Creates a running app for the specified UserProfile. This operation is automatically - * invoked by Amazon SageMaker upon access to the associated Domain, and when new kernel + * invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel * configurations are selected by the user. A user may have multiple Apps active * simultaneously.
* @example diff --git a/clients/client-sagemaker/src/commands/CreateAppImageConfigCommand.ts b/clients/client-sagemaker/src/commands/CreateAppImageConfigCommand.ts index eb490771dc84..dd52451b5f6a 100644 --- a/clients/client-sagemaker/src/commands/CreateAppImageConfigCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateAppImageConfigCommand.ts @@ -28,7 +28,7 @@ export interface CreateAppImageConfigCommandInput extends CreateAppImageConfigRe export interface CreateAppImageConfigCommandOutput extends CreateAppImageConfigResponse, __MetadataBearer {} /** - *Creates a configuration for running a SageMaker image as a KernelGateway app. The + *
Creates a configuration for running a SageMaker AI image as a KernelGateway app. The * configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the * kernels in the image.
* @example diff --git a/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts b/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts index 2edeb45f9133..fad6346d3b8a 100644 --- a/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts @@ -29,18 +29,18 @@ export interface CreateAutoMLJobCommandOutput extends CreateAutoMLJobResponse, _ /** *Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
- *An AutoML job in SageMaker is a fully automated process that allows you to build machine + *
An AutoML job in SageMaker AI is a fully automated process that allows you to build machine * learning models with minimal effort and machine learning expertise. When initiating an * AutoML job, you provide your data and optionally specify parameters tailored to your use - * case. SageMaker then automates the entire model development lifecycle, including data + * case. SageMaker AI then automates the entire model development lifecycle, including data * preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify * and accelerate the model building process by automating various tasks and exploring * different combinations of machine learning algorithms, data preprocessing techniques, and * hyperparameter values. The output of an AutoML job comprises one or more trained models - * ready for deployment and inference. Additionally, SageMaker AutoML jobs generate a candidate + * ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate * model leaderboard, allowing you to select the best-performing model for deployment.
*For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html - * in the SageMaker developer guide.
+ * in the SageMaker AI developer guide. *We recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.
*diff --git a/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts b/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts index 5c8b9100c043..98608565fc3d 100644 --- a/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts +++ b/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts @@ -29,18 +29,18 @@ export interface CreateAutoMLJobV2CommandOutput extends CreateAutoMLJobV2Respons /** *
Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
- *An AutoML job in SageMaker is a fully automated process that allows you to build machine + *
An AutoML job in SageMaker AI is a fully automated process that allows you to build machine * learning models with minimal effort and machine learning expertise. When initiating an * AutoML job, you provide your data and optionally specify parameters tailored to your use - * case. SageMaker then automates the entire model development lifecycle, including data + * case. SageMaker AI then automates the entire model development lifecycle, including data * preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify * and accelerate the model building process by automating various tasks and exploring * different combinations of machine learning algorithms, data preprocessing techniques, and * hyperparameter values. The output of an AutoML job comprises one or more trained models - * ready for deployment and inference. Additionally, SageMaker AutoML jobs generate a candidate + * ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate * model leaderboard, allowing you to select the best-performing model for deployment.
*For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html - * in the SageMaker developer guide.
+ * in the SageMaker AI developer guide. *AutoML jobs V2 support various problem types such as regression, binary, and multiclass * classification with tabular data, text and image classification, time-series forecasting, * and fine-tuning of large language models (LLMs) for text generation.
diff --git a/clients/client-sagemaker/src/commands/CreateClusterCommand.ts b/clients/client-sagemaker/src/commands/CreateClusterCommand.ts index 5f850297eb89..30a3aa4c5f72 100644 --- a/clients/client-sagemaker/src/commands/CreateClusterCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateClusterCommand.ts @@ -44,7 +44,7 @@ export interface CreateClusterCommandOutput extends CreateClusterResponse, __Met * { // ClusterInstanceGroupSpecification * InstanceCount: Number("int"), // required * InstanceGroupName: "STRING_VALUE", // required - * InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge", // required + * InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge", // required * LifeCycleConfig: { // ClusterLifeCycleConfig * SourceS3Uri: "STRING_VALUE", // required * OnCreate: "STRING_VALUE", // required diff --git a/clients/client-sagemaker/src/commands/CreateCodeRepositoryCommand.ts b/clients/client-sagemaker/src/commands/CreateCodeRepositoryCommand.ts index 6eece784e2e1..5f5e0a6bbc53 100644 --- a/clients/client-sagemaker/src/commands/CreateCodeRepositoryCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateCodeRepositoryCommand.ts @@ -28,9 +28,9 @@ export interface CreateCodeRepositoryCommandInput extends CreateCodeRepositoryIn export interface CreateCodeRepositoryCommandOutput extends CreateCodeRepositoryOutput, __MetadataBearer {} /** - *Creates a Git repository as a resource in your SageMaker account. You can + *
Creates a Git repository as a resource in your SageMaker AI account. You can * associate the repository with notebook instances so that you can use Git source control - * for the notebooks you create. The Git repository is a resource in your SageMaker + * for the notebooks you create. The Git repository is a resource in your SageMaker AI * account, so it can be associated with more than one notebook instance, and it persists * independently from the lifecycle of any notebook instances it is associated with.
*The repository can be hosted either in Amazon Web Services CodeCommit diff --git a/clients/client-sagemaker/src/commands/CreateCompilationJobCommand.ts b/clients/client-sagemaker/src/commands/CreateCompilationJobCommand.ts index 453be26c7b7d..cd630d3184b0 100644 --- a/clients/client-sagemaker/src/commands/CreateCompilationJobCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateCompilationJobCommand.ts @@ -28,10 +28,10 @@ export interface CreateCompilationJobCommandInput extends CreateCompilationJobRe export interface CreateCompilationJobCommandOutput extends CreateCompilationJobResponse, __MetadataBearer {} /** - *
Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the + *
Starts a model compilation job. After the model has been compiled, Amazon SageMaker AI saves the * resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
*If - * you choose to host your model using Amazon SageMaker hosting services, you can use the resulting + * you choose to host your model using Amazon SageMaker AI hosting services, you can use the resulting * model artifacts as part of the model. You can also use the artifacts with * Amazon Web Services IoT Greengrass. In that case, deploy them as an ML * resource.
@@ -48,7 +48,7 @@ export interface CreateCompilationJobCommandOutput extends CreateCompilationJobR * model runs on * *The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform + *
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker AI assumes to perform * the model compilation job.
*Creates a definition for a job that monitors data quality and drift. For information - * about model monitor, see Amazon SageMaker Model + * about model monitor, see Amazon SageMaker AI Model * Monitor.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/CreateDomainCommand.ts b/clients/client-sagemaker/src/commands/CreateDomainCommand.ts index 476961ffab3e..dc194630ddf8 100644 --- a/clients/client-sagemaker/src/commands/CreateDomainCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateDomainCommand.ts @@ -38,7 +38,7 @@ export interface CreateDomainCommandOutput extends CreateDomainResponse, __Metad *When a domain is created, an EFS volume is created for use by all of the users within the * domain. Each user receives a private home directory within the EFS volume for notebooks, Git * repositories, and data files.
- *SageMaker uses the Amazon Web Services Key Management Service (Amazon Web Services + *
SageMaker AI uses the Amazon Web Services Key Management Service (Amazon Web Services
* KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key
* by default. For more control, you can specify a customer managed key. For more information,
* see Protect Data
@@ -54,24 +54,24 @@ export interface CreateDomainCommandOutput extends CreateDomainResponse, __Metad
*
* PublicInternetOnly - Non-EFS traffic goes through a VPC managed by
- * Amazon SageMaker, which allows internet access. This is the default value.
* VpcOnly - All traffic is through the specified VPC and subnets. Internet
* access is disabled by default. To allow internet access, you must specify a NAT
* gateway.
When internet access is disabled, you won't be able to run a Amazon SageMaker + *
When internet access is disabled, you won't be able to run a Amazon SageMaker AI * Studio notebook or to train or host models unless your VPC has an interface endpoint to - * the SageMaker API and runtime or a NAT gateway and your security groups allow + * the SageMaker AI API and runtime or a NAT gateway and your security groups allow * outbound connections.
*NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules - * in order to launch a Amazon SageMaker Studio app successfully.
+ * in order to launch a Amazon SageMaker AI Studio app successfully. *For more information, see Connect Amazon SageMaker Studio Notebooks to Resources in a VPC.
+ *For more information, see Connect Amazon SageMaker AI Studio Notebooks to Resources in a VPC.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript @@ -279,7 +279,7 @@ export interface CreateDomainCommandOutput extends CreateDomainResponse, __Metad * ], * StudioWebPortalSettings: { // StudioWebPortalSettings * HiddenMlTools: [ // HiddenMlToolsList - * "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "HyperPodClusters" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler", + * "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler" || "HyperPodClusters", * ], * HiddenAppTypes: [ // HiddenAppTypesList * "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas", diff --git a/clients/client-sagemaker/src/commands/CreateImageCommand.ts b/clients/client-sagemaker/src/commands/CreateImageCommand.ts index 5be8c0b8836d..70bcc91e1efe 100644 --- a/clients/client-sagemaker/src/commands/CreateImageCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateImageCommand.ts @@ -28,9 +28,9 @@ export interface CreateImageCommandInput extends CreateImageRequest {} export interface CreateImageCommandOutput extends CreateImageResponse, __MetadataBearer {} /** - *Creates a custom SageMaker image. A SageMaker image is a set of image versions. Each image + *
Creates a custom SageMaker AI image. A SageMaker AI image is a set of image versions. Each image * version represents a container image stored in Amazon ECR. For more information, see - * Bring your own SageMaker image.
+ * Bring your own SageMaker AI image. * @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/CreateImageVersionCommand.ts b/clients/client-sagemaker/src/commands/CreateImageVersionCommand.ts index ddc11166c768..1c54c8685e8b 100644 --- a/clients/client-sagemaker/src/commands/CreateImageVersionCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateImageVersionCommand.ts @@ -28,7 +28,7 @@ export interface CreateImageVersionCommandInput extends CreateImageVersionReques export interface CreateImageVersionCommandOutput extends CreateImageVersionResponse, __MetadataBearer {} /** - *Creates a version of the SageMaker image specified by ImageName. The version
+ *
Creates a version of the SageMaker AI image specified by ImageName. The version
* represents the Amazon ECR container image specified by BaseImage.
Creates an inference component, which is a SageMaker hosting object that you can + *
Creates an inference component, which is a SageMaker AI hosting object that you can * use to deploy a model to an endpoint. In the inference component settings, you specify the * model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You * can optimize resource utilization by tailoring how the required CPU cores, accelerators, diff --git a/clients/client-sagemaker/src/commands/CreateModelPackageCommand.ts b/clients/client-sagemaker/src/commands/CreateModelPackageCommand.ts index 19f56ba78923..3f6872276371 100644 --- a/clients/client-sagemaker/src/commands/CreateModelPackageCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateModelPackageCommand.ts @@ -101,7 +101,7 @@ export interface CreateModelPackageCommandOutput extends CreateModelPackageOutpu * }, * ], * SupportedTransformInstanceTypes: [ // TransformInstanceTypes - * "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * ], * SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", @@ -143,7 +143,7 @@ export interface CreateModelPackageCommandOutput extends CreateModelPackageOutpu * KmsKeyId: "STRING_VALUE", * }, * TransformResources: { // TransformResources - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required * InstanceCount: Number("int"), // required * VolumeKmsKeyId: "STRING_VALUE", * }, @@ -301,7 +301,7 @@ export interface CreateModelPackageCommandOutput extends CreateModelPackageOutpu * }, * ], * SupportedTransformInstanceTypes: [ - * "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * ], * SupportedRealtimeInferenceInstanceTypes: [ * "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", diff --git a/clients/client-sagemaker/src/commands/CreateModelQualityJobDefinitionCommand.ts b/clients/client-sagemaker/src/commands/CreateModelQualityJobDefinitionCommand.ts index 9e8d353e24d9..642899069e5e 100644 --- a/clients/client-sagemaker/src/commands/CreateModelQualityJobDefinitionCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateModelQualityJobDefinitionCommand.ts @@ -34,7 +34,7 @@ export interface CreateModelQualityJobDefinitionCommandOutput /** *
Creates a definition for a job that monitors model quality and drift. For information - * about model monitor, see Amazon SageMaker Model + * about model monitor, see Amazon SageMaker AI Model * Monitor.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/CreateMonitoringScheduleCommand.ts b/clients/client-sagemaker/src/commands/CreateMonitoringScheduleCommand.ts index 1f59b9c315b5..703de39268de 100644 --- a/clients/client-sagemaker/src/commands/CreateMonitoringScheduleCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateMonitoringScheduleCommand.ts @@ -28,8 +28,8 @@ export interface CreateMonitoringScheduleCommandInput extends CreateMonitoringSc export interface CreateMonitoringScheduleCommandOutput extends CreateMonitoringScheduleResponse, __MetadataBearer {} /** - *Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to - * monitor the data captured for an Amazon SageMaker Endpoint.
+ *Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to + * monitor the data captured for an Amazon SageMaker AI Endpoint.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts b/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts index 727ab4aae16a..345347ed1eed 100644 --- a/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts @@ -28,41 +28,41 @@ export interface CreateNotebookInstanceCommandInput extends CreateNotebookInstan export interface CreateNotebookInstanceCommandOutput extends CreateNotebookInstanceOutput, __MetadataBearer {} /** - *Creates an SageMaker notebook instance. A notebook instance is a machine + *
Creates an SageMaker AI notebook instance. A notebook instance is a machine * learning (ML) compute instance running on a Jupyter notebook.
*In a CreateNotebookInstance request, specify the type of ML compute
- * instance that you want to run. SageMaker launches the instance, installs common
+ * instance that you want to run. SageMaker AI launches the instance, installs common
* libraries that you can use to explore datasets for model training, and attaches an ML
* storage volume to the notebook instance.
SageMaker also provides a set of example notebooks. Each notebook - * demonstrates how to use SageMaker with a specific algorithm or with a machine + *
SageMaker AI also provides a set of example notebooks. Each notebook + * demonstrates how to use SageMaker AI with a specific algorithm or with a machine * learning framework.
- *After receiving the request, SageMaker does the following:
+ *After receiving the request, SageMaker AI does the following:
*Creates a network interface in the SageMaker VPC.
+ *Creates a network interface in the SageMaker AI VPC.
*(Option) If you specified SubnetId, SageMaker creates
+ *
(Option) If you specified SubnetId, SageMaker AI creates
* a network interface in your own VPC, which is inferred from the subnet ID that
- * you provide in the input. When creating this network interface, SageMaker attaches the security group that you specified in the request to the network
+ * you provide in the input. When creating this network interface, SageMaker AI attaches the security group that you specified in the request to the network
* interface that it creates in your VPC.
Launches an EC2 instance of the type specified in the request in the
- * SageMaker VPC. If you specified SubnetId of your VPC,
- * SageMaker specifies both network interfaces when launching this
+ * SageMaker AI VPC. If you specified SubnetId of your VPC,
+ * SageMaker AI specifies both network interfaces when launching this
* instance. This enables inbound traffic from your own VPC to the notebook
* instance, assuming that the security groups allow it.
After creating the notebook instance, SageMaker returns its Amazon Resource + *
After creating the notebook instance, SageMaker AI returns its Amazon Resource * Name (ARN). You can't change the name of a notebook instance after you create * it.
- *After SageMaker creates the notebook instance, you can connect to the + *
After SageMaker AI creates the notebook instance, you can connect to the * Jupyter server and work in Jupyter notebooks. For example, you can write code to explore * a dataset that you can use for model training, train a model, host models by creating - * SageMaker endpoints, and validate hosted models.
+ * SageMaker AI endpoints, and validate hosted models. *For more information, see How It Works.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/CreatePresignedDomainUrlCommand.ts b/clients/client-sagemaker/src/commands/CreatePresignedDomainUrlCommand.ts index 384297046496..361fcbb10f37 100644 --- a/clients/client-sagemaker/src/commands/CreatePresignedDomainUrlCommand.ts +++ b/clients/client-sagemaker/src/commands/CreatePresignedDomainUrlCommand.ts @@ -38,7 +38,7 @@ export interface CreatePresignedDomainUrlCommandOutput extends CreatePresignedDo * HTTP request and WebSocket frame that attempts to connect to the app. *You can restrict access to this API and to the URL that it returns to a list of IP * addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more - * information, see Connect to Amazon SageMaker + * information, see Connect to Amazon SageMaker AI * Studio Through an Interface VPC Endpoint .
*Returns a URL that you can use to connect to the Jupyter server from a notebook
- * instance. In the SageMaker console, when you choose Open next to a
- * notebook instance, SageMaker opens a new tab showing the Jupyter server home
+ * instance. In the SageMaker AI console, when you choose Open next to a
+ * notebook instance, SageMaker AI opens a new tab showing the Jupyter server home
* page from the notebook instance. The console uses this API to get the URL and show the
* page.
The IAM role or user used to call this API defines the permissions to diff --git a/clients/client-sagemaker/src/commands/CreateStudioLifecycleConfigCommand.ts b/clients/client-sagemaker/src/commands/CreateStudioLifecycleConfigCommand.ts index e9c40615d0cc..01cf92a9c761 100644 --- a/clients/client-sagemaker/src/commands/CreateStudioLifecycleConfigCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateStudioLifecycleConfigCommand.ts @@ -30,7 +30,7 @@ export interface CreateStudioLifecycleConfigCommandOutput __MetadataBearer {} /** - *
Creates a new Amazon SageMaker Studio Lifecycle Configuration.
+ *Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/CreateTransformJobCommand.ts b/clients/client-sagemaker/src/commands/CreateTransformJobCommand.ts index be63fa154ca7..fa2e70a9285b 100644 --- a/clients/client-sagemaker/src/commands/CreateTransformJobCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateTransformJobCommand.ts @@ -105,7 +105,7 @@ export interface CreateTransformJobCommandOutput extends CreateTransformJobRespo * GenerateInferenceId: true || false, * }, * TransformResources: { // TransformResources - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required * InstanceCount: Number("int"), // required * VolumeKmsKeyId: "STRING_VALUE", * }, diff --git a/clients/client-sagemaker/src/commands/CreateUserProfileCommand.ts b/clients/client-sagemaker/src/commands/CreateUserProfileCommand.ts index 73d2eafc179e..8ff3079fa5a3 100644 --- a/clients/client-sagemaker/src/commands/CreateUserProfileCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateUserProfileCommand.ts @@ -250,7 +250,7 @@ export interface CreateUserProfileCommandOutput extends CreateUserProfileRespons * ], * StudioWebPortalSettings: { // StudioWebPortalSettings * HiddenMlTools: [ // HiddenMlToolsList - * "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "HyperPodClusters" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler", + * "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler" || "HyperPodClusters", * ], * HiddenAppTypes: [ // HiddenAppTypesList * "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas", diff --git a/clients/client-sagemaker/src/commands/DeleteCompilationJobCommand.ts b/clients/client-sagemaker/src/commands/DeleteCompilationJobCommand.ts index 748b8ff0b9ac..3261f34846f5 100644 --- a/clients/client-sagemaker/src/commands/DeleteCompilationJobCommand.ts +++ b/clients/client-sagemaker/src/commands/DeleteCompilationJobCommand.ts @@ -29,7 +29,7 @@ export interface DeleteCompilationJobCommandOutput extends __MetadataBearer {} /** *Deletes the specified compilation job. This action deletes only the compilation job - * resource in Amazon SageMaker. It doesn't delete other resources that are related to + * resource in Amazon SageMaker AI. It doesn't delete other resources that are related to * that job, such as the model artifacts that the job creates, the compilation logs in * CloudWatch, the compiled model, or the IAM role.
*You can delete a compilation job only if its current status is COMPLETED,
diff --git a/clients/client-sagemaker/src/commands/DeleteImageCommand.ts b/clients/client-sagemaker/src/commands/DeleteImageCommand.ts
index b858f6f4ceef..50a681deb72c 100644
--- a/clients/client-sagemaker/src/commands/DeleteImageCommand.ts
+++ b/clients/client-sagemaker/src/commands/DeleteImageCommand.ts
@@ -28,7 +28,7 @@ export interface DeleteImageCommandInput extends DeleteImageRequest {}
export interface DeleteImageCommandOutput extends DeleteImageResponse, __MetadataBearer {}
/**
- *
Deletes a SageMaker image and all versions of the image. The container images aren't + *
Deletes a SageMaker AI image and all versions of the image. The container images aren't * deleted.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/DeleteImageVersionCommand.ts b/clients/client-sagemaker/src/commands/DeleteImageVersionCommand.ts index a2c918ea45f3..f407aa31cb30 100644 --- a/clients/client-sagemaker/src/commands/DeleteImageVersionCommand.ts +++ b/clients/client-sagemaker/src/commands/DeleteImageVersionCommand.ts @@ -28,7 +28,7 @@ export interface DeleteImageVersionCommandInput extends DeleteImageVersionReques export interface DeleteImageVersionCommandOutput extends DeleteImageVersionResponse, __MetadataBearer {} /** - *Deletes a version of a SageMaker image. The container image the version represents isn't + *
Deletes a version of a SageMaker AI image. The container image the version represents isn't * deleted.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/DeleteModelBiasJobDefinitionCommand.ts b/clients/client-sagemaker/src/commands/DeleteModelBiasJobDefinitionCommand.ts index 073364df1a18..05919df84538 100644 --- a/clients/client-sagemaker/src/commands/DeleteModelBiasJobDefinitionCommand.ts +++ b/clients/client-sagemaker/src/commands/DeleteModelBiasJobDefinitionCommand.ts @@ -31,7 +31,7 @@ export interface DeleteModelBiasJobDefinitionCommandInput extends DeleteModelBia export interface DeleteModelBiasJobDefinitionCommandOutput extends __MetadataBearer {} /** - *Deletes an Amazon SageMaker model bias job definition.
+ *Deletes an Amazon SageMaker AI model bias job definition.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/DeleteModelExplainabilityJobDefinitionCommand.ts b/clients/client-sagemaker/src/commands/DeleteModelExplainabilityJobDefinitionCommand.ts index 0c697f2f7387..95480614a1b2 100644 --- a/clients/client-sagemaker/src/commands/DeleteModelExplainabilityJobDefinitionCommand.ts +++ b/clients/client-sagemaker/src/commands/DeleteModelExplainabilityJobDefinitionCommand.ts @@ -32,7 +32,7 @@ export interface DeleteModelExplainabilityJobDefinitionCommandInput export interface DeleteModelExplainabilityJobDefinitionCommandOutput extends __MetadataBearer {} /** - *Deletes an Amazon SageMaker model explainability job definition.
+ *Deletes an Amazon SageMaker AI model explainability job definition.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts b/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts index 9b4e62d8decc..296e06425717 100644 --- a/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts +++ b/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts @@ -28,10 +28,10 @@ export interface DeleteNotebookInstanceCommandInput extends DeleteNotebookInstan export interface DeleteNotebookInstanceCommandOutput extends __MetadataBearer {} /** - *Deletes an SageMaker notebook instance. Before you can delete a notebook + *
Deletes an SageMaker AI notebook instance. Before you can delete a notebook
* instance, you must call the StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker removes the ML compute instance, and deletes the ML storage volume and the + *
When you delete a notebook instance, you lose all of your data. SageMaker AI removes the ML compute instance, and deletes the ML storage volume and the * network interface associated with the notebook instance.
*Deletes the Amazon SageMaker Studio Lifecycle Configuration. In order to delete the + *
Deletes the Amazon SageMaker AI Studio Lifecycle Configuration. In order to delete the * Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You * must also remove the Lifecycle Configuration from UserSettings in all Domains and * UserProfiles.
diff --git a/clients/client-sagemaker/src/commands/DescribeAlgorithmCommand.ts b/clients/client-sagemaker/src/commands/DescribeAlgorithmCommand.ts index 502b25ef485e..3e1ea3f78404 100644 --- a/clients/client-sagemaker/src/commands/DescribeAlgorithmCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeAlgorithmCommand.ts @@ -150,7 +150,7 @@ export interface DescribeAlgorithmCommandOutput extends DescribeAlgorithmOutput, * // }, * // ], * // SupportedTransformInstanceTypes: [ // TransformInstanceTypes - * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * // ], * // SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", @@ -254,7 +254,7 @@ export interface DescribeAlgorithmCommandOutput extends DescribeAlgorithmOutput, * // KmsKeyId: "STRING_VALUE", * // }, * // TransformResources: { // TransformResources - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required * // InstanceCount: Number("int"), // required * // VolumeKmsKeyId: "STRING_VALUE", * // }, diff --git a/clients/client-sagemaker/src/commands/DescribeClusterCommand.ts b/clients/client-sagemaker/src/commands/DescribeClusterCommand.ts index f562aaf36eb4..1d46fa432d21 100644 --- a/clients/client-sagemaker/src/commands/DescribeClusterCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeClusterCommand.ts @@ -51,7 +51,7 @@ export interface DescribeClusterCommandOutput extends DescribeClusterResponse, _ * // CurrentCount: Number("int"), * // TargetCount: Number("int"), * // InstanceGroupName: "STRING_VALUE", - * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge", + * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge", * // LifeCycleConfig: { // ClusterLifeCycleConfig * // SourceS3Uri: "STRING_VALUE", // required * // OnCreate: "STRING_VALUE", // required diff --git a/clients/client-sagemaker/src/commands/DescribeClusterNodeCommand.ts b/clients/client-sagemaker/src/commands/DescribeClusterNodeCommand.ts index 225a36e4103a..1ddb90522545 100644 --- a/clients/client-sagemaker/src/commands/DescribeClusterNodeCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeClusterNodeCommand.ts @@ -50,7 +50,7 @@ export interface DescribeClusterNodeCommandOutput extends DescribeClusterNodeRes * // Status: "Running" || "Failure" || "Pending" || "ShuttingDown" || "SystemUpdating" || "DeepHealthCheckInProgress", // required * // Message: "STRING_VALUE", * // }, - * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge", + * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge", * // LaunchTime: new Date("TIMESTAMP"), * // LifeCycleConfig: { // ClusterLifeCycleConfig * // SourceS3Uri: "STRING_VALUE", // required diff --git a/clients/client-sagemaker/src/commands/DescribeComputeQuotaCommand.ts b/clients/client-sagemaker/src/commands/DescribeComputeQuotaCommand.ts index ccafe6497616..cdbad160c147 100644 --- a/clients/client-sagemaker/src/commands/DescribeComputeQuotaCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeComputeQuotaCommand.ts @@ -53,7 +53,7 @@ export interface DescribeComputeQuotaCommandOutput extends DescribeComputeQuotaR * // ComputeQuotaConfig: { // ComputeQuotaConfig * // ComputeQuotaResources: [ // ComputeQuotaResourceConfigList * // { // ComputeQuotaResourceConfig - * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge", // required + * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge", // required * // Count: Number("int"), // required * // }, * // ], diff --git a/clients/client-sagemaker/src/commands/DescribeDomainCommand.ts b/clients/client-sagemaker/src/commands/DescribeDomainCommand.ts index c5c47c7bb21b..9e96ea563872 100644 --- a/clients/client-sagemaker/src/commands/DescribeDomainCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeDomainCommand.ts @@ -251,7 +251,7 @@ export interface DescribeDomainCommandOutput extends DescribeDomainResponse, __M * // ], * // StudioWebPortalSettings: { // StudioWebPortalSettings * // HiddenMlTools: [ // HiddenMlToolsList - * // "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "HyperPodClusters" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler", + * // "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler" || "HyperPodClusters", * // ], * // HiddenAppTypes: [ // HiddenAppTypesList * // "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas", diff --git a/clients/client-sagemaker/src/commands/DescribeImageCommand.ts b/clients/client-sagemaker/src/commands/DescribeImageCommand.ts index 10ebbe3d93bd..9982881d8f89 100644 --- a/clients/client-sagemaker/src/commands/DescribeImageCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeImageCommand.ts @@ -28,7 +28,7 @@ export interface DescribeImageCommandInput extends DescribeImageRequest {} export interface DescribeImageCommandOutput extends DescribeImageResponse, __MetadataBearer {} /** - *Describes a SageMaker image.
+ *Describes a SageMaker AI image.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/DescribeImageVersionCommand.ts b/clients/client-sagemaker/src/commands/DescribeImageVersionCommand.ts index 723bad2739d4..398a1b66766b 100644 --- a/clients/client-sagemaker/src/commands/DescribeImageVersionCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeImageVersionCommand.ts @@ -28,7 +28,7 @@ export interface DescribeImageVersionCommandInput extends DescribeImageVersionRe export interface DescribeImageVersionCommandOutput extends DescribeImageVersionResponse, __MetadataBearer {} /** - *Describes a version of a SageMaker image.
+ *Describes a version of a SageMaker AI image.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/DescribeModelPackageCommand.ts b/clients/client-sagemaker/src/commands/DescribeModelPackageCommand.ts index 6db1b4323b8e..b57054a4215b 100644 --- a/clients/client-sagemaker/src/commands/DescribeModelPackageCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeModelPackageCommand.ts @@ -98,7 +98,7 @@ export interface DescribeModelPackageCommandOutput extends DescribeModelPackageO * // }, * // ], * // SupportedTransformInstanceTypes: [ // TransformInstanceTypes - * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * // ], * // SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", @@ -162,7 +162,7 @@ export interface DescribeModelPackageCommandOutput extends DescribeModelPackageO * // KmsKeyId: "STRING_VALUE", * // }, * // TransformResources: { // TransformResources - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required * // InstanceCount: Number("int"), // required * // VolumeKmsKeyId: "STRING_VALUE", * // }, @@ -330,7 +330,7 @@ export interface DescribeModelPackageCommandOutput extends DescribeModelPackageO * // }, * // ], * // SupportedTransformInstanceTypes: [ - * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * // ], * // SupportedRealtimeInferenceInstanceTypes: [ * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", diff --git a/clients/client-sagemaker/src/commands/DescribeStudioLifecycleConfigCommand.ts b/clients/client-sagemaker/src/commands/DescribeStudioLifecycleConfigCommand.ts index 9d157318d571..4dad66867a3f 100644 --- a/clients/client-sagemaker/src/commands/DescribeStudioLifecycleConfigCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeStudioLifecycleConfigCommand.ts @@ -33,7 +33,7 @@ export interface DescribeStudioLifecycleConfigCommandOutput __MetadataBearer {} /** - *Describes the Amazon SageMaker Studio Lifecycle Configuration.
+ *Describes the Amazon SageMaker AI Studio Lifecycle Configuration.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/DescribeTransformJobCommand.ts b/clients/client-sagemaker/src/commands/DescribeTransformJobCommand.ts index 1e97ea5f9b61..d3cdc0b0a3ac 100644 --- a/clients/client-sagemaker/src/commands/DescribeTransformJobCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeTransformJobCommand.ts @@ -79,7 +79,7 @@ export interface DescribeTransformJobCommandOutput extends DescribeTransformJobR * // GenerateInferenceId: true || false, * // }, * // TransformResources: { // TransformResources - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required * // InstanceCount: Number("int"), // required * // VolumeKmsKeyId: "STRING_VALUE", * // }, diff --git a/clients/client-sagemaker/src/commands/DescribeUserProfileCommand.ts b/clients/client-sagemaker/src/commands/DescribeUserProfileCommand.ts index cf7c87122fae..36ed1f7b9b3a 100644 --- a/clients/client-sagemaker/src/commands/DescribeUserProfileCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeUserProfileCommand.ts @@ -250,7 +250,7 @@ export interface DescribeUserProfileCommandOutput extends DescribeUserProfileRes * // ], * // StudioWebPortalSettings: { // StudioWebPortalSettings * // HiddenMlTools: [ // HiddenMlToolsList - * // "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "HyperPodClusters" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler", + * // "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler" || "HyperPodClusters", * // ], * // HiddenAppTypes: [ // HiddenAppTypesList * // "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas", diff --git a/clients/client-sagemaker/src/commands/ListClusterNodesCommand.ts b/clients/client-sagemaker/src/commands/ListClusterNodesCommand.ts index 2c607dc3d3e9..e0396c5b3103 100644 --- a/clients/client-sagemaker/src/commands/ListClusterNodesCommand.ts +++ b/clients/client-sagemaker/src/commands/ListClusterNodesCommand.ts @@ -54,7 +54,7 @@ export interface ListClusterNodesCommandOutput extends ListClusterNodesResponse, * // { // ClusterNodeSummary * // InstanceGroupName: "STRING_VALUE", // required * // InstanceId: "STRING_VALUE", // required - * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge", // required + * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge", // required * // LaunchTime: new Date("TIMESTAMP"), // required * // InstanceStatus: { // ClusterInstanceStatusDetails * // Status: "Running" || "Failure" || "Pending" || "ShuttingDown" || "SystemUpdating" || "DeepHealthCheckInProgress", // required diff --git a/clients/client-sagemaker/src/commands/ListComputeQuotasCommand.ts b/clients/client-sagemaker/src/commands/ListComputeQuotasCommand.ts index 02607ea8c448..92e0520b6375 100644 --- a/clients/client-sagemaker/src/commands/ListComputeQuotasCommand.ts +++ b/clients/client-sagemaker/src/commands/ListComputeQuotasCommand.ts @@ -60,7 +60,7 @@ export interface ListComputeQuotasCommandOutput extends ListComputeQuotasRespons * // ComputeQuotaConfig: { // ComputeQuotaConfig * // ComputeQuotaResources: [ // ComputeQuotaResourceConfigList * // { // ComputeQuotaResourceConfig - * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge", // required + * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge", // required * // Count: Number("int"), // required * // }, * // ], diff --git a/clients/client-sagemaker/src/commands/ListNotebookInstancesCommand.ts b/clients/client-sagemaker/src/commands/ListNotebookInstancesCommand.ts index 2f6d077d09d0..5e5b8689e6c8 100644 --- a/clients/client-sagemaker/src/commands/ListNotebookInstancesCommand.ts +++ b/clients/client-sagemaker/src/commands/ListNotebookInstancesCommand.ts @@ -28,7 +28,7 @@ export interface ListNotebookInstancesCommandInput extends ListNotebookInstances export interface ListNotebookInstancesCommandOutput extends ListNotebookInstancesOutput, __MetadataBearer {} /** - *Returns a list of the SageMaker notebook instances in the requester's + *
Returns a list of the SageMaker AI notebook instances in the requester's * account in an Amazon Web Services Region.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/ListStudioLifecycleConfigsCommand.ts b/clients/client-sagemaker/src/commands/ListStudioLifecycleConfigsCommand.ts index 812178eb4978..daf2aa16b74c 100644 --- a/clients/client-sagemaker/src/commands/ListStudioLifecycleConfigsCommand.ts +++ b/clients/client-sagemaker/src/commands/ListStudioLifecycleConfigsCommand.ts @@ -28,7 +28,7 @@ export interface ListStudioLifecycleConfigsCommandInput extends ListStudioLifecy export interface ListStudioLifecycleConfigsCommandOutput extends ListStudioLifecycleConfigsResponse, __MetadataBearer {} /** - *Lists the Amazon SageMaker Studio Lifecycle Configurations in your Amazon Web Services + *
Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services * Account.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/SearchCommand.ts b/clients/client-sagemaker/src/commands/SearchCommand.ts index f02c316ea4c3..4cc89ba539af 100644 --- a/clients/client-sagemaker/src/commands/SearchCommand.ts +++ b/clients/client-sagemaker/src/commands/SearchCommand.ts @@ -818,7 +818,7 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {} * // GenerateInferenceId: true || false, * // }, * // TransformResources: { // TransformResources - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required * // InstanceCount: Number("int"), // required * // VolumeKmsKeyId: "STRING_VALUE", * // }, @@ -1123,7 +1123,7 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {} * // }, * // ], * // SupportedTransformInstanceTypes: [ // TransformInstanceTypes - * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * // ], * // SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", @@ -1187,7 +1187,7 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {} * // KmsKeyId: "STRING_VALUE", * // }, * // TransformResources: { - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", // required * // InstanceCount: Number("int"), // required * // VolumeKmsKeyId: "STRING_VALUE", * // }, @@ -1307,7 +1307,7 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {} * // }, * // ], * // SupportedTransformInstanceTypes: [ - * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * // "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * // ], * // SupportedRealtimeInferenceInstanceTypes: [ * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", diff --git a/clients/client-sagemaker/src/commands/StartNotebookInstanceCommand.ts b/clients/client-sagemaker/src/commands/StartNotebookInstanceCommand.ts index 74fa0dbb37c2..2ce312b5b56e 100644 --- a/clients/client-sagemaker/src/commands/StartNotebookInstanceCommand.ts +++ b/clients/client-sagemaker/src/commands/StartNotebookInstanceCommand.ts @@ -29,7 +29,7 @@ export interface StartNotebookInstanceCommandOutput extends __MetadataBearer {} /** *Launches an ML compute instance with the latest version of the libraries and
- * attaches your ML storage volume. After configuring the notebook instance, SageMaker sets the notebook instance status to InService. A notebook
+ * attaches your ML storage volume. After configuring the notebook instance, SageMaker AI sets the notebook instance status to InService. A notebook
* instance's status must be InService before you can connect to your Jupyter
* notebook.
Stops a model compilation job.
- *To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the + *
To stop a job, Amazon SageMaker AI sends the algorithm the SIGTERM signal. This gracefully shuts the * job down. If the job hasn't stopped, it sends the SIGKILL signal.
- *When it receives a StopCompilationJob request, Amazon SageMaker changes the
+ *
When it receives a StopCompilationJob request, Amazon SageMaker AI changes the
* CompilationJobStatus of the job to Stopping. After Amazon
* SageMaker stops the job, it sets the CompilationJobStatus to
* Stopped.
Terminates the ML compute instance. Before terminating the instance, SageMaker disconnects the ML storage volume from it. SageMaker preserves the - * ML storage volume. SageMaker stops charging you for the ML compute instance when + *
Terminates the ML compute instance. Before terminating the instance, SageMaker AI disconnects the ML storage volume from it. SageMaker AI preserves the
+ * ML storage volume. SageMaker AI stops charging you for the ML compute instance when
* you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been
* terminated, call the StartNotebookInstance API.
diff --git a/clients/client-sagemaker/src/commands/UpdateClusterCommand.ts b/clients/client-sagemaker/src/commands/UpdateClusterCommand.ts
index aeaed438687b..81f1b2f1ead8 100644
--- a/clients/client-sagemaker/src/commands/UpdateClusterCommand.ts
+++ b/clients/client-sagemaker/src/commands/UpdateClusterCommand.ts
@@ -41,7 +41,7 @@ export interface UpdateClusterCommandOutput extends UpdateClusterResponse, __Met
* { // ClusterInstanceGroupSpecification
* InstanceCount: Number("int"), // required
* InstanceGroupName: "STRING_VALUE", // required
- * InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge", // required
+ * InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge", // required
* LifeCycleConfig: { // ClusterLifeCycleConfig
* SourceS3Uri: "STRING_VALUE", // required
* OnCreate: "STRING_VALUE", // required
diff --git a/clients/client-sagemaker/src/commands/UpdateComputeQuotaCommand.ts b/clients/client-sagemaker/src/commands/UpdateComputeQuotaCommand.ts
index f61696bdc8d5..13548d8697ce 100644
--- a/clients/client-sagemaker/src/commands/UpdateComputeQuotaCommand.ts
+++ b/clients/client-sagemaker/src/commands/UpdateComputeQuotaCommand.ts
@@ -41,7 +41,7 @@ export interface UpdateComputeQuotaCommandOutput extends UpdateComputeQuotaRespo
* ComputeQuotaConfig: { // ComputeQuotaConfig
* ComputeQuotaResources: [ // ComputeQuotaResourceConfigList
* { // ComputeQuotaResourceConfig
- * InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge", // required
+ * InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge", // required
* Count: Number("int"), // required
* },
* ],
diff --git a/clients/client-sagemaker/src/commands/UpdateDomainCommand.ts b/clients/client-sagemaker/src/commands/UpdateDomainCommand.ts
index fd57f3441148..163934b332ba 100644
--- a/clients/client-sagemaker/src/commands/UpdateDomainCommand.ts
+++ b/clients/client-sagemaker/src/commands/UpdateDomainCommand.ts
@@ -235,7 +235,7 @@ export interface UpdateDomainCommandOutput extends UpdateDomainResponse, __Metad
* ],
* StudioWebPortalSettings: { // StudioWebPortalSettings
* HiddenMlTools: [ // HiddenMlToolsList
- * "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "HyperPodClusters" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler",
+ * "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization" || "PerformanceEvaluation" || "LakeraGuard" || "Comet" || "DeepchecksLLMEvaluation" || "Fiddler" || "HyperPodClusters",
* ],
* HiddenAppTypes: [ // HiddenAppTypesList
* "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas",
diff --git a/clients/client-sagemaker/src/commands/UpdateImageCommand.ts b/clients/client-sagemaker/src/commands/UpdateImageCommand.ts
index 4879d6079a26..982525506ffe 100644
--- a/clients/client-sagemaker/src/commands/UpdateImageCommand.ts
+++ b/clients/client-sagemaker/src/commands/UpdateImageCommand.ts
@@ -28,7 +28,7 @@ export interface UpdateImageCommandInput extends UpdateImageRequest {}
export interface UpdateImageCommandOutput extends UpdateImageResponse, __MetadataBearer {}
/**
- *
Updates the properties of a SageMaker image. To change the image's tags, use the + *
Updates the properties of a SageMaker AI image. To change the image's tags, use the * AddTags and DeleteTags APIs.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/UpdateImageVersionCommand.ts b/clients/client-sagemaker/src/commands/UpdateImageVersionCommand.ts index c346de4c9852..b50fc8a5178e 100644 --- a/clients/client-sagemaker/src/commands/UpdateImageVersionCommand.ts +++ b/clients/client-sagemaker/src/commands/UpdateImageVersionCommand.ts @@ -28,7 +28,7 @@ export interface UpdateImageVersionCommandInput extends UpdateImageVersionReques export interface UpdateImageVersionCommandOutput extends UpdateImageVersionResponse, __MetadataBearer {} /** - *Updates the properties of a SageMaker image version.
+ *Updates the properties of a SageMaker AI image version.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/UpdateModelPackageCommand.ts b/clients/client-sagemaker/src/commands/UpdateModelPackageCommand.ts index 56183435f2fc..0c6a147ddabc 100644 --- a/clients/client-sagemaker/src/commands/UpdateModelPackageCommand.ts +++ b/clients/client-sagemaker/src/commands/UpdateModelPackageCommand.ts @@ -91,7 +91,7 @@ export interface UpdateModelPackageCommandOutput extends UpdateModelPackageOutpu * }, * ], * SupportedTransformInstanceTypes: [ // TransformInstanceTypes - * "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * ], * SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", @@ -143,7 +143,7 @@ export interface UpdateModelPackageCommandOutput extends UpdateModelPackageOutpu * }, * ], * SupportedTransformInstanceTypes: [ - * "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", + * "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge", * ], * SupportedRealtimeInferenceInstanceTypes: [ * "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", diff --git a/clients/client-sagemaker/src/commands/UpdateSpaceCommand.ts b/clients/client-sagemaker/src/commands/UpdateSpaceCommand.ts index 837349ea971b..c766ad6b2481 100644 --- a/clients/client-sagemaker/src/commands/UpdateSpaceCommand.ts +++ b/clients/client-sagemaker/src/commands/UpdateSpaceCommand.ts @@ -29,6 +29,9 @@ export interface UpdateSpaceCommandOutput extends UpdateSpaceResponse, __Metadat /** *Updates the settings of a space.
+ *You can't edit the app type of a space in the SpaceSettings.
Specifies the training algorithm to use in a CreateTrainingJob request.
+ *SageMaker uses its own SageMaker account credentials to pull and access built-in algorithms + * so built-in algorithms are universally accessible across all Amazon Web Services accounts. As a + * result, built-in algorithms have standard, unrestricted access. You cannot restrict + * built-in algorithms using IAM roles. Use custom algorithms if you require specific + * access controls.
+ *For more information about algorithms provided by SageMaker, see Algorithms. For * information about using your own algorithms, see Using Your Own Algorithms with * Amazon SageMaker.
@@ -4461,13 +4470,13 @@ export const AppInstanceType = { export type AppInstanceType = (typeof AppInstanceType)[keyof typeof AppInstanceType]; /** - *Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ export interface ResourceSpec { /** - *The ARN of the SageMaker image that the image version belongs to.
+ *The ARN of the SageMaker AI image that the image version belongs to.
* @public */ SageMakerImageArn?: string | undefined; @@ -4523,7 +4532,7 @@ export const AppStatus = { export type AppStatus = (typeof AppStatus)[keyof typeof AppStatus]; /** - *Details about an Amazon SageMaker app.
+ *Details about an Amazon SageMaker AI app.
* @public */ export interface AppDetails { @@ -4570,7 +4579,7 @@ export interface AppDetails { CreationTime?: Date | undefined; /** - *Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ @@ -4602,7 +4611,7 @@ export interface ContainerConfig { } /** - *The Amazon Elastic File System storage configuration for a SageMaker image.
+ *The Amazon Elastic File System storage configuration for a SageMaker AI image.
* @public */ export interface FileSystemConfig { @@ -4633,7 +4642,7 @@ export interface FileSystemConfig { */ export interface CodeEditorAppImageConfig { /** - *The Amazon Elastic File System storage configuration for a SageMaker image.
+ *The Amazon Elastic File System storage configuration for a SageMaker AI image.
* @public */ FileSystemConfig?: FileSystemConfig | undefined; @@ -4646,12 +4655,12 @@ export interface CodeEditorAppImageConfig { } /** - *The configuration for the file system and kernels in a SageMaker image running as a JupyterLab app. The FileSystemConfig object is not supported.
The configuration for the file system and kernels in a SageMaker AI image running as a JupyterLab app. The FileSystemConfig object is not supported.
The Amazon Elastic File System storage configuration for a SageMaker image.
+ *The Amazon Elastic File System storage configuration for a SageMaker AI image.
* @public */ FileSystemConfig?: FileSystemConfig | undefined; @@ -4682,7 +4691,7 @@ export interface KernelSpec { } /** - *The configuration for the file system and kernels in a SageMaker image running as a + *
The configuration for the file system and kernels in a SageMaker AI image running as a * KernelGateway app.
* @public */ @@ -4694,14 +4703,14 @@ export interface KernelGatewayImageConfig { KernelSpecs: KernelSpec[] | undefined; /** - *The Amazon Elastic File System storage configuration for a SageMaker image.
+ *The Amazon Elastic File System storage configuration for a SageMaker AI image.
* @public */ FileSystemConfig?: FileSystemConfig | undefined; } /** - *The configuration for running a SageMaker image as a KernelGateway app.
+ *The configuration for running a SageMaker AI image as a KernelGateway app.
* @public */ export interface AppImageConfigDetails { @@ -4730,7 +4739,7 @@ export interface AppImageConfigDetails { LastModifiedTime?: Date | undefined; /** - *The configuration for the file system and kernels in the SageMaker image.
+ *The configuration for the file system and kernels in the SageMaker AI image.
* @public */ KernelGatewayImageConfig?: KernelGatewayImageConfig | undefined; @@ -5995,7 +6004,7 @@ export interface AutoMLS3DataSource { *If you choose S3Prefix, S3Uri identifies a key name
- * prefix. SageMaker uses all objects that match the specified key name prefix
+ * prefix. SageMaker AI uses all objects that match the specified key name prefix
* for model training.
The S3Prefix should have the following format:
@@ -6004,7 +6013,7 @@ export interface AutoMLS3DataSource { *
If you choose ManifestFile, S3Uri identifies an object
- * that is a manifest file containing a list of object keys that you want SageMaker to use for model training.
A ManifestFile should have the format shown below:
* Configuration specifying how to treat different headers. If no headers are specified
- * Amazon SageMaker will by default base64 encode when capturing the data.[ \{"prefix":
@@ -8679,19 +8688,19 @@ export interface CanvasAppSettings {
/**
*
The list of all content type headers that Amazon SageMaker will treat as CSV and + *
The list of all content type headers that Amazon SageMaker AI will treat as CSV and * capture accordingly.
* @public */ CsvContentTypes?: string[] | undefined; /** - *The list of all content type headers that SageMaker will treat as JSON and + *
The list of all content type headers that SageMaker AI will treat as JSON and * capture accordingly.
* @public */ @@ -9388,6 +9397,15 @@ export const ClusterInstanceType = { ML_C5_9XLARGE: "ml.c5.9xlarge", ML_C5_LARGE: "ml.c5.large", ML_C5_XLARGE: "ml.c5.xlarge", + ML_C6I_12XLARGE: "ml.c6i.12xlarge", + ML_C6I_16XLARGE: "ml.c6i.16xlarge", + ML_C6I_24XLARGE: "ml.c6i.24xlarge", + ML_C6I_2XLARGE: "ml.c6i.2xlarge", + ML_C6I_32XLARGE: "ml.c6i.32xlarge", + ML_C6I_4XLARGE: "ml.c6i.4xlarge", + ML_C6I_8XLARGE: "ml.c6i.8xlarge", + ML_C6I_LARGE: "ml.c6i.large", + ML_C6I_XLARGE: "ml.c6i.xlarge", ML_G5_12XLARGE: "ml.g5.12xlarge", ML_G5_16XLARGE: "ml.g5.16xlarge", ML_G5_24XLARGE: "ml.g5.24xlarge", @@ -9422,11 +9440,29 @@ export const ClusterInstanceType = { ML_M5_8XLARGE: "ml.m5.8xlarge", ML_M5_LARGE: "ml.m5.large", ML_M5_XLARGE: "ml.m5.xlarge", + ML_M6I_12XLARGE: "ml.m6i.12xlarge", + ML_M6I_16XLARGE: "ml.m6i.16xlarge", + ML_M6I_24XLARGE: "ml.m6i.24xlarge", + ML_M6I_2XLARGE: "ml.m6i.2xlarge", + ML_M6I_32XLARGE: "ml.m6i.32xlarge", + ML_M6I_4XLARGE: "ml.m6i.4xlarge", + ML_M6I_8XLARGE: "ml.m6i.8xlarge", + ML_M6I_LARGE: "ml.m6i.large", + ML_M6I_XLARGE: "ml.m6i.xlarge", ML_P4DE_24XLARGE: "ml.p4de.24xlarge", ML_P4D_24XLARGE: "ml.p4d.24xlarge", ML_P5EN_48XLARGE: "ml.p5en.48xlarge", ML_P5E_48XLARGE: "ml.p5e.48xlarge", ML_P5_48XLARGE: "ml.p5.48xlarge", + ML_R6I_12XLARGE: "ml.r6i.12xlarge", + ML_R6I_16XLARGE: "ml.r6i.16xlarge", + ML_R6I_24XLARGE: "ml.r6i.24xlarge", + ML_R6I_2XLARGE: "ml.r6i.2xlarge", + ML_R6I_32XLARGE: "ml.r6i.32xlarge", + ML_R6I_4XLARGE: "ml.r6i.4xlarge", + ML_R6I_8XLARGE: "ml.r6i.8xlarge", + ML_R6I_LARGE: "ml.r6i.large", + ML_R6I_XLARGE: "ml.r6i.xlarge", ML_T3_2XLARGE: "ml.t3.2xlarge", ML_T3_LARGE: "ml.t3.large", ML_T3_MEDIUM: "ml.t3.medium", @@ -10081,8 +10117,8 @@ export interface ClusterSummary { } /** - *A custom SageMaker image. For more information, see - * Bring your own SageMaker image.
+ *A custom SageMaker AI image. For more information, see + * Bring your own SageMaker AI image.
* @public */ export interface CustomImage { @@ -10113,7 +10149,7 @@ export interface CustomImage { */ export interface CodeEditorAppSettings { /** - *Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ @@ -10148,7 +10184,7 @@ export interface CodeEditorAppSettings { } /** - *A Git repository that SageMaker automatically displays to users for cloning in the + *
A Git repository that SageMaker AI automatically displays to users for cloning in the * JupyterServer application.
* @public */ diff --git a/clients/client-sagemaker/src/models/models_1.ts b/clients/client-sagemaker/src/models/models_1.ts index c3507260e2a5..2972ac11e29e 100644 --- a/clients/client-sagemaker/src/models/models_1.ts +++ b/clients/client-sagemaker/src/models/models_1.ts @@ -576,7 +576,7 @@ export interface CreateAppRequest { Tags?: Tag[] | undefined; /** - *The instance type and the Amazon Resource Name (ARN) of the SageMaker image + *
The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image * created on the instance.
*The value of InstanceType passed as part of the ResourceSpec
@@ -1691,7 +1691,7 @@ export interface TargetPlatform {
*/
export interface OutputConfig {
/**
- *
Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For + *
Identifies the S3 bucket where you want Amazon SageMaker AI to store the model artifacts. For
* example, s3://bucket-name/key-name-prefix.
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker + *
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker AI * uses to encrypt your output models with Amazon S3 server-side encryption after compilation - * job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your + * job. If you don't provide a KMS key ID, Amazon SageMaker AI uses the default KMS key for Amazon S3 for your * role's account. For more information, see KMS-Managed Encryption * Keys in the Amazon Simple Storage Service Developer * Guide. @@ -1941,7 +1941,7 @@ export interface OutputConfig { /** *
The VpcConfig configuration object that specifies the VPC that you want the * compilation jobs to connect to. For more information on controlling access to your Amazon S3 - * buckets used for compilation job, see Give Amazon SageMaker Compilation Jobs Access to + * buckets used for compilation job, see Give Amazon SageMaker AI Compilation Jobs Access to * Resources in Your Amazon VPC.
* @public */ @@ -1972,9 +1972,9 @@ export interface CreateCompilationJobRequest { CompilationJobName: string | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on + *
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on * your behalf.
- *During model compilation, Amazon SageMaker needs your permission to:
+ *During model compilation, Amazon SageMaker AI needs your permission to:
*Read input data from an S3 bucket
@@ -1990,8 +1990,8 @@ export interface CreateCompilationJobRequest { *You grant permissions for all of these tasks to an IAM role. To pass this role to
- * Amazon SageMaker, the caller of this API must have the iam:PassRole permission. For
- * more information, see Amazon SageMaker
+ * Amazon SageMaker AI, the caller of this API must have the iam:PassRole permission. For
+ * more information, see Amazon SageMaker AI
* Roles.
*
Specifies a limit to how long a model compilation job can run. When the job reaches - * the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training + * the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training * costs.
* @public */ @@ -2051,7 +2051,7 @@ export interface CreateCompilationJobRequest { */ export interface CreateCompilationJobResponse { /** - *If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker returns + *
If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker AI returns * the following data in JSON format:
*A URI that identifies the Amazon S3 storage location where Amazon SageMaker + *
A URI that identifies the Amazon S3 storage location where Amazon SageMaker AI * saves the results of a monitoring job.
* @public */ S3Uri: string | undefined; /** - *The local path to the Amazon S3 storage location where Amazon SageMaker + *
The local path to the Amazon S3 storage location where Amazon SageMaker AI * saves the results of a monitoring job. LocalPath is an absolute path for the output * data.
* @public @@ -2449,7 +2449,7 @@ export interface MonitoringOutputConfig { MonitoringOutputs: MonitoringOutput[] | undefined; /** - *The Key Management Service (KMS) key that Amazon SageMaker uses to + *
The Key Management Service (KMS) key that Amazon SageMaker AI uses to * encrypt the model artifacts at rest using Amazon S3 server-side encryption.
* @public */ @@ -2554,7 +2554,7 @@ export interface MonitoringClusterConfig { VolumeSizeInGB: number | undefined; /** - *The Key Management Service (KMS) key that Amazon SageMaker uses to + *
The Key Management Service (KMS) key that Amazon SageMaker AI uses to * encrypt data on the storage volume attached to the ML compute instance(s) that run the * model monitoring job.
* @public @@ -2670,7 +2670,7 @@ export interface CreateDataQualityJobDefinitionRequest { NetworkConfig?: MonitoringNetworkConfig | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can + *
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can * assume to perform tasks on your behalf.
* @public */ @@ -2827,7 +2827,7 @@ export interface CreateDeviceFleetRequest { /** *The settings for assigning a custom Amazon EFS file system to a user profile or - * space for an Amazon SageMaker Domain.
+ * space for an Amazon SageMaker AI Domain. * @public */ export interface EFSFileSystemConfig { @@ -2838,7 +2838,7 @@ export interface EFSFileSystemConfig { FileSystemId: string | undefined; /** - *The path to the file system directory that is accessible in Amazon SageMaker Studio. + *
The path to the file system directory that is accessible in Amazon SageMaker AI Studio. * Permitted users can access only this directory and below.
* @public */ @@ -2866,7 +2866,7 @@ export interface FSxLustreFileSystemConfig { } /** - *The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker + *
The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI * Studio.
* @public */ @@ -2977,7 +2977,7 @@ export interface EmrSettings { */ export interface JupyterLabAppSettings { /** - *Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ @@ -3030,7 +3030,7 @@ export interface JupyterLabAppSettings { */ export interface JupyterServerAppSettings { /** - *The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app. If you use the + *
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the
* LifecycleConfigArns parameter, then this parameter is also required.
A list of Git repositories that SageMaker automatically displays to users for + *
A list of Git repositories that SageMaker AI automatically displays to users for * cloning in the JupyterServer application.
* @public */ @@ -3062,9 +3062,9 @@ export interface JupyterServerAppSettings { */ export interface KernelGatewayAppSettings { /** - *The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.
+ *The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.
*The Amazon SageMaker Studio UI does not use the default instance type value set + *
The Amazon SageMaker AI Studio UI does not use the default instance type value set * here. The default instance type set here is used when Apps are created using the CLI or CloudFormation and the instance type parameter value is not * passed.
*A list of custom SageMaker images that are configured to run as a KernelGateway + *
A list of custom SageMaker AI images that are configured to run as a KernelGateway * app.
* @public */ @@ -3173,7 +3173,7 @@ export interface DefaultSpaceSettings { /** *The settings for assigning a custom file system to a domain. Permitted users can access - * this file system in Amazon SageMaker Studio.
+ * this file system in Amazon SageMaker AI Studio. * @public */ CustomFileSystemConfigs?: CustomFileSystemConfig[] | undefined; @@ -3185,14 +3185,14 @@ export interface DefaultSpaceSettings { */ export interface RSessionAppSettings { /** - *Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ DefaultResourceSpec?: ResourceSpec | undefined; /** - *A list of custom SageMaker images that are configured to run as a RSession + *
A list of custom SageMaker AI images that are configured to run as a RSession * app.
* @public */ @@ -3265,7 +3265,7 @@ export const NotebookOutputOption = { export type NotebookOutputOption = (typeof NotebookOutputOption)[keyof typeof NotebookOutputOption]; /** - *Specifies options for sharing Amazon SageMaker Studio notebooks. These settings are + *
Specifies options for sharing Amazon SageMaker AI Studio notebooks. These settings are
* specified as part of DefaultUserSettings when the CreateDomain API
* is called, and as part of UserSettings when the CreateUserProfile
* API is called. When SharingSettings is not specified, notebook sharing isn't
@@ -3412,7 +3412,7 @@ export interface StudioWebPortalSettings {
*/
export interface TensorBoardAppSettings {
/**
- *
The default instance type and the Amazon Resource Name (ARN) of the SageMaker + *
The default instance type and the Amazon Resource Name (ARN) of the SageMaker AI * image created on the instance.
* @public */ @@ -3445,7 +3445,7 @@ export interface UserSettings { *Required when the CreateDomain.AppNetworkAccessType parameter is set to
* VpcOnly, unless specified as part of the DefaultUserSettings for
* the domain.
Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the + *
Amazon SageMaker AI adds a security group to allow NFS traffic from Amazon SageMaker AI Studio. Therefore, the number of security groups that you can specify is one less than the * maximum number shown.
*SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
* @public @@ -3453,7 +3453,7 @@ export interface UserSettings { SecurityGroups?: string[] | undefined; /** - *Specifies options for sharing Amazon SageMaker Studio notebooks.
+ *Specifies options for sharing Amazon SageMaker AI Studio notebooks.
* @public */ SharingSettings?: SharingSettings | undefined; @@ -3553,7 +3553,7 @@ export interface UserSettings { /** *The settings for assigning a custom file system to a user profile. Permitted users can - * access this file system in Amazon SageMaker Studio.
+ * access this file system in Amazon SageMaker AI Studio. *SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
* @public */ @@ -3636,7 +3636,7 @@ export interface RStudioServerProDomainSettings { RStudioPackageManagerUrl?: string | undefined; /** - *Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ @@ -3664,7 +3664,7 @@ export interface DomainSettings { RStudioServerProDomainSettings?: RStudioServerProDomainSettings | undefined; /** - *The configuration for attaching a SageMaker user profile name to the execution + *
The configuration for attaching a SageMaker AI user profile name to the execution * role as a sts:SourceIdentity key.
* @public */ @@ -3759,7 +3759,7 @@ export interface CreateDomainRequest { *
- * PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet access
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access
* @@ -3779,7 +3779,7 @@ export interface CreateDomainRequest { HomeEfsFileSystemKmsKeyId?: string | undefined; /** - *
SageMaker uses Amazon Web Services KMS to encrypt EFS and EBS volumes attached to + *
SageMaker AI uses Amazon Web Services KMS to encrypt EFS and EBS volumes attached to * the domain with an Amazon Web Services managed key by default. For more control, specify a * customer managed key.
* @public @@ -4174,7 +4174,7 @@ export interface CreateEndpointOutput { } /** - *Configuration to control how SageMaker captures inference data.
+ *Configuration to control how SageMaker AI captures inference data.
* @public */ export interface DataCaptureConfig { @@ -4185,7 +4185,7 @@ export interface DataCaptureConfig { EnableCapture?: boolean | undefined; /** - *The percentage of requests SageMaker will capture. A lower value is recommended + *
The percentage of requests SageMaker AI will capture. A lower value is recommended * for Endpoints with high traffic.
* @public */ @@ -4198,7 +4198,7 @@ export interface DataCaptureConfig { DestinationS3Uri: string | undefined; /** - *The Amazon Resource Name (ARN) of an Key Management Service key that SageMaker + *
The Amazon Resource Name (ARN) of an Key Management Service key that SageMaker AI * uses to encrypt the captured data at rest using Amazon S3 server-side * encryption.
*The KmsKeyId can be any of the following formats:
@@ -4235,7 +4235,7 @@ export interface DataCaptureConfig { /** *Configuration specifying how to treat different headers. If no headers are specified - * SageMaker will by default base64 encode when capturing the data.
+ * SageMaker AI will by default base64 encode when capturing the data. * @public */ CaptureContentTypeHeader?: CaptureContentTypeHeader | undefined; @@ -4624,7 +4624,7 @@ export interface CreateEndpointConfigInput { ProductionVariants: ProductionVariant[] | undefined; /** - *Configuration to control how SageMaker captures inference data.
+ *Configuration to control how SageMaker AI captures inference data.
* @public */ DataCaptureConfig?: DataCaptureConfig | undefined; @@ -4708,10 +4708,10 @@ export interface CreateEndpointConfigInput { ShadowProductionVariants?: ProductionVariant[] | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform actions on your behalf. For more information, see SageMaker
+ * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform actions on your behalf. For more information, see SageMaker AI
* Roles. To be able to pass this role to Amazon SageMaker, the caller of this action must
+ * To be able to pass this role to Amazon SageMaker AI, the caller of this action must
* have the The ARN of an IAM role that enables Amazon SageMaker to perform tasks on your behalf. The ARN of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf. Indicates SageMaker job type compatibility. Indicates SageMaker AI job type compatibility.
- * iam:PassRole permission.
*
TRAINING: The image version is compatible with SageMaker training jobs.TRAINING: The image version is compatible with SageMaker AI training jobs.
- * INFERENCE: The image version is compatible with SageMaker inference jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
*
- * NOTEBOOK_KERNEL: The image version is compatible with SageMaker notebook kernels.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
* The name of an existing SageMaker model object in your account that you want to + *
The name of an existing SageMaker AI model object in your account that you want to * deploy with the inference component.
* @public */ @@ -7841,7 +7841,7 @@ export interface InferenceExperimentDataStorageConfig { /** *Configuration specifying how to treat different headers. If no headers are specified - * Amazon SageMaker will by default base64 encode when capturing the data.
+ * Amazon SageMaker AI will by default base64 encode when capturing the data. * @public */ ContentType?: CaptureContentTypeHeader | undefined; @@ -11463,7 +11463,7 @@ export interface CreateModelBiasJobDefinitionRequest { NetworkConfig?: MonitoringNetworkConfig | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can + *
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can * assume to perform tasks on your behalf.
* @public */ @@ -11753,7 +11753,7 @@ export interface CreateModelExplainabilityJobDefinitionRequest { NetworkConfig?: MonitoringNetworkConfig | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can + *
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can * assume to perform tasks on your behalf.
* @public */ @@ -12605,7 +12605,7 @@ export interface CreateModelQualityJobDefinitionRequest { NetworkConfig?: MonitoringNetworkConfig | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can + *
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can * assume to perform tasks on your behalf.
* @public */ @@ -12767,7 +12767,7 @@ export interface MonitoringJobDefinition { BaselineConfig?: MonitoringBaselineConfig | undefined; /** - *The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.
+ *The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.
* @public */ MonitoringInputs: MonitoringInput[] | undefined; @@ -12810,7 +12810,7 @@ export interface MonitoringJobDefinition { NetworkConfig?: NetworkConfig | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can + *
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can * assume to perform tasks on your behalf.
* @public */ @@ -12897,7 +12897,7 @@ export interface ScheduleConfig { *We recommend that if you would like a daily schedule, you do not provide this - * parameter. Amazon SageMaker will pick a time for running every day.
+ * parameter. Amazon SageMaker AI will pick a time for running every day. *When you send any requests to Amazon Web Services resources from the notebook - * instance, SageMaker assumes this role to perform tasks on your behalf. You must - * grant this role necessary permissions so SageMaker can perform these tasks. The - * policy must allow the SageMaker service principal (sagemaker.amazonaws.com) - * permissions to assume this role. For more information, see SageMaker Roles.
+ * instance, SageMaker AI assumes this role to perform tasks on your behalf. You must + * grant this role necessary permissions so SageMaker AI can perform these tasks. The + * policy must allow the SageMaker AI service principal (sagemaker.amazonaws.com) + * permissions to assume this role. For more information, see SageMaker AI Roles. *To be able to pass this role to SageMaker, the caller of this API must + *
To be able to pass this role to SageMaker AI, the caller of this API must
* have the iam:PassRole permission.
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that - * SageMaker uses to encrypt data on the storage volume attached to your + * SageMaker AI uses to encrypt data on the storage volume attached to your * notebook instance. The KMS key you provide must be enabled. For information, see Enabling and * Disabling Keys in the Amazon Web Services Key Management Service * Developer Guide.
@@ -259,9 +259,9 @@ export interface CreateNotebookInstanceInput { LifecycleConfigName?: string | undefined; /** - *Sets whether SageMaker provides internet access to the notebook instance. If + *
Sets whether SageMaker AI provides internet access to the notebook instance. If
* you set this to Disabled this notebook instance is able to access resources
- * only in your VPC, and is not be able to connect to SageMaker training and
+ * only in your VPC, and is not be able to connect to SageMaker AI training and
* endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value
* of this parameter to Disabled only if you set a value for the
@@ -292,7 +292,7 @@ export interface CreateNotebookInstanceInput {
* account, or the URL of a Git repository in Amazon Web Services CodeCommit
* or in any other Git repository. When you open a notebook instance, it opens in the
* directory that contains this repository. For more information, see Associating Git
- * Repositories with SageMaker Notebook Instances.
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- *During model optimization, Amazon SageMaker needs your permission to:
+ *The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
+ *During model optimization, Amazon SageMaker AI needs your permission to:
*Read input data from an S3 bucket
@@ -688,8 +688,8 @@ export interface CreateOptimizationJobRequest { *You grant permissions for all of these tasks to an IAM role. To pass this
- * role to Amazon SageMaker, the caller of this API must have the
- * iam:PassRole permission. For more information, see Amazon SageMaker Roles.
+ * role to Amazon SageMaker AI, the caller of this API must have the
+ * iam:PassRole permission. For more information, see Amazon SageMaker AI Roles.
*
Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ @@ -1987,8 +1987,8 @@ export interface SpaceCodeEditorAppSettings { /** *A file system, created by you in Amazon EFS, that you assign to a user profile or - * space for an Amazon SageMaker Domain. Permitted users can access this file system in - * Amazon SageMaker Studio.
+ * space for an Amazon SageMaker AI Domain. Permitted users can access this file system in + * Amazon SageMaker AI Studio. * @public */ export interface EFSFileSystem { @@ -2012,7 +2012,7 @@ export interface FSxLustreFileSystem { } /** - *A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker + *
A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI * Studio.
* @public */ @@ -2073,7 +2073,7 @@ export namespace CustomFileSystem { */ export interface SpaceJupyterLabAppSettings { /** - *Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ @@ -2148,6 +2148,9 @@ export interface SpaceSettings { /** *The type of app created within the space.
+ *If using the + * UpdateSpace API, you can't change the app type of your + * space by specifying a different value for this field.
* @public */ AppType?: AppType | undefined; @@ -2159,8 +2162,8 @@ export interface SpaceSettings { SpaceStorageSettings?: SpaceStorageSettings | undefined; /** - *A file system, created by you, that you assign to a space for an Amazon SageMaker - * Domain. Permitted users can access this file system in Amazon SageMaker Studio.
+ *A file system, created by you, that you assign to a space for an Amazon SageMaker AI + * Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
* @public */ CustomFileSystems?: CustomFileSystem[] | undefined; @@ -2274,13 +2277,13 @@ export type StudioLifecycleConfigAppType = */ export interface CreateStudioLifecycleConfigRequest { /** - *The name of the Amazon SageMaker Studio Lifecycle Configuration to create.
+ *The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.
* @public */ StudioLifecycleConfigName: string | undefined; /** - *The content of your Amazon SageMaker Studio Lifecycle Configuration script. This + *
The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This * content must be base64 encoded.
* @public */ @@ -4656,7 +4659,7 @@ export interface DeleteMonitoringScheduleRequest { */ export interface DeleteNotebookInstanceInput { /** - *The name of the SageMaker notebook instance to delete.
+ *The name of the SageMaker AI notebook instance to delete.
* @public */ NotebookInstanceName: string | undefined; @@ -4774,7 +4777,7 @@ export interface DeleteSpaceRequest { */ export interface DeleteStudioLifecycleConfigRequest { /** - *The name of the Amazon SageMaker Studio Lifecycle Configuration to delete.
+ *The name of the Amazon SageMaker AI Studio Lifecycle Configuration to delete.
* @public */ StudioLifecycleConfigName: string | undefined; @@ -5392,7 +5395,7 @@ export interface DescribeAppResponse { /** *The timestamp of the last user's activity. LastUserActivityTimestamp is also
- * updated when SageMaker performs health checks without user activity. As a result, this
+ * updated when SageMaker AI performs health checks without user activity. As a result, this
* value is set to the same value as LastHealthCheckTimestamp.
The creation time of the application.
*After an application has been shut down for 24 hours, SageMaker deletes all + *
After an application has been shut down for 24 hours, SageMaker AI deletes all * metadata for the application. To be considered an update and retain application metadata, * applications must be restarted within 24 hours after the previous application has been shut * down. After this time window, creation of an application is considered a new application @@ -5418,7 +5421,7 @@ export interface DescribeAppResponse { FailureReason?: string | undefined; /** - *
The instance type and the Amazon Resource Name (ARN) of the SageMaker image + *
The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image * created on the instance.
* @public */ @@ -5708,7 +5711,7 @@ export interface DescribeAutoMLJobResponse { PartialFailureReasons?: AutoMLPartialFailureReason[] | undefined; /** - *The best model candidate selected by SageMaker Autopilot using both the best + *
The best model candidate selected by SageMaker AI Autopilot using both the best * objective metric and lowest InferenceLatency for * an experiment.
* @public @@ -6254,14 +6257,14 @@ export interface DescribeCompilationJobResponse { /** *The time when the model compilation job on a compilation job instance ended. For a * successful or stopped job, this is when the job's model artifacts have finished - * uploading. For a failed job, this is when Amazon SageMaker detected that the job failed.
+ * uploading. For a failed job, this is when Amazon SageMaker AI detected that the job failed. * @public */ CompilationEndTime?: Date | undefined; /** *Specifies a limit to how long a model compilation job can run. When the job reaches - * the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training + * the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training * costs.
* @public */ @@ -6316,7 +6319,7 @@ export interface DescribeCompilationJobResponse { ModelDigests?: ModelDigests | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model + *
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI assumes to perform the model * compilation job.
* @public */ @@ -6624,7 +6627,7 @@ export interface DescribeDataQualityJobDefinitionResponse { NetworkConfig?: MonitoringNetworkConfig | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can + *
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can * assume to perform tasks on your behalf.
* @public */ @@ -6890,7 +6893,7 @@ export interface DescribeDomainResponse { SingleSignOnManagedApplicationInstanceId?: string | undefined; /** - *The ARN of the application managed by SageMaker in IAM Identity Center. This value + *
The ARN of the application managed by SageMaker AI in IAM Identity Center. This value * is only returned for domains created after October 1, 2023.
* @public */ @@ -6952,7 +6955,7 @@ export interface DescribeDomainResponse { *
- * PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet access
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access
* @@ -7782,7 +7785,7 @@ export interface DescribeEndpointConfigOutput { ProductionVariants: ProductionVariant[] | undefined; /** - *
Configuration to control how SageMaker captures inference data.
+ *Configuration to control how SageMaker AI captures inference data.
* @public */ DataCaptureConfig?: DataCaptureConfig | undefined; diff --git a/clients/client-sagemaker/src/models/models_3.ts b/clients/client-sagemaker/src/models/models_3.ts index 376a995f6db7..18c722c6da32 100644 --- a/clients/client-sagemaker/src/models/models_3.ts +++ b/clients/client-sagemaker/src/models/models_3.ts @@ -767,7 +767,7 @@ export interface DescribeImageResponse { LastModifiedTime?: Date | undefined; /** - *The ARN of the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
+ *The ARN of the IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
* @public */ RoleArn?: string | undefined; @@ -896,19 +896,19 @@ export interface DescribeImageVersionResponse { VendorGuidance?: VendorGuidance | undefined; /** - *Indicates SageMaker job type compatibility.
+ *Indicates SageMaker AI job type compatibility.
*
- * TRAINING: The image version is compatible with SageMaker training jobs.
TRAINING: The image version is compatible with SageMaker AI training jobs.
*
- * INFERENCE: The image version is compatible with SageMaker inference jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
*
- * NOTEBOOK_KERNEL: The image version is compatible with SageMaker notebook kernels.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
* The name of the SageMaker model object that is deployed with the inference + *
The name of the SageMaker AI model object that is deployed with the inference * component.
* @public */ @@ -3221,7 +3221,7 @@ export interface DescribeModelQualityJobDefinitionResponse { NetworkConfig?: MonitoringNetworkConfig | undefined; /** - *The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can + *
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can * assume to perform tasks on your behalf.
* @public */ @@ -3476,7 +3476,7 @@ export interface DescribeNotebookInstanceOutput { NotebookInstanceArn?: string | undefined; /** - *The name of the SageMaker notebook instance.
+ *The name of the SageMaker AI notebook instance.
* @public */ NotebookInstanceName?: string | undefined; @@ -3526,14 +3526,14 @@ export interface DescribeNotebookInstanceOutput { RoleArn?: string | undefined; /** - *The Amazon Web Services KMS key ID SageMaker uses to encrypt data when + *
The Amazon Web Services KMS key ID SageMaker AI uses to encrypt data when * storing it on the ML storage volume attached to the instance.
* @public */ KmsKeyId?: string | undefined; /** - *The network interface IDs that SageMaker created at the time of creating + *
The network interface IDs that SageMaker AI created at the time of creating * the instance.
* @public */ @@ -3563,9 +3563,9 @@ export interface DescribeNotebookInstanceOutput { NotebookInstanceLifecycleConfigName?: string | undefined; /** - *Describes whether SageMaker provides internet access to the notebook instance. + *
Describes whether SageMaker AI provides internet access to the notebook instance. * If this value is set to Disabled, the notebook instance does not - * have internet access, and cannot connect to SageMaker training and endpoint + * have internet access, and cannot connect to SageMaker AI training and endpoint * services.
*For more information, see Notebook Instances Are Internet-Enabled by Default.
* @public @@ -3593,7 +3593,7 @@ export interface DescribeNotebookInstanceOutput { * account, or the URL of a Git repository in Amazon Web Services CodeCommit * or in any other Git repository. When you open a notebook instance, it opens in the * directory that contains this repository. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances. + * Repositories with SageMaker AI Notebook Instances. * @public */ DefaultCodeRepository?: string | undefined; @@ -3604,7 +3604,7 @@ export interface DescribeNotebookInstanceOutput { * URL of Git repositories in Amazon Web Services CodeCommit * or in any other Git repository. These repositories are cloned at the same level as the * default repository of your notebook instance. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances. + * Repositories with SageMaker AI Notebook Instances. * @public */ AdditionalCodeRepositories?: string[] | undefined; @@ -4754,7 +4754,7 @@ export interface DescribeSpaceResponse { */ export interface DescribeStudioLifecycleConfigRequest { /** - *The name of the Amazon SageMaker Studio Lifecycle Configuration to describe.
+ *The name of the Amazon SageMaker AI Studio Lifecycle Configuration to describe.
* @public */ StudioLifecycleConfigName: string | undefined; @@ -4771,27 +4771,27 @@ export interface DescribeStudioLifecycleConfigResponse { StudioLifecycleConfigArn?: string | undefined; /** - *The name of the Amazon SageMaker Studio Lifecycle Configuration that is + *
The name of the Amazon SageMaker AI Studio Lifecycle Configuration that is * described.
* @public */ StudioLifecycleConfigName?: string | undefined; /** - *The creation time of the Amazon SageMaker Studio Lifecycle Configuration.
+ *The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.
* @public */ CreationTime?: Date | undefined; /** - *This value is equivalent to CreationTime because Amazon SageMaker Studio Lifecycle + *
This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle * Configurations are immutable.
* @public */ LastModifiedTime?: Date | undefined; /** - *The content of your Amazon SageMaker Studio Lifecycle Configuration script.
+ *The content of your Amazon SageMaker AI Studio Lifecycle Configuration script.
* @public */ StudioLifecycleConfigContent?: string | undefined; @@ -7318,7 +7318,7 @@ export interface RStudioServerProDomainSettingsForUpdate { DomainExecutionRoleArn: string | undefined; /** - *Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that + *
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that * the version runs on.
* @public */ @@ -7350,7 +7350,7 @@ export interface DomainSettingsForUpdate { RStudioServerProDomainSettingsForUpdate?: RStudioServerProDomainSettingsForUpdate | undefined; /** - *The configuration for attaching a SageMaker user profile name to the execution + *
The configuration for attaching a SageMaker AI user profile name to the execution
* role as a sts:SourceIdentity key. This configuration can only be modified if there are no
* apps in the InService or Pending state.
A SageMaker image. A SageMaker image represents a set of container images that are derived from - * a common base container image. Each of these container images is represented by a SageMaker + *
A SageMaker AI image. A SageMaker AI image represents a set of container images that are derived from
+ * a common base container image. Each of these container images is represented by a SageMaker AI
* ImageVersion.
A version of a SageMaker Image. A version represents an existing container
+ *
A version of a SageMaker AI Image. A version represents an existing container
* image.
A list of SageMaker image version aliases.
+ *A list of SageMaker AI image version aliases.
* @public */ SageMakerImageVersionAliases?: string[] | undefined; @@ -11595,7 +11595,7 @@ export interface ListCompilationJobsResponse { CompilationJobSummaries: CompilationJobSummary[] | undefined; /** - *If the response is truncated, Amazon SageMaker returns this NextToken. To retrieve
+ *
If the response is truncated, Amazon SageMaker AI returns this NextToken. To retrieve
* the next set of model compilation jobs, use this token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the + *
If the response is truncated, Amazon SageMaker AI returns this token. To retrieve the * next set of model quality monitoring job definitions, use it in the next request.
* @public */ @@ -4207,7 +4207,7 @@ export interface NotebookInstanceLifecycleConfigSummary { */ export interface ListNotebookInstanceLifecycleConfigsOutput { /** - *If the response is truncated, SageMaker returns this token. To get the next + *
If the response is truncated, SageMaker AI returns this token. To get the next * set of lifecycle configurations, use it in the next request.
* @public */ @@ -4352,7 +4352,7 @@ export interface ListNotebookInstancesInput { } /** - *Provides summary information for an SageMaker notebook instance.
+ *Provides summary information for an SageMaker AI notebook instance.
* @public */ export interface NotebookInstanceSummary { @@ -4414,7 +4414,7 @@ export interface NotebookInstanceSummary { * account, or the URL of a Git repository in Amazon Web Services CodeCommit * or in any other Git repository. When you open a notebook instance, it opens in the * directory that contains this repository. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances. + * Repositories with SageMaker AI Notebook Instances. * @public */ DefaultCodeRepository?: string | undefined; @@ -4425,7 +4425,7 @@ export interface NotebookInstanceSummary { * URL of Git repositories in Amazon Web Services CodeCommit * or in any other Git repository. These repositories are cloned at the same level as the * default repository of your notebook instance. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances. + * Repositories with SageMaker AI Notebook Instances. * @public */ AdditionalCodeRepositories?: string[] | undefined; @@ -4437,7 +4437,7 @@ export interface NotebookInstanceSummary { export interface ListNotebookInstancesOutput { /** *If the response to the previous ListNotebookInstances request was
- * truncated, SageMaker returns this token. To retrieve the next set of notebook
+ * truncated, SageMaker AI returns this token. To retrieve the next set of notebook
* instances, use the token in the next request.
Details of the Amazon SageMaker Studio Lifecycle Configuration.
+ *Details of the Amazon SageMaker AI Studio Lifecycle Configuration.
* @public */ export interface StudioLifecycleConfigDetails { @@ -6240,19 +6240,19 @@ export interface StudioLifecycleConfigDetails { StudioLifecycleConfigArn?: string | undefined; /** - *The name of the Amazon SageMaker Studio Lifecycle Configuration.
+ *The name of the Amazon SageMaker AI Studio Lifecycle Configuration.
* @public */ StudioLifecycleConfigName?: string | undefined; /** - *The creation time of the Amazon SageMaker Studio Lifecycle Configuration.
+ *The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.
* @public */ CreationTime?: Date | undefined; /** - *This value is equivalent to CreationTime because Amazon SageMaker Studio Lifecycle + *
This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle * Configurations are immutable.
* @public */ diff --git a/clients/client-sagemaker/src/models/models_5.ts b/clients/client-sagemaker/src/models/models_5.ts index 3b268d11d99a..1f6b6d68634b 100644 --- a/clients/client-sagemaker/src/models/models_5.ts +++ b/clients/client-sagemaker/src/models/models_5.ts @@ -531,7 +531,7 @@ export interface UpdateDomainRequest { *
- * PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet access.
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access.
* @@ -927,7 +927,7 @@ export interface UpdateImageRequest { ImageName: string | undefined; /** - *
The new ARN for the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
+ *The new ARN for the IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
* @public */ RoleArn?: string | undefined; @@ -1003,19 +1003,19 @@ export interface UpdateImageVersionRequest { VendorGuidance?: VendorGuidance | undefined; /** - *Indicates SageMaker job type compatibility.
+ *Indicates SageMaker AI job type compatibility.
*
- * TRAINING: The image version is compatible with SageMaker training jobs.
TRAINING: The image version is compatible with SageMaker AI training jobs.
*
- * INFERENCE: The image version is compatible with SageMaker inference jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
*
- * NOTEBOOK_KERNEL: The image version is compatible with SageMaker notebook kernels.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
* The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to - * access the notebook instance. For more information, see SageMaker Roles.
+ *The Amazon Resource Name (ARN) of the IAM role that SageMaker AI can assume to + * access the notebook instance. For more information, see SageMaker AI Roles.
*To be able to pass this role to SageMaker, the caller of this API must + *
To be able to pass this role to SageMaker AI, the caller of this API must
* have the iam:PassRole permission.
The size, in GB, of the ML storage volume to attach to the notebook instance. The - * default value is 5 GB. ML storage volumes are encrypted, so SageMaker can't + * default value is 5 GB. ML storage volumes are encrypted, so SageMaker AI can't * determine the amount of available free space on the volume. Because of this, you can * increase the volume size when you update a notebook instance, but you can't decrease the * volume size. If you want to decrease the size of the ML storage volume in use, create a @@ -1560,7 +1560,7 @@ export interface UpdateNotebookInstanceInput { * account, or the URL of a Git repository in Amazon Web Services CodeCommit * or in any other Git repository. When you open a notebook instance, it opens in the * directory that contains this repository. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances.
+ * Repositories with SageMaker AI Notebook Instances. * @public */ DefaultCodeRepository?: string | undefined; @@ -1571,7 +1571,7 @@ export interface UpdateNotebookInstanceInput { * or the URL of Git repositories in Amazon Web Services CodeCommit * or in any other Git repository. These repositories are cloned at the same level as the * default repository of your notebook instance. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances. + * Repositories with SageMaker AI Notebook Instances. * @public */ AdditionalCodeRepositories?: string[] | undefined; diff --git a/codegen/sdk-codegen/aws-models/sagemaker.json b/codegen/sdk-codegen/aws-models/sagemaker.json index af864a7dfe44..1f4a2a0a41f8 100644 --- a/codegen/sdk-codegen/aws-models/sagemaker.json +++ b/codegen/sdk-codegen/aws-models/sagemaker.json @@ -701,7 +701,7 @@ } }, "traits": { - "smithy.api#documentation": "Specifies the training algorithm to use in a CreateTrainingJob request.
\nFor more information about algorithms provided by SageMaker, see Algorithms. For\n information about using your own algorithms, see Using Your Own Algorithms with\n Amazon SageMaker.
" + "smithy.api#documentation": "Specifies the training algorithm to use in a CreateTrainingJob request.
\nSageMaker uses its own SageMaker account credentials to pull and access built-in algorithms\n so built-in algorithms are universally accessible across all Amazon Web Services accounts. As a\n result, built-in algorithms have standard, unrestricted access. You cannot restrict\n built-in algorithms using IAM roles. Use custom algorithms if you require specific\n access controls.
\nFor more information about algorithms provided by SageMaker, see Algorithms. For\n information about using your own algorithms, see Using Your Own Algorithms with\n Amazon SageMaker.
" } }, "com.amazonaws.sagemaker#AlgorithmStatus": { @@ -1009,7 +1009,7 @@ } }, "traits": { - "smithy.api#documentation": "Details about an Amazon SageMaker app.
" + "smithy.api#documentation": "Details about an Amazon SageMaker AI app.
" } }, "com.amazonaws.sagemaker#AppImageConfigArn": { @@ -1052,7 +1052,7 @@ "KernelGatewayImageConfig": { "target": "com.amazonaws.sagemaker#KernelGatewayImageConfig", "traits": { - "smithy.api#documentation": "The configuration for the file system and kernels in the SageMaker image.
" + "smithy.api#documentation": "The configuration for the file system and kernels in the SageMaker AI image.
" } }, "JupyterLabAppImageConfig": { @@ -1069,7 +1069,7 @@ } }, "traits": { - "smithy.api#documentation": "The configuration for running a SageMaker image as a KernelGateway app.
" + "smithy.api#documentation": "The configuration for running a SageMaker AI image as a KernelGateway app.
" } }, "com.amazonaws.sagemaker#AppImageConfigList": { @@ -4448,7 +4448,7 @@ "target": "com.amazonaws.sagemaker#AutoMLS3DataType", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The data type.
\nIf you choose S3Prefix, S3Uri identifies a key name\n prefix. SageMaker uses all objects that match the specified key name prefix\n for model training.
The S3Prefix should have the following format:
\n s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE\n
If you choose ManifestFile, S3Uri identifies an object\n that is a manifest file containing a list of object keys that you want SageMaker to use for model training.
A ManifestFile should have the format shown below:
\n [ {\"prefix\":\n \"s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/\"}, \n
\n \"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1\",\n
\n \"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2\",\n
\n ... \"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N\" ]\n
If you choose AugmentedManifestFile, S3Uri identifies an\n object that is an augmented manifest file in JSON lines format. This file contains\n the data you want to use for model training. AugmentedManifestFile is\n available for V2 API jobs only (for example, for jobs created by calling\n CreateAutoMLJobV2).
Here is a minimal, single-record example of an\n AugmentedManifestFile:
\n {\"source-ref\":\n \"s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg\",\n
\n \"label-metadata\": {\"class-name\": \"cat\" }
For more information on AugmentedManifestFile, see Provide\n Dataset Metadata to Training Jobs with an Augmented Manifest File.
The data type.
\nIf you choose S3Prefix, S3Uri identifies a key name\n prefix. SageMaker AI uses all objects that match the specified key name prefix\n for model training.
The S3Prefix should have the following format:
\n s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE\n
If you choose ManifestFile, S3Uri identifies an object\n that is a manifest file containing a list of object keys that you want SageMaker AI to use for model training.
A ManifestFile should have the format shown below:
\n [ {\"prefix\":\n \"s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/\"}, \n
\n \"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1\",\n
\n \"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2\",\n
\n ... \"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N\" ]\n
If you choose AugmentedManifestFile, S3Uri identifies an\n object that is an augmented manifest file in JSON lines format. This file contains\n the data you want to use for model training. AugmentedManifestFile is\n available for V2 API jobs only (for example, for jobs created by calling\n CreateAutoMLJobV2).
Here is a minimal, single-record example of an\n AugmentedManifestFile:
\n {\"source-ref\":\n \"s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg\",\n
\n \"label-metadata\": {\"class-name\": \"cat\" }
For more information on AugmentedManifestFile, see Provide\n Dataset Metadata to Training Jobs with an Augmented Manifest File.
The list of all content type headers that Amazon SageMaker will treat as CSV and\n capture accordingly.
" + "smithy.api#documentation": "The list of all content type headers that Amazon SageMaker AI will treat as CSV and\n capture accordingly.
" } }, "JsonContentTypes": { "target": "com.amazonaws.sagemaker#JsonContentTypes", "traits": { - "smithy.api#documentation": "The list of all content type headers that SageMaker will treat as JSON and\n capture accordingly.
" + "smithy.api#documentation": "The list of all content type headers that SageMaker AI will treat as JSON and\n capture accordingly.
" } } }, "traits": { - "smithy.api#documentation": "Configuration specifying how to treat different headers. If no headers are specified\n Amazon SageMaker will by default base64 encode when capturing the data.
" + "smithy.api#documentation": "Configuration specifying how to treat different headers. If no headers are specified\n Amazon SageMaker AI will by default base64 encode when capturing the data.
" } }, "com.amazonaws.sagemaker#CaptureMode": { @@ -6873,7 +6873,8 @@ "type": "integer", "traits": { "smithy.api#range": { - "min": 0 + "min": 0, + "max": 6758 } } }, @@ -7528,6 +7529,168 @@ "traits": { "smithy.api#enumValue": "ml.trn2.48xlarge" } + }, + "ML_C6I_LARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.large" + } + }, + "ML_C6I_XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.xlarge" + } + }, + "ML_C6I_2XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.2xlarge" + } + }, + "ML_C6I_4XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.4xlarge" + } + }, + "ML_C6I_8XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.8xlarge" + } + }, + "ML_C6I_12XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.12xlarge" + } + }, + "ML_C6I_16XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.16xlarge" + } + }, + "ML_C6I_24XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.24xlarge" + } + }, + "ML_C6I_32XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.c6i.32xlarge" + } + }, + "ML_M6I_LARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.large" + } + }, + "ML_M6I_XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.xlarge" + } + }, + "ML_M6I_2XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.2xlarge" + } + }, + "ML_M6I_4XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.4xlarge" + } + }, + "ML_M6I_8XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.8xlarge" + } + }, + "ML_M6I_12XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.12xlarge" + } + }, + "ML_M6I_16XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.16xlarge" + } + }, + "ML_M6I_24XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.24xlarge" + } + }, + "ML_M6I_32XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.m6i.32xlarge" + } + }, + "ML_R6I_LARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.large" + } + }, + "ML_R6I_XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.xlarge" + } + }, + "ML_R6I_2XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.2xlarge" + } + }, + "ML_R6I_4XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.4xlarge" + } + }, + "ML_R6I_8XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.8xlarge" + } + }, + "ML_R6I_12XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.12xlarge" + } + }, + "ML_R6I_16XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.16xlarge" + } + }, + "ML_R6I_24XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.24xlarge" + } + }, + "ML_R6I_32XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.r6i.32xlarge" + } } } }, @@ -8110,7 +8273,7 @@ } }, "traits": { - "smithy.api#documentation": "A Git repository that SageMaker automatically displays to users for cloning in the\n JupyterServer application.
" + "smithy.api#documentation": "A Git repository that SageMaker AI automatically displays to users for cloning in the\n JupyterServer application.
" } }, "com.amazonaws.sagemaker#CodeRepositoryArn": { @@ -9523,7 +9686,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates a running app for the specified UserProfile. This operation is automatically\n invoked by Amazon SageMaker upon access to the associated Domain, and when new kernel\n configurations are selected by the user. A user may have multiple Apps active\n simultaneously.
" + "smithy.api#documentation": "Creates a running app for the specified UserProfile. This operation is automatically\n invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel\n configurations are selected by the user. A user may have multiple Apps active\n simultaneously.
" } }, "com.amazonaws.sagemaker#CreateAppImageConfig": { @@ -9540,7 +9703,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates a configuration for running a SageMaker image as a KernelGateway app. The\n configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the\n kernels in the image.
" + "smithy.api#documentation": "Creates a configuration for running a SageMaker AI image as a KernelGateway app. The\n configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the\n kernels in the image.
" } }, "com.amazonaws.sagemaker#CreateAppImageConfigRequest": { @@ -9645,7 +9808,7 @@ "ResourceSpec": { "target": "com.amazonaws.sagemaker#ResourceSpec", "traits": { - "smithy.api#documentation": "The instance type and the Amazon Resource Name (ARN) of the SageMaker image\n created on the instance.
\nThe value of InstanceType passed as part of the ResourceSpec\n in the CreateApp call overrides the value passed as part of the\n ResourceSpec configured for the user profile or the domain. If\n InstanceType is not specified in any of those three ResourceSpec\n values for a KernelGateway app, the CreateApp call fails with a\n request validation error.
The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image\n created on the instance.
\nThe value of InstanceType passed as part of the ResourceSpec\n in the CreateApp call overrides the value passed as part of the\n ResourceSpec configured for the user profile or the domain. If\n InstanceType is not specified in any of those three ResourceSpec\n values for a KernelGateway app, the CreateApp call fails with a\n request validation error.
Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
\nAn AutoML job in SageMaker is a fully automated process that allows you to build machine\n learning models with minimal effort and machine learning expertise. When initiating an\n AutoML job, you provide your data and optionally specify parameters tailored to your use\n case. SageMaker then automates the entire model development lifecycle, including data\n preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify\n and accelerate the model building process by automating various tasks and exploring\n different combinations of machine learning algorithms, data preprocessing techniques, and\n hyperparameter values. The output of an AutoML job comprises one or more trained models\n ready for deployment and inference. Additionally, SageMaker AutoML jobs generate a candidate\n model leaderboard, allowing you to select the best-performing model for deployment.
\nFor more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html\n in the SageMaker developer guide.
\nWe recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.
\n\n CreateAutoMLJobV2 can manage tabular problem types identical to those of\n its previous version CreateAutoMLJob, as well as time-series forecasting,\n non-tabular problem types such as image or text classification, and text generation\n (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to\n CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.
" + "smithy.api#documentation": "Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
\nAn AutoML job in SageMaker AI is a fully automated process that allows you to build machine\n learning models with minimal effort and machine learning expertise. When initiating an\n AutoML job, you provide your data and optionally specify parameters tailored to your use\n case. SageMaker AI then automates the entire model development lifecycle, including data\n preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify\n and accelerate the model building process by automating various tasks and exploring\n different combinations of machine learning algorithms, data preprocessing techniques, and\n hyperparameter values. The output of an AutoML job comprises one or more trained models\n ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate\n model leaderboard, allowing you to select the best-performing model for deployment.
\nFor more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html\n in the SageMaker AI developer guide.
\nWe recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.
\n\n CreateAutoMLJobV2 can manage tabular problem types identical to those of\n its previous version CreateAutoMLJob, as well as time-series forecasting,\n non-tabular problem types such as image or text classification, and text generation\n (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to\n CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.
" } }, "com.amazonaws.sagemaker#CreateAutoMLJobRequest": { @@ -9872,7 +10035,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
\nAn AutoML job in SageMaker is a fully automated process that allows you to build machine\n learning models with minimal effort and machine learning expertise. When initiating an\n AutoML job, you provide your data and optionally specify parameters tailored to your use\n case. SageMaker then automates the entire model development lifecycle, including data\n preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify\n and accelerate the model building process by automating various tasks and exploring\n different combinations of machine learning algorithms, data preprocessing techniques, and\n hyperparameter values. The output of an AutoML job comprises one or more trained models\n ready for deployment and inference. Additionally, SageMaker AutoML jobs generate a candidate\n model leaderboard, allowing you to select the best-performing model for deployment.
\nFor more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html\n in the SageMaker developer guide.
\nAutoML jobs V2 support various problem types such as regression, binary, and multiclass\n classification with tabular data, text and image classification, time-series forecasting,\n and fine-tuning of large language models (LLMs) for text generation.
\n\n CreateAutoMLJobV2 and DescribeAutoMLJobV2 are new versions of CreateAutoMLJob\n and DescribeAutoMLJob which offer backward compatibility.
\n\n CreateAutoMLJobV2 can manage tabular problem types identical to those of\n its previous version CreateAutoMLJob, as well as time-series forecasting,\n non-tabular problem types such as image or text classification, and text generation\n (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to\n CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
For the list of available problem types supported by CreateAutoMLJobV2, see\n AutoMLProblemTypeConfig.
You can find the best-performing model after you run an AutoML job V2 by calling DescribeAutoMLJobV2.
" + "smithy.api#documentation": "Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
\nAn AutoML job in SageMaker AI is a fully automated process that allows you to build machine\n learning models with minimal effort and machine learning expertise. When initiating an\n AutoML job, you provide your data and optionally specify parameters tailored to your use\n case. SageMaker AI then automates the entire model development lifecycle, including data\n preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify\n and accelerate the model building process by automating various tasks and exploring\n different combinations of machine learning algorithms, data preprocessing techniques, and\n hyperparameter values. The output of an AutoML job comprises one or more trained models\n ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate\n model leaderboard, allowing you to select the best-performing model for deployment.
\nFor more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html\n in the SageMaker AI developer guide.
\nAutoML jobs V2 support various problem types such as regression, binary, and multiclass\n classification with tabular data, text and image classification, time-series forecasting,\n and fine-tuning of large language models (LLMs) for text generation.
\n\n CreateAutoMLJobV2 and DescribeAutoMLJobV2 are new versions of CreateAutoMLJob\n and DescribeAutoMLJob which offer backward compatibility.
\n\n CreateAutoMLJobV2 can manage tabular problem types identical to those of\n its previous version CreateAutoMLJob, as well as time-series forecasting,\n non-tabular problem types such as image or text classification, and text generation\n (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to\n CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
For the list of available problem types supported by CreateAutoMLJobV2, see\n AutoMLProblemTypeConfig.
You can find the best-performing model after you run an AutoML job V2 by calling DescribeAutoMLJobV2.
" } }, "com.amazonaws.sagemaker#CreateAutoMLJobV2Request": { @@ -10153,7 +10316,7 @@ "target": "com.amazonaws.sagemaker#CreateCodeRepositoryOutput" }, "traits": { - "smithy.api#documentation": "Creates a Git repository as a resource in your SageMaker account. You can\n associate the repository with notebook instances so that you can use Git source control\n for the notebooks you create. The Git repository is a resource in your SageMaker\n account, so it can be associated with more than one notebook instance, and it persists\n independently from the lifecycle of any notebook instances it is associated with.
\nThe repository can be hosted either in Amazon Web Services CodeCommit\n or in any other Git repository.
" + "smithy.api#documentation": "Creates a Git repository as a resource in your SageMaker AI account. You can\n associate the repository with notebook instances so that you can use Git source control\n for the notebooks you create. The Git repository is a resource in your SageMaker AI\n account, so it can be associated with more than one notebook instance, and it persists\n independently from the lifecycle of any notebook instances it is associated with.
\nThe repository can be hosted either in Amazon Web Services CodeCommit\n or in any other Git repository.
" } }, "com.amazonaws.sagemaker#CreateCodeRepositoryInput": { @@ -10219,7 +10382,7 @@ } ], "traits": { - "smithy.api#documentation": "Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the\n resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
\nIf\n you choose to host your model using Amazon SageMaker hosting services, you can use the resulting\n model artifacts as part of the model. You can also use the artifacts with\n Amazon Web Services IoT Greengrass. In that case, deploy them as an ML\n resource.
\nIn the request body, you provide the following:
\nA name for the compilation job
\nInformation about the input model artifacts
\nThe output location for the compiled model and the device (target) that the\n model runs on
\nThe Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform\n the model compilation job.
\nYou can also provide a Tag to track the model compilation job's resource\n use and costs. The response body contains the\n CompilationJobArn\n for the compiled job.
To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation\n job, use DescribeCompilationJob. To get information about multiple model compilation\n jobs, use ListCompilationJobs.
" + "smithy.api#documentation": "Starts a model compilation job. After the model has been compiled, Amazon SageMaker AI saves the\n resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
\nIf\n you choose to host your model using Amazon SageMaker AI hosting services, you can use the resulting\n model artifacts as part of the model. You can also use the artifacts with\n Amazon Web Services IoT Greengrass. In that case, deploy them as an ML\n resource.
\nIn the request body, you provide the following:
\nA name for the compilation job
\nInformation about the input model artifacts
\nThe output location for the compiled model and the device (target) that the\n model runs on
\nThe Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker AI assumes to perform\n the model compilation job.
\nYou can also provide a Tag to track the model compilation job's resource\n use and costs. The response body contains the\n CompilationJobArn\n for the compiled job.
To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation\n job, use DescribeCompilationJob. To get information about multiple model compilation\n jobs, use ListCompilationJobs.
" } }, "com.amazonaws.sagemaker#CreateCompilationJobRequest": { @@ -10237,7 +10400,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on\n your behalf.
\nDuring model compilation, Amazon SageMaker needs your permission to:
\nRead input data from an S3 bucket
\nWrite model artifacts to an S3 bucket
\nWrite logs to Amazon CloudWatch Logs
\nPublish metrics to Amazon CloudWatch
\nYou grant permissions for all of these tasks to an IAM role. To pass this role to\n Amazon SageMaker, the caller of this API must have the iam:PassRole permission. For\n more information, see Amazon SageMaker\n Roles.\n
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on\n your behalf.
\nDuring model compilation, Amazon SageMaker AI needs your permission to:
\nRead input data from an S3 bucket
\nWrite model artifacts to an S3 bucket
\nWrite logs to Amazon CloudWatch Logs
\nPublish metrics to Amazon CloudWatch
\nYou grant permissions for all of these tasks to an IAM role. To pass this role to\n Amazon SageMaker AI, the caller of this API must have the iam:PassRole permission. For\n more information, see Amazon SageMaker AI\n Roles.\n
Specifies a limit to how long a model compilation job can run. When the job reaches\n the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training\n costs.
", + "smithy.api#documentation": "Specifies a limit to how long a model compilation job can run. When the job reaches\n the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training\n costs.
", "smithy.api#required": {} } }, @@ -10293,7 +10456,7 @@ "target": "com.amazonaws.sagemaker#CompilationJobArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker returns\n the following data in JSON format:
\n\n CompilationJobArn: The Amazon Resource Name (ARN) of the compiled\n job.
If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker AI returns\n the following data in JSON format:
\n\n CompilationJobArn: The Amazon Resource Name (ARN) of the compiled\n job.
Creates a definition for a job that monitors data quality and drift. For information\n about model monitor, see Amazon SageMaker Model\n Monitor.
" + "smithy.api#documentation": "Creates a definition for a job that monitors data quality and drift. For information\n about model monitor, see Amazon SageMaker AI Model\n Monitor.
" } }, "com.amazonaws.sagemaker#CreateDataQualityJobDefinitionRequest": { @@ -10562,7 +10725,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can \n assume to perform tasks on your behalf.
", + "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can \n assume to perform tasks on your behalf.
", "smithy.api#required": {} } }, @@ -10681,7 +10844,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates a Domain. A domain consists of an associated Amazon Elastic File System\n volume, a list of authorized users, and a variety of security, application, policy, and\n Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files\n and other artifacts with each other.
\n EFS storage\n
\nWhen a domain is created, an EFS volume is created for use by all of the users within the\n domain. Each user receives a private home directory within the EFS volume for notebooks, Git\n repositories, and data files.
\nSageMaker uses the Amazon Web Services Key Management Service (Amazon Web Services\n KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key\n by default. For more control, you can specify a customer managed key. For more information,\n see Protect Data\n at Rest Using Encryption.
\n\n VPC configuration\n
\nAll traffic between the domain and the Amazon EFS volume is through the specified\n VPC and subnets. For other traffic, you can specify the AppNetworkAccessType\n parameter. AppNetworkAccessType corresponds to the network access type that you\n choose when you onboard to the domain. The following options are available:
\n PublicInternetOnly - Non-EFS traffic goes through a VPC managed by\n Amazon SageMaker, which allows internet access. This is the default value.
\n VpcOnly - All traffic is through the specified VPC and subnets. Internet\n access is disabled by default. To allow internet access, you must specify a NAT\n gateway.
When internet access is disabled, you won't be able to run a Amazon SageMaker\n Studio notebook or to train or host models unless your VPC has an interface endpoint to\n the SageMaker API and runtime or a NAT gateway and your security groups allow\n outbound connections.
\nNFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules\n in order to launch a Amazon SageMaker Studio app successfully.
\nFor more information, see Connect Amazon SageMaker Studio Notebooks to Resources in a VPC.
" + "smithy.api#documentation": "Creates a Domain. A domain consists of an associated Amazon Elastic File System\n volume, a list of authorized users, and a variety of security, application, policy, and\n Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files\n and other artifacts with each other.
\n EFS storage\n
\nWhen a domain is created, an EFS volume is created for use by all of the users within the\n domain. Each user receives a private home directory within the EFS volume for notebooks, Git\n repositories, and data files.
\nSageMaker AI uses the Amazon Web Services Key Management Service (Amazon Web Services\n KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key\n by default. For more control, you can specify a customer managed key. For more information,\n see Protect Data\n at Rest Using Encryption.
\n\n VPC configuration\n
\nAll traffic between the domain and the Amazon EFS volume is through the specified\n VPC and subnets. For other traffic, you can specify the AppNetworkAccessType\n parameter. AppNetworkAccessType corresponds to the network access type that you\n choose when you onboard to the domain. The following options are available:
\n PublicInternetOnly - Non-EFS traffic goes through a VPC managed by\n Amazon SageMaker AI, which allows internet access. This is the default value.
\n VpcOnly - All traffic is through the specified VPC and subnets. Internet\n access is disabled by default. To allow internet access, you must specify a NAT\n gateway.
When internet access is disabled, you won't be able to run a Amazon SageMaker AI\n Studio notebook or to train or host models unless your VPC has an interface endpoint to\n the SageMaker AI API and runtime or a NAT gateway and your security groups allow\n outbound connections.
\nNFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules\n in order to launch a Amazon SageMaker AI Studio app successfully.
\nFor more information, see Connect Amazon SageMaker AI Studio Notebooks to Resources in a VPC.
" } }, "com.amazonaws.sagemaker#CreateDomainRequest": { @@ -10742,7 +10905,7 @@ "AppNetworkAccessType": { "target": "com.amazonaws.sagemaker#AppNetworkAccessType", "traits": { - "smithy.api#documentation": "Specifies the VPC used for non-EFS traffic. The default value is\n PublicInternetOnly.
\n PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet access
\n VpcOnly - All traffic is through the specified VPC and subnets
Specifies the VPC used for non-EFS traffic. The default value is\n PublicInternetOnly.
\n PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access
\n VpcOnly - All traffic is through the specified VPC and subnets
SageMaker uses Amazon Web Services KMS to encrypt EFS and EBS volumes attached to\n the domain with an Amazon Web Services managed key by default. For more control, specify a\n customer managed key.
" + "smithy.api#documentation": "SageMaker AI uses Amazon Web Services KMS to encrypt EFS and EBS volumes attached to\n the domain with an Amazon Web Services managed key by default. For more control, specify a\n customer managed key.
" } }, "AppSecurityGroupManagement": { @@ -11095,7 +11258,7 @@ "ExecutionRoleArn": { "target": "com.amazonaws.sagemaker#RoleArn", "traits": { - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform actions on your behalf. For more information, see SageMaker\n Roles.
\nTo be able to pass this role to Amazon SageMaker, the caller of this action must\n have the iam:PassRole permission.
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform actions on your behalf. For more information, see SageMaker AI\n Roles.
\nTo be able to pass this role to Amazon SageMaker AI, the caller of this action must\n have the iam:PassRole permission.
Creates a custom SageMaker image. A SageMaker image is a set of image versions. Each image\n version represents a container image stored in Amazon ECR. For more information, see\n Bring your own SageMaker image.
" + "smithy.api#documentation": "Creates a custom SageMaker AI image. A SageMaker AI image is a set of image versions. Each image\n version represents a container image stored in Amazon ECR. For more information, see\n Bring your own SageMaker AI image.
" } }, "com.amazonaws.sagemaker#CreateImageRequest": { @@ -11818,7 +11981,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The ARN of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
", + "smithy.api#documentation": "The ARN of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
", "smithy.api#required": {} } }, @@ -11867,7 +12030,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates a version of the SageMaker image specified by ImageName. The version\n represents the Amazon ECR container image specified by BaseImage.
Creates a version of the SageMaker AI image specified by ImageName. The version\n represents the Amazon ECR container image specified by BaseImage.
Indicates SageMaker job type compatibility.
\n\n TRAINING: The image version is compatible with SageMaker training jobs.
\n INFERENCE: The image version is compatible with SageMaker inference jobs.
\n NOTEBOOK_KERNEL: The image version is compatible with SageMaker notebook kernels.
Indicates SageMaker AI job type compatibility.
\n\n TRAINING: The image version is compatible with SageMaker AI training jobs.
\n INFERENCE: The image version is compatible with SageMaker AI inference jobs.
\n NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
Creates an inference component, which is a SageMaker hosting object that you can\n use to deploy a model to an endpoint. In the inference component settings, you specify the\n model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You\n can optimize resource utilization by tailoring how the required CPU cores, accelerators,\n and memory are allocated. You can deploy multiple inference components to an endpoint,\n where each inference component contains one model and the resource utilization needs for\n that individual model. After you deploy an inference component, you can directly invoke the\n associated model when you use the InvokeEndpoint API action.
" + "smithy.api#documentation": "Creates an inference component, which is a SageMaker AI hosting object that you can\n use to deploy a model to an endpoint. In the inference component settings, you specify the\n model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You\n can optimize resource utilization by tailoring how the required CPU cores, accelerators,\n and memory are allocated. You can deploy multiple inference components to an endpoint,\n where each inference component contains one model and the resource utilization needs for\n that individual model. After you deploy an inference component, you can directly invoke the\n associated model when you use the InvokeEndpoint API action.
" } }, "com.amazonaws.sagemaker#CreateInferenceComponentInput": { @@ -12573,7 +12736,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can \n assume to perform tasks on your behalf.
", + "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can \n assume to perform tasks on your behalf.
", "smithy.api#required": {} } }, @@ -12841,7 +13004,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can \n assume to perform tasks on your behalf.
", + "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can \n assume to perform tasks on your behalf.
", "smithy.api#required": {} } }, @@ -13207,7 +13370,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates a definition for a job that monitors model quality and drift. For information\n about model monitor, see Amazon SageMaker Model\n Monitor.
" + "smithy.api#documentation": "Creates a definition for a job that monitors model quality and drift. For information\n about model monitor, see Amazon SageMaker AI Model\n Monitor.
" } }, "com.amazonaws.sagemaker#CreateModelQualityJobDefinitionRequest": { @@ -13267,7 +13430,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can \n assume to perform tasks on your behalf.
", + "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can \n assume to perform tasks on your behalf.
", "smithy.api#required": {} } }, @@ -13318,7 +13481,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to\n monitor the data captured for an Amazon SageMaker Endpoint.
" + "smithy.api#documentation": "Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to\n monitor the data captured for an Amazon SageMaker AI Endpoint.
" } }, "com.amazonaws.sagemaker#CreateMonitoringScheduleRequest": { @@ -13381,7 +13544,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates an SageMaker notebook instance. A notebook instance is a machine\n learning (ML) compute instance running on a Jupyter notebook.
\nIn a CreateNotebookInstance request, specify the type of ML compute\n instance that you want to run. SageMaker launches the instance, installs common\n libraries that you can use to explore datasets for model training, and attaches an ML\n storage volume to the notebook instance.
SageMaker also provides a set of example notebooks. Each notebook\n demonstrates how to use SageMaker with a specific algorithm or with a machine\n learning framework.
\nAfter receiving the request, SageMaker does the following:
\nCreates a network interface in the SageMaker VPC.
\n(Option) If you specified SubnetId, SageMaker creates\n a network interface in your own VPC, which is inferred from the subnet ID that\n you provide in the input. When creating this network interface, SageMaker attaches the security group that you specified in the request to the network\n interface that it creates in your VPC.
Launches an EC2 instance of the type specified in the request in the\n SageMaker VPC. If you specified SubnetId of your VPC,\n SageMaker specifies both network interfaces when launching this\n instance. This enables inbound traffic from your own VPC to the notebook\n instance, assuming that the security groups allow it.
After creating the notebook instance, SageMaker returns its Amazon Resource\n Name (ARN). You can't change the name of a notebook instance after you create\n it.
\nAfter SageMaker creates the notebook instance, you can connect to the\n Jupyter server and work in Jupyter notebooks. For example, you can write code to explore\n a dataset that you can use for model training, train a model, host models by creating\n SageMaker endpoints, and validate hosted models.
\nFor more information, see How It Works.
" + "smithy.api#documentation": "Creates an SageMaker AI notebook instance. A notebook instance is a machine\n learning (ML) compute instance running on a Jupyter notebook.
\nIn a CreateNotebookInstance request, specify the type of ML compute\n instance that you want to run. SageMaker AI launches the instance, installs common\n libraries that you can use to explore datasets for model training, and attaches an ML\n storage volume to the notebook instance.
SageMaker AI also provides a set of example notebooks. Each notebook\n demonstrates how to use SageMaker AI with a specific algorithm or with a machine\n learning framework.
\nAfter receiving the request, SageMaker AI does the following:
\nCreates a network interface in the SageMaker AI VPC.
\n(Option) If you specified SubnetId, SageMaker AI creates\n a network interface in your own VPC, which is inferred from the subnet ID that\n you provide in the input. When creating this network interface, SageMaker AI attaches the security group that you specified in the request to the network\n interface that it creates in your VPC.
Launches an EC2 instance of the type specified in the request in the\n SageMaker AI VPC. If you specified SubnetId of your VPC,\n SageMaker AI specifies both network interfaces when launching this\n instance. This enables inbound traffic from your own VPC to the notebook\n instance, assuming that the security groups allow it.
After creating the notebook instance, SageMaker AI returns its Amazon Resource\n Name (ARN). You can't change the name of a notebook instance after you create\n it.
\nAfter SageMaker AI creates the notebook instance, you can connect to the\n Jupyter server and work in Jupyter notebooks. For example, you can write code to explore\n a dataset that you can use for model training, train a model, host models by creating\n SageMaker AI endpoints, and validate hosted models.
\nFor more information, see How It Works.
" } }, "com.amazonaws.sagemaker#CreateNotebookInstanceInput": { @@ -13419,14 +13582,14 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "When you send any requests to Amazon Web Services resources from the notebook\n instance, SageMaker assumes this role to perform tasks on your behalf. You must\n grant this role necessary permissions so SageMaker can perform these tasks. The\n policy must allow the SageMaker service principal (sagemaker.amazonaws.com)\n permissions to assume this role. For more information, see SageMaker Roles.
\nTo be able to pass this role to SageMaker, the caller of this API must\n have the iam:PassRole permission.
When you send any requests to Amazon Web Services resources from the notebook\n instance, SageMaker AI assumes this role to perform tasks on your behalf. You must\n grant this role necessary permissions so SageMaker AI can perform these tasks. The\n policy must allow the SageMaker AI service principal (sagemaker.amazonaws.com)\n permissions to assume this role. For more information, see SageMaker AI Roles.
\nTo be able to pass this role to SageMaker AI, the caller of this API must\n have the iam:PassRole permission.
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that\n SageMaker uses to encrypt data on the storage volume attached to your\n notebook instance. The KMS key you provide must be enabled. For information, see Enabling and\n Disabling Keys in the Amazon Web Services Key Management Service\n Developer Guide.
" + "smithy.api#documentation": "The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that\n SageMaker AI uses to encrypt data on the storage volume attached to your\n notebook instance. The KMS key you provide must be enabled. For information, see Enabling and\n Disabling Keys in the Amazon Web Services Key Management Service\n Developer Guide.
" } }, "Tags": { @@ -13444,7 +13607,7 @@ "DirectInternetAccess": { "target": "com.amazonaws.sagemaker#DirectInternetAccess", "traits": { - "smithy.api#documentation": "Sets whether SageMaker provides internet access to the notebook instance. If\n you set this to Disabled this notebook instance is able to access resources\n only in your VPC, and is not be able to connect to SageMaker training and\n endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value\n of this parameter to Disabled only if you set a value for the\n SubnetId parameter.
Sets whether SageMaker AI provides internet access to the notebook instance. If\n you set this to Disabled this notebook instance is able to access resources\n only in your VPC, and is not be able to connect to SageMaker AI training and\n endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value\n of this parameter to Disabled only if you set a value for the\n SubnetId parameter.
A Git repository to associate with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "A Git repository to associate with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker AI Notebook Instances.
" } }, "AdditionalCodeRepositories": { "target": "com.amazonaws.sagemaker#AdditionalCodeRepositoryNamesOrUrls", "traits": { - "smithy.api#documentation": "An array of up to three Git repositories to associate with the notebook instance.\n These can be either the names of Git repositories stored as resources in your account,\n or the URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "An array of up to three Git repositories to associate with the notebook instance.\n These can be either the names of Git repositories stored as resources in your account,\n or the URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker AI Notebook Instances.
" } }, "RootAccess": { @@ -13602,7 +13765,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
\nDuring model optimization, Amazon SageMaker needs your permission to:
\nRead input data from an S3 bucket
\nWrite model artifacts to an S3 bucket
\nWrite logs to Amazon CloudWatch Logs
\nPublish metrics to Amazon CloudWatch
\nYou grant permissions for all of these tasks to an IAM role. To pass this\n role to Amazon SageMaker, the caller of this API must have the\n iam:PassRole permission. For more information, see Amazon SageMaker Roles.\n
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
\nDuring model optimization, Amazon SageMaker AI needs your permission to:
\nRead input data from an S3 bucket
\nWrite model artifacts to an S3 bucket
\nWrite logs to Amazon CloudWatch Logs
\nPublish metrics to Amazon CloudWatch
\nYou grant permissions for all of these tasks to an IAM role. To pass this\n role to Amazon SageMaker AI, the caller of this API must have the\n iam:PassRole permission. For more information, see Amazon SageMaker AI Roles.\n
Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the\n user will be automatically signed in to the domain, and granted access to all of the Apps and\n files associated with the Domain's Amazon Elastic File System volume. This operation can only be\n called when the authentication mode equals IAM.
\nThe IAM role or user passed to this API defines the permissions to access\n the app. Once the presigned URL is created, no additional permission is required to access\n this URL. IAM authorization policies for this API are also enforced for every\n HTTP request and WebSocket frame that attempts to connect to the app.
\nYou can restrict access to this API and to the URL that it returns to a list of IP\n addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more\n information, see Connect to Amazon SageMaker\n Studio Through an Interface VPC Endpoint .
\nThe URL that you get from a call to CreatePresignedDomainUrl has a\n default timeout of 5 minutes. You can configure this value using\n ExpiresInSeconds. If you try to use the URL after the timeout limit\n expires, you are directed to the Amazon Web Services console sign-in page.
The JupyterLab session default expiration time is 12 hours. You can configure this\n value using SessionExpirationDurationInSeconds.
\nCreates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the\n user will be automatically signed in to the domain, and granted access to all of the Apps and\n files associated with the Domain's Amazon Elastic File System volume. This operation can only be\n called when the authentication mode equals IAM.
\nThe IAM role or user passed to this API defines the permissions to access\n the app. Once the presigned URL is created, no additional permission is required to access\n this URL. IAM authorization policies for this API are also enforced for every\n HTTP request and WebSocket frame that attempts to connect to the app.
\nYou can restrict access to this API and to the URL that it returns to a list of IP\n addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more\n information, see Connect to Amazon SageMaker AI\n Studio Through an Interface VPC Endpoint .
\nThe URL that you get from a call to CreatePresignedDomainUrl has a\n default timeout of 5 minutes. You can configure this value using\n ExpiresInSeconds. If you try to use the URL after the timeout limit\n expires, you are directed to the Amazon Web Services console sign-in page.
The JupyterLab session default expiration time is 12 hours. You can configure this\n value using SessionExpirationDurationInSeconds.
\nReturns a URL that you can use to connect to the Jupyter server from a notebook\n instance. In the SageMaker console, when you choose Open next to a\n notebook instance, SageMaker opens a new tab showing the Jupyter server home\n page from the notebook instance. The console uses this API to get the URL and show the\n page.
The IAM role or user used to call this API defines the permissions to\n access the notebook instance. Once the presigned URL is created, no additional\n permission is required to access this URL. IAM authorization policies for\n this API are also enforced for every HTTP request and WebSocket frame that attempts to\n connect to the notebook instance.
\nYou can restrict access to this API and to the URL that it returns to a list of IP\n addresses that you specify. Use the NotIpAddress condition operator and the\n aws:SourceIP condition context key to specify the list of IP addresses\n that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you\n try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.
\nReturns a URL that you can use to connect to the Jupyter server from a notebook\n instance. In the SageMaker AI console, when you choose Open next to a\n notebook instance, SageMaker AI opens a new tab showing the Jupyter server home\n page from the notebook instance. The console uses this API to get the URL and show the\n page.
The IAM role or user used to call this API defines the permissions to\n access the notebook instance. Once the presigned URL is created, no additional\n permission is required to access this URL. IAM authorization policies for\n this API are also enforced for every HTTP request and WebSocket frame that attempts to\n connect to the notebook instance.
\nYou can restrict access to this API and to the URL that it returns to a list of IP\n addresses that you specify. Use the NotIpAddress condition operator and the\n aws:SourceIP condition context key to specify the list of IP addresses\n that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you\n try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.
\nCreates a new Amazon SageMaker Studio Lifecycle Configuration.
" + "smithy.api#documentation": "Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
" } }, "com.amazonaws.sagemaker#CreateStudioLifecycleConfigRequest": { @@ -14455,7 +14618,7 @@ "target": "com.amazonaws.sagemaker#StudioLifecycleConfigName", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The name of the Amazon SageMaker Studio Lifecycle Configuration to create.
", + "smithy.api#documentation": "The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.
", "smithy.api#required": {} } }, @@ -14463,7 +14626,7 @@ "target": "com.amazonaws.sagemaker#StudioLifecycleConfigContent", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The content of your Amazon SageMaker Studio Lifecycle Configuration script. This\n content must be base64 encoded.
", + "smithy.api#documentation": "The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This\n content must be base64 encoded.
", "smithy.api#required": {} } }, @@ -15380,7 +15543,7 @@ } }, "traits": { - "smithy.api#documentation": "A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker\n Studio.
" + "smithy.api#documentation": "A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI\n Studio.
" } }, "com.amazonaws.sagemaker#CustomFileSystemConfig": { @@ -15400,7 +15563,7 @@ } }, "traits": { - "smithy.api#documentation": "The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker\n Studio.
" + "smithy.api#documentation": "The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI\n Studio.
" } }, "com.amazonaws.sagemaker#CustomFileSystemConfigs": { @@ -15454,7 +15617,7 @@ } }, "traits": { - "smithy.api#documentation": "A custom SageMaker image. For more information, see\n Bring your own SageMaker image.
" + "smithy.api#documentation": "A custom SageMaker AI image. For more information, see\n Bring your own SageMaker AI image.
" } }, "com.amazonaws.sagemaker#CustomImageContainerArguments": { @@ -15612,7 +15775,7 @@ "target": "com.amazonaws.sagemaker#SamplingPercentage", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The percentage of requests SageMaker will capture. A lower value is recommended\n for Endpoints with high traffic.
", + "smithy.api#documentation": "The percentage of requests SageMaker AI will capture. A lower value is recommended\n for Endpoints with high traffic.
", "smithy.api#required": {} } }, @@ -15627,7 +15790,7 @@ "KmsKeyId": { "target": "com.amazonaws.sagemaker#KmsKeyId", "traits": { - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an Key Management Service key that SageMaker\n uses to encrypt the captured data at rest using Amazon S3 server-side\n encryption.
\nThe KmsKeyId can be any of the following formats:
\nKey ID: 1234abcd-12ab-34cd-56ef-1234567890ab\n
Key ARN:\n arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\n
Alias name: alias/ExampleAlias\n
Alias name ARN:\n arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\n
The Amazon Resource Name (ARN) of an Key Management Service key that SageMaker AI\n uses to encrypt the captured data at rest using Amazon S3 server-side\n encryption.
\nThe KmsKeyId can be any of the following formats:
\nKey ID: 1234abcd-12ab-34cd-56ef-1234567890ab\n
Key ARN:\n arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\n
Alias name: alias/ExampleAlias\n
Alias name ARN:\n arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\n
Configuration specifying how to treat different headers. If no headers are specified\n SageMaker will by default base64 encode when capturing the data.
" + "smithy.api#documentation": "Configuration specifying how to treat different headers. If no headers are specified\n SageMaker AI will by default base64 encode when capturing the data.
" } } }, "traits": { - "smithy.api#documentation": "Configuration to control how SageMaker captures inference data.
" + "smithy.api#documentation": "Configuration to control how SageMaker AI captures inference data.
" } }, "com.amazonaws.sagemaker#DataCaptureConfigSummary": { @@ -16185,7 +16348,7 @@ "CustomFileSystemConfigs": { "target": "com.amazonaws.sagemaker#CustomFileSystemConfigs", "traits": { - "smithy.api#documentation": "The settings for assigning a custom file system to a domain. Permitted users can access\n this file system in Amazon SageMaker Studio.
" + "smithy.api#documentation": "The settings for assigning a custom file system to a domain. Permitted users can access\n this file system in Amazon SageMaker AI Studio.
" } } }, @@ -16632,7 +16795,7 @@ } ], "traits": { - "smithy.api#documentation": "Deletes the specified compilation job. This action deletes only the compilation job\n resource in Amazon SageMaker. It doesn't delete other resources that are related to\n that job, such as the model artifacts that the job creates, the compilation logs in\n CloudWatch, the compiled model, or the IAM role.
\nYou can delete a compilation job only if its current status is COMPLETED,\n FAILED, or STOPPED. If the job status is\n STARTING or INPROGRESS, stop the job, and then delete it\n after its status becomes STOPPED.
Deletes the specified compilation job. This action deletes only the compilation job\n resource in Amazon SageMaker AI. It doesn't delete other resources that are related to\n that job, such as the model artifacts that the job creates, the compilation logs in\n CloudWatch, the compiled model, or the IAM role.
\nYou can delete a compilation job only if its current status is COMPLETED,\n FAILED, or STOPPED. If the job status is\n STARTING or INPROGRESS, stop the job, and then delete it\n after its status becomes STOPPED.
Deletes a SageMaker image and all versions of the image. The container images aren't\n deleted.
" + "smithy.api#documentation": "Deletes a SageMaker AI image and all versions of the image. The container images aren't\n deleted.
" } }, "com.amazonaws.sagemaker#DeleteImageRequest": { @@ -17365,7 +17528,7 @@ } ], "traits": { - "smithy.api#documentation": "Deletes a version of a SageMaker image. The container image the version represents isn't\n deleted.
" + "smithy.api#documentation": "Deletes a version of a SageMaker AI image. The container image the version represents isn't\n deleted.
" } }, "com.amazonaws.sagemaker#DeleteImageVersionRequest": { @@ -17556,7 +17719,7 @@ } ], "traits": { - "smithy.api#documentation": "Deletes an Amazon SageMaker model bias job definition.
" + "smithy.api#documentation": "Deletes an Amazon SageMaker AI model bias job definition.
" } }, "com.amazonaws.sagemaker#DeleteModelBiasJobDefinitionRequest": { @@ -17625,7 +17788,7 @@ } ], "traits": { - "smithy.api#documentation": "Deletes an Amazon SageMaker model explainability job definition.
" + "smithy.api#documentation": "Deletes an Amazon SageMaker AI model explainability job definition.
" } }, "com.amazonaws.sagemaker#DeleteModelExplainabilityJobDefinitionRequest": { @@ -17829,7 +17992,7 @@ "target": "smithy.api#Unit" }, "traits": { - "smithy.api#documentation": " Deletes an SageMaker notebook instance. Before you can delete a notebook\n instance, you must call the StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker removes the ML compute instance, and deletes the ML storage volume and the\n network interface associated with the notebook instance.
\n Deletes an SageMaker AI notebook instance. Before you can delete a notebook\n instance, you must call the StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker AI removes the ML compute instance, and deletes the ML storage volume and the\n network interface associated with the notebook instance.
\nThe name of the SageMaker notebook instance to delete.
", + "smithy.api#documentation": "The name of the SageMaker AI notebook instance to delete.
", "smithy.api#required": {} } } @@ -18119,7 +18282,7 @@ } ], "traits": { - "smithy.api#documentation": "Deletes the Amazon SageMaker Studio Lifecycle Configuration. In order to delete the\n Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You\n must also remove the Lifecycle Configuration from UserSettings in all Domains and\n UserProfiles.
" + "smithy.api#documentation": "Deletes the Amazon SageMaker AI Studio Lifecycle Configuration. In order to delete the\n Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You\n must also remove the Lifecycle Configuration from UserSettings in all Domains and\n UserProfiles.
" } }, "com.amazonaws.sagemaker#DeleteStudioLifecycleConfigRequest": { @@ -18129,7 +18292,7 @@ "target": "com.amazonaws.sagemaker#StudioLifecycleConfigName", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The name of the Amazon SageMaker Studio Lifecycle Configuration to delete.
", + "smithy.api#documentation": "The name of the Amazon SageMaker AI Studio Lifecycle Configuration to delete.
", "smithy.api#required": {} } } @@ -19065,13 +19228,13 @@ "LastUserActivityTimestamp": { "target": "com.amazonaws.sagemaker#Timestamp", "traits": { - "smithy.api#documentation": "The timestamp of the last user's activity. LastUserActivityTimestamp is also\n updated when SageMaker performs health checks without user activity. As a result, this\n value is set to the same value as LastHealthCheckTimestamp.
The timestamp of the last user's activity. LastUserActivityTimestamp is also\n updated when SageMaker AI performs health checks without user activity. As a result, this\n value is set to the same value as LastHealthCheckTimestamp.
The creation time of the application.
\nAfter an application has been shut down for 24 hours, SageMaker deletes all\n metadata for the application. To be considered an update and retain application metadata,\n applications must be restarted within 24 hours after the previous application has been shut\n down. After this time window, creation of an application is considered a new application\n rather than an update of the previous application.
\nThe creation time of the application.
\nAfter an application has been shut down for 24 hours, SageMaker AI deletes all\n metadata for the application. To be considered an update and retain application metadata,\n applications must be restarted within 24 hours after the previous application has been shut\n down. After this time window, creation of an application is considered a new application\n rather than an update of the previous application.
\nThe instance type and the Amazon Resource Name (ARN) of the SageMaker image\n created on the instance.
" + "smithy.api#documentation": "The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image\n created on the instance.
" } }, "BuiltInLifecycleConfigArn": { @@ -19326,7 +19489,7 @@ "BestCandidate": { "target": "com.amazonaws.sagemaker#AutoMLCandidate", "traits": { - "smithy.api#documentation": "The best model candidate selected by SageMaker Autopilot using both the best\n objective metric and lowest InferenceLatency for\n an experiment.
" + "smithy.api#documentation": "The best model candidate selected by SageMaker AI Autopilot using both the best\n objective metric and lowest InferenceLatency for\n an experiment.
" } }, "AutoMLJobStatus": { @@ -20003,14 +20166,14 @@ "CompilationEndTime": { "target": "com.amazonaws.sagemaker#Timestamp", "traits": { - "smithy.api#documentation": "The time when the model compilation job on a compilation job instance ended. For a\n successful or stopped job, this is when the job's model artifacts have finished\n uploading. For a failed job, this is when Amazon SageMaker detected that the job failed.
" + "smithy.api#documentation": "The time when the model compilation job on a compilation job instance ended. For a\n successful or stopped job, this is when the job's model artifacts have finished\n uploading. For a failed job, this is when Amazon SageMaker AI detected that the job failed.
" } }, "StoppingCondition": { "target": "com.amazonaws.sagemaker#StoppingCondition", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "Specifies a limit to how long a model compilation job can run. When the job reaches\n the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training\n costs.
", + "smithy.api#documentation": "Specifies a limit to how long a model compilation job can run. When the job reaches\n the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training\n costs.
", "smithy.api#required": {} } }, @@ -20068,7 +20231,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model\n compilation job.
", + "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI assumes to perform the model\n compilation job.
", "smithy.api#required": {} } }, @@ -20457,7 +20620,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can \n assume to perform tasks on your behalf.
", + "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can \n assume to perform tasks on your behalf.
", "smithy.api#required": {} } }, @@ -20764,7 +20927,7 @@ "SingleSignOnApplicationArn": { "target": "com.amazonaws.sagemaker#SingleSignOnApplicationArn", "traits": { - "smithy.api#documentation": "The ARN of the application managed by SageMaker in IAM Identity Center. This value\n is only returned for domains created after October 1, 2023.
" + "smithy.api#documentation": "The ARN of the application managed by SageMaker AI in IAM Identity Center. This value\n is only returned for domains created after October 1, 2023.
" } }, "Status": { @@ -20818,7 +20981,7 @@ "AppNetworkAccessType": { "target": "com.amazonaws.sagemaker#AppNetworkAccessType", "traits": { - "smithy.api#documentation": "Specifies the VPC used for non-EFS traffic. The default value is\n PublicInternetOnly.
\n PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet access
\n VpcOnly - All traffic is through the specified VPC and subnets
Specifies the VPC used for non-EFS traffic. The default value is\n PublicInternetOnly.
\n PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access
\n VpcOnly - All traffic is through the specified VPC and subnets
Describes a SageMaker image.
", + "smithy.api#documentation": "Describes a SageMaker AI image.
", "smithy.api#suppress": ["WaitableTraitInvalidErrorType"], "smithy.waiters#waitable": { "ImageCreated": { @@ -22643,7 +22806,7 @@ "RoleArn": { "target": "com.amazonaws.sagemaker#RoleArn", "traits": { - "smithy.api#documentation": "The ARN of the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
" + "smithy.api#documentation": "The ARN of the IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
" } } }, @@ -22665,7 +22828,7 @@ } ], "traits": { - "smithy.api#documentation": "Describes a version of a SageMaker image.
", + "smithy.api#documentation": "Describes a version of a SageMaker AI image.
", "smithy.api#suppress": ["WaitableTraitInvalidErrorType"], "smithy.waiters#waitable": { "ImageVersionCreated": { @@ -22823,7 +22986,7 @@ "JobType": { "target": "com.amazonaws.sagemaker#JobType", "traits": { - "smithy.api#documentation": "Indicates SageMaker job type compatibility.
\n\n TRAINING: The image version is compatible with SageMaker training jobs.
\n INFERENCE: The image version is compatible with SageMaker inference jobs.
\n NOTEBOOK_KERNEL: The image version is compatible with SageMaker notebook kernels.
Indicates SageMaker AI job type compatibility.
\n\n TRAINING: The image version is compatible with SageMaker AI training jobs.
\n INFERENCE: The image version is compatible with SageMaker AI inference jobs.
\n NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can \n assume to perform tasks on your behalf.
", + "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can \n assume to perform tasks on your behalf.
", "smithy.api#required": {} } }, @@ -24937,7 +25100,7 @@ "NotebookInstanceName": { "target": "com.amazonaws.sagemaker#NotebookInstanceName", "traits": { - "smithy.api#documentation": "The name of the SageMaker notebook instance.
" + "smithy.api#documentation": "The name of the SageMaker AI notebook instance.
" } }, "NotebookInstanceStatus": { @@ -24985,13 +25148,13 @@ "KmsKeyId": { "target": "com.amazonaws.sagemaker#KmsKeyId", "traits": { - "smithy.api#documentation": "The Amazon Web Services KMS key ID SageMaker uses to encrypt data when\n storing it on the ML storage volume attached to the instance.
" + "smithy.api#documentation": "The Amazon Web Services KMS key ID SageMaker AI uses to encrypt data when\n storing it on the ML storage volume attached to the instance.
" } }, "NetworkInterfaceId": { "target": "com.amazonaws.sagemaker#NetworkInterfaceId", "traits": { - "smithy.api#documentation": "The network interface IDs that SageMaker created at the time of creating\n the instance.
" + "smithy.api#documentation": "The network interface IDs that SageMaker AI created at the time of creating\n the instance.
" } }, "LastModifiedTime": { @@ -25015,7 +25178,7 @@ "DirectInternetAccess": { "target": "com.amazonaws.sagemaker#DirectInternetAccess", "traits": { - "smithy.api#documentation": "Describes whether SageMaker provides internet access to the notebook instance.\n If this value is set to Disabled, the notebook instance does not\n have internet access, and cannot connect to SageMaker training and endpoint\n services.
\nFor more information, see Notebook Instances Are Internet-Enabled by Default.
" + "smithy.api#documentation": "Describes whether SageMaker AI provides internet access to the notebook instance.\n If this value is set to Disabled, the notebook instance does not\n have internet access, and cannot connect to SageMaker AI training and endpoint\n services.
\nFor more information, see Notebook Instances Are Internet-Enabled by Default.
" } }, "VolumeSizeInGB": { @@ -25033,13 +25196,13 @@ "DefaultCodeRepository": { "target": "com.amazonaws.sagemaker#CodeRepositoryNameOrUrl", "traits": { - "smithy.api#documentation": "The Git repository associated with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "The Git repository associated with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker AI Notebook Instances.
" } }, "AdditionalCodeRepositories": { "target": "com.amazonaws.sagemaker#AdditionalCodeRepositoryNamesOrUrls", "traits": { - "smithy.api#documentation": "An array of up to three Git repositories associated with the notebook instance. These\n can be either the names of Git repositories stored as resources in your account, or the\n URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "An array of up to three Git repositories associated with the notebook instance. These\n can be either the names of Git repositories stored as resources in your account, or the\n URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker AI Notebook Instances.
" } }, "RootAccess": { @@ -26102,7 +26265,7 @@ } ], "traits": { - "smithy.api#documentation": "Describes the Amazon SageMaker Studio Lifecycle Configuration.
" + "smithy.api#documentation": "Describes the Amazon SageMaker AI Studio Lifecycle Configuration.
" } }, "com.amazonaws.sagemaker#DescribeStudioLifecycleConfigRequest": { @@ -26112,7 +26275,7 @@ "target": "com.amazonaws.sagemaker#StudioLifecycleConfigName", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The name of the Amazon SageMaker Studio Lifecycle Configuration to describe.
", + "smithy.api#documentation": "The name of the Amazon SageMaker AI Studio Lifecycle Configuration to describe.
", "smithy.api#required": {} } } @@ -26133,25 +26296,25 @@ "StudioLifecycleConfigName": { "target": "com.amazonaws.sagemaker#StudioLifecycleConfigName", "traits": { - "smithy.api#documentation": "The name of the Amazon SageMaker Studio Lifecycle Configuration that is\n described.
" + "smithy.api#documentation": "The name of the Amazon SageMaker AI Studio Lifecycle Configuration that is\n described.
" } }, "CreationTime": { "target": "com.amazonaws.sagemaker#Timestamp", "traits": { - "smithy.api#documentation": "The creation time of the Amazon SageMaker Studio Lifecycle Configuration.
" + "smithy.api#documentation": "The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.
" } }, "LastModifiedTime": { "target": "com.amazonaws.sagemaker#Timestamp", "traits": { - "smithy.api#documentation": "This value is equivalent to CreationTime because Amazon SageMaker Studio Lifecycle\n Configurations are immutable.
" + "smithy.api#documentation": "This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle\n Configurations are immutable.
" } }, "StudioLifecycleConfigContent": { "target": "com.amazonaws.sagemaker#StudioLifecycleConfigContent", "traits": { - "smithy.api#documentation": "The content of your Amazon SageMaker Studio Lifecycle Configuration script.
" + "smithy.api#documentation": "The content of your Amazon SageMaker AI Studio Lifecycle Configuration script.
" } }, "StudioLifecycleConfigAppType": { @@ -28225,7 +28388,7 @@ "ExecutionRoleIdentityConfig": { "target": "com.amazonaws.sagemaker#ExecutionRoleIdentityConfig", "traits": { - "smithy.api#documentation": "The configuration for attaching a SageMaker user profile name to the execution\n role as a sts:SourceIdentity key.
" + "smithy.api#documentation": "The configuration for attaching a SageMaker AI user profile name to the execution\n role as a sts:SourceIdentity key.
" } }, "DockerSettings": { @@ -28257,7 +28420,7 @@ "ExecutionRoleIdentityConfig": { "target": "com.amazonaws.sagemaker#ExecutionRoleIdentityConfig", "traits": { - "smithy.api#documentation": "The configuration for attaching a SageMaker user profile name to the execution\n role as a sts:SourceIdentity key. This configuration can only be modified if there are no\n apps in the InService or Pending state.
The configuration for attaching a SageMaker AI user profile name to the execution\n role as a sts:SourceIdentity key. This configuration can only be modified if there are no\n apps in the InService or Pending state.
A file system, created by you in Amazon EFS, that you assign to a user profile or\n space for an Amazon SageMaker Domain. Permitted users can access this file system in\n Amazon SageMaker Studio.
" + "smithy.api#documentation": "A file system, created by you in Amazon EFS, that you assign to a user profile or\n space for an Amazon SageMaker AI Domain. Permitted users can access this file system in\n Amazon SageMaker AI Studio.
" } }, "com.amazonaws.sagemaker#EFSFileSystemConfig": { @@ -28522,12 +28685,12 @@ "FileSystemPath": { "target": "com.amazonaws.sagemaker#FileSystemPath", "traits": { - "smithy.api#documentation": "The path to the file system directory that is accessible in Amazon SageMaker Studio.\n Permitted users can access only this directory and below.
" + "smithy.api#documentation": "The path to the file system directory that is accessible in Amazon SageMaker AI Studio.\n Permitted users can access only this directory and below.
" } } }, "traits": { - "smithy.api#documentation": "The settings for assigning a custom Amazon EFS file system to a user profile or\n space for an Amazon SageMaker Domain.
" + "smithy.api#documentation": "The settings for assigning a custom Amazon EFS file system to a user profile or\n space for an Amazon SageMaker AI Domain.
" } }, "com.amazonaws.sagemaker#EMRStepMetadata": { @@ -31099,7 +31262,7 @@ } }, "traits": { - "smithy.api#documentation": "The Amazon Elastic File System storage configuration for a SageMaker image.
" + "smithy.api#documentation": "The Amazon Elastic File System storage configuration for a SageMaker AI image.
" } }, "com.amazonaws.sagemaker#FileSystemDataSource": { @@ -34411,7 +34574,7 @@ } }, "traits": { - "smithy.api#documentation": "A SageMaker image. A SageMaker image represents a set of container images that are derived from\n a common base container image. Each of these container images is represented by a SageMaker\n ImageVersion.
A SageMaker AI image. A SageMaker AI image represents a set of container images that are derived from\n a common base container image. Each of these container images is represented by a SageMaker AI\n ImageVersion.
A version of a SageMaker Image. A version represents an existing container\n image.
A version of a SageMaker AI Image. A version represents an existing container\n image.
The name of an existing SageMaker model object in your account that you want to\n deploy with the inference component.
" + "smithy.api#documentation": "The name of an existing SageMaker AI model object in your account that you want to\n deploy with the inference component.
" } }, "Container": { @@ -35197,7 +35360,7 @@ "ModelName": { "target": "com.amazonaws.sagemaker#ModelName", "traits": { - "smithy.api#documentation": "The name of the SageMaker model object that is deployed with the inference\n component.
" + "smithy.api#documentation": "The name of the SageMaker AI model object that is deployed with the inference\n component.
" } }, "Container": { @@ -37493,7 +37656,7 @@ } }, "traits": { - "smithy.api#documentation": "The configuration for the file system and kernels in a SageMaker image running as a JupyterLab app. The FileSystemConfig object is not supported.
The configuration for the file system and kernels in a SageMaker AI image running as a JupyterLab app. The FileSystemConfig object is not supported.
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app. If you use the\n LifecycleConfigArns parameter, then this parameter is also required.
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the\n LifecycleConfigArns parameter, then this parameter is also required.
A list of Git repositories that SageMaker automatically displays to users for\n cloning in the JupyterServer application.
" + "smithy.api#documentation": "A list of Git repositories that SageMaker AI automatically displays to users for\n cloning in the JupyterServer application.
" } } }, @@ -37608,13 +37771,13 @@ "DefaultResourceSpec": { "target": "com.amazonaws.sagemaker#ResourceSpec", "traits": { - "smithy.api#documentation": "The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.
\nThe Amazon SageMaker Studio UI does not use the default instance type value set\n here. The default instance type set here is used when Apps are created using the CLI or CloudFormation and the instance type parameter value is not\n passed.
\nThe default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.
\nThe Amazon SageMaker AI Studio UI does not use the default instance type value set\n here. The default instance type set here is used when Apps are created using the CLI or CloudFormation and the instance type parameter value is not\n passed.
\nA list of custom SageMaker images that are configured to run as a KernelGateway\n app.
" + "smithy.api#documentation": "A list of custom SageMaker AI images that are configured to run as a KernelGateway\n app.
" } }, "LifecycleConfigArns": { @@ -37642,12 +37805,12 @@ "FileSystemConfig": { "target": "com.amazonaws.sagemaker#FileSystemConfig", "traits": { - "smithy.api#documentation": "The Amazon Elastic File System storage configuration for a SageMaker image.
" + "smithy.api#documentation": "The Amazon Elastic File System storage configuration for a SageMaker AI image.
" } } }, "traits": { - "smithy.api#documentation": "The configuration for the file system and kernels in a SageMaker image running as a\n KernelGateway app.
" + "smithy.api#documentation": "The configuration for the file system and kernels in a SageMaker AI image running as a\n KernelGateway app.
" } }, "com.amazonaws.sagemaker#KernelName": { @@ -38701,7 +38864,7 @@ "SageMakerImageVersionAliases": { "target": "com.amazonaws.sagemaker#SageMakerImageVersionAliases", "traits": { - "smithy.api#documentation": "A list of SageMaker image version aliases.
" + "smithy.api#documentation": "A list of SageMaker AI image version aliases.
" } }, "NextToken": { @@ -39817,7 +39980,7 @@ "NextToken": { "target": "com.amazonaws.sagemaker#NextToken", "traits": { - "smithy.api#documentation": "If the response is truncated, Amazon SageMaker returns this NextToken. To retrieve\n the next set of model compilation jobs, use this token in the next request.
If the response is truncated, Amazon SageMaker AI returns this NextToken. To retrieve\n the next set of model compilation jobs, use this token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the\n next set of model quality monitoring job definitions, use it in the next request.
" + "smithy.api#documentation": "If the response is truncated, Amazon SageMaker AI returns this token. To retrieve the\n next set of model quality monitoring job definitions, use it in the next request.
" } } }, @@ -44220,7 +44383,7 @@ "NextToken": { "target": "com.amazonaws.sagemaker#NextToken", "traits": { - "smithy.api#documentation": "If the response is truncated, SageMaker returns this token. To get the next\n set of lifecycle configurations, use it in the next request.
" + "smithy.api#documentation": "If the response is truncated, SageMaker AI returns this token. To get the next\n set of lifecycle configurations, use it in the next request.
" } }, "NotebookInstanceLifecycleConfigs": { @@ -44243,7 +44406,7 @@ "target": "com.amazonaws.sagemaker#ListNotebookInstancesOutput" }, "traits": { - "smithy.api#documentation": "Returns a list of the SageMaker notebook instances in the requester's\n account in an Amazon Web Services Region.
", + "smithy.api#documentation": "Returns a list of the SageMaker AI notebook instances in the requester's\n account in an Amazon Web Services Region.
", "smithy.api#paginated": { "inputToken": "NextToken", "outputToken": "NextToken", @@ -44344,7 +44507,7 @@ "NextToken": { "target": "com.amazonaws.sagemaker#NextToken", "traits": { - "smithy.api#documentation": "If the response to the previous ListNotebookInstances request was\n truncated, SageMaker returns this token. To retrieve the next set of notebook\n instances, use the token in the next request.
If the response to the previous ListNotebookInstances request was\n truncated, SageMaker AI returns this token. To retrieve the next set of notebook\n instances, use the token in the next request.
Lists the Amazon SageMaker Studio Lifecycle Configurations in your Amazon Web Services\n Account.
", + "smithy.api#documentation": "Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services\n Account.
", "smithy.api#paginated": { "inputToken": "NextToken", "outputToken": "NextToken", @@ -47093,12 +47256,6 @@ "smithy.api#enumValue": "PerformanceEvaluation" } }, - "HYPER_POD_CLUSTERS": { - "target": "smithy.api#Unit", - "traits": { - "smithy.api#enumValue": "HyperPodClusters" - } - }, "LAKERA_GUARD": { "target": "smithy.api#Unit", "traits": { @@ -47122,6 +47279,12 @@ "traits": { "smithy.api#enumValue": "Fiddler" } + }, + "HYPER_POD_CLUSTERS": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "HyperPodClusters" + } } } }, @@ -50184,7 +50347,7 @@ "VolumeKmsKeyId": { "target": "com.amazonaws.sagemaker#KmsKeyId", "traits": { - "smithy.api#documentation": "The Key Management Service (KMS) key that Amazon SageMaker uses to\n encrypt data on the storage volume attached to the ML compute instance(s) that run the\n model monitoring job.
" + "smithy.api#documentation": "The Key Management Service (KMS) key that Amazon SageMaker AI uses to\n encrypt data on the storage volume attached to the ML compute instance(s) that run the\n model monitoring job.
" } } }, @@ -50457,7 +50620,7 @@ "target": "com.amazonaws.sagemaker#MonitoringInputs", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.
", + "smithy.api#documentation": "The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.
", "smithy.api#required": {} } }, @@ -50507,7 +50670,7 @@ "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can \n assume to perform tasks on your behalf.
", + "smithy.api#documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can \n assume to perform tasks on your behalf.
", "smithy.api#required": {} } } @@ -50675,7 +50838,7 @@ "KmsKeyId": { "target": "com.amazonaws.sagemaker#KmsKeyId", "traits": { - "smithy.api#documentation": "The Key Management Service (KMS) key that Amazon SageMaker uses to\n encrypt the model artifacts at rest using Amazon S3 server-side encryption.
" + "smithy.api#documentation": "The Key Management Service (KMS) key that Amazon SageMaker AI uses to\n encrypt the model artifacts at rest using Amazon S3 server-side encryption.
" } } }, @@ -50748,7 +50911,7 @@ "target": "com.amazonaws.sagemaker#MonitoringS3Uri", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "A URI that identifies the Amazon S3 storage location where Amazon SageMaker\n saves the results of a monitoring job.
", + "smithy.api#documentation": "A URI that identifies the Amazon S3 storage location where Amazon SageMaker AI\n saves the results of a monitoring job.
", "smithy.api#required": {} } }, @@ -50756,7 +50919,7 @@ "target": "com.amazonaws.sagemaker#ProcessingLocalPath", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The local path to the Amazon S3 storage location where Amazon SageMaker\n saves the results of a monitoring job. LocalPath is an absolute path for the output\n data.
", + "smithy.api#documentation": "The local path to the Amazon S3 storage location where Amazon SageMaker AI\n saves the results of a monitoring job. LocalPath is an absolute path for the output\n data.
", "smithy.api#required": {} } }, @@ -51126,7 +51289,7 @@ } }, "traits": { - "smithy.api#documentation": "The VpcConfig configuration object that specifies the VPC that you want the\n compilation jobs to connect to. For more information on controlling access to your Amazon S3\n buckets used for compilation job, see Give Amazon SageMaker Compilation Jobs Access to\n Resources in Your Amazon VPC.
" + "smithy.api#documentation": "The VpcConfig configuration object that specifies the VPC that you want the\n compilation jobs to connect to. For more information on controlling access to your Amazon S3\n buckets used for compilation job, see Give Amazon SageMaker AI Compilation Jobs Access to\n Resources in Your Amazon VPC.
" } }, "com.amazonaws.sagemaker#NeoVpcSecurityGroupId": { @@ -51633,18 +51796,18 @@ "DefaultCodeRepository": { "target": "com.amazonaws.sagemaker#CodeRepositoryNameOrUrl", "traits": { - "smithy.api#documentation": "The Git repository associated with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "The Git repository associated with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker AI Notebook Instances.
" } }, "AdditionalCodeRepositories": { "target": "com.amazonaws.sagemaker#AdditionalCodeRepositoryNamesOrUrls", "traits": { - "smithy.api#documentation": "An array of up to three Git repositories associated with the notebook instance. These\n can be either the names of Git repositories stored as resources in your account, or the\n URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "An array of up to three Git repositories associated with the notebook instance. These\n can be either the names of Git repositories stored as resources in your account, or the\n URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker AI Notebook Instances.
" } } }, "traits": { - "smithy.api#documentation": "Provides summary information for an SageMaker notebook instance.
" + "smithy.api#documentation": "Provides summary information for an SageMaker AI notebook instance.
" } }, "com.amazonaws.sagemaker#NotebookInstanceSummaryList": { @@ -52757,7 +52920,7 @@ "target": "com.amazonaws.sagemaker#S3Uri", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For\n example, s3://bucket-name/key-name-prefix.
Identifies the S3 bucket where you want Amazon SageMaker AI to store the model artifacts. For\n example, s3://bucket-name/key-name-prefix.
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker\n uses to encrypt your output models with Amazon S3 server-side encryption after compilation\n job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your\n role's account. For more information, see KMS-Managed Encryption\n Keys in the Amazon Simple Storage Service Developer\n Guide.\n
\nThe KmsKeyId can be any of the following formats:
\nKey ID: 1234abcd-12ab-34cd-56ef-1234567890ab\n
Key ARN:\n arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\n
Alias name: alias/ExampleAlias\n
Alias name ARN:\n arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\n
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker AI\n uses to encrypt your output models with Amazon S3 server-side encryption after compilation\n job. If you don't provide a KMS key ID, Amazon SageMaker AI uses the default KMS key for Amazon S3 for your\n role's account. For more information, see KMS-Managed Encryption\n Keys in the Amazon Simple Storage Service Developer\n Guide.\n
\nThe KmsKeyId can be any of the following formats:
\nKey ID: 1234abcd-12ab-34cd-56ef-1234567890ab\n
Key ARN:\n arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\n
Alias name: alias/ExampleAlias\n
Alias name ARN:\n arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\n
A list of custom SageMaker images that are configured to run as a RSession\n app.
" + "smithy.api#documentation": "A list of custom SageMaker AI images that are configured to run as a RSession\n app.
" } } }, @@ -59992,7 +60155,7 @@ "SageMakerImageArn": { "target": "com.amazonaws.sagemaker#ImageArn", "traits": { - "smithy.api#documentation": "The ARN of the SageMaker image that the image version belongs to.
" + "smithy.api#documentation": "The ARN of the SageMaker AI image that the image version belongs to.
" } }, "SageMakerImageVersionArn": { @@ -60021,7 +60184,7 @@ } }, "traits": { - "smithy.api#documentation": "Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that\n the version runs on.
" + "smithy.api#documentation": "Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that\n the version runs on.
" } }, "com.amazonaws.sagemaker#ResourceType": { @@ -62905,7 +63068,7 @@ "target": "com.amazonaws.sagemaker#ScheduleExpression", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "A cron expression that describes details about the monitoring schedule.
\nThe supported cron expressions are:
\nIf you want to set the job to start every hour, use the following:
\n\n Hourly: cron(0 * ? * * *)\n
If you want to start the job daily:
\n\n cron(0 [00-23] ? * * *)\n
If you want to run the job one time, immediately, use the following\n keyword:
\n\n NOW\n
For example, the following are valid cron expressions:
\nDaily at noon UTC: cron(0 12 ? * * *)\n
Daily at midnight UTC: cron(0 0 ? * * *)\n
To support running every 6, 12 hours, the following are also supported:
\n\n cron(0 [00-23]/[01-24] ? * * *)\n
For example, the following are valid cron expressions:
\nEvery 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)\n
Every two hours starting at midnight: cron(0 0/2 ? * * *)\n
Even though the cron expression is set to start at 5PM UTC, note that there\n could be a delay of 0-20 minutes from the actual requested time to run the\n execution.
\nWe recommend that if you would like a daily schedule, you do not provide this\n parameter. Amazon SageMaker will pick a time for running every day.
\nYou can also specify the keyword NOW to run the monitoring job immediately,\n one time, without recurring.
A cron expression that describes details about the monitoring schedule.
\nThe supported cron expressions are:
\nIf you want to set the job to start every hour, use the following:
\n\n Hourly: cron(0 * ? * * *)\n
If you want to start the job daily:
\n\n cron(0 [00-23] ? * * *)\n
If you want to run the job one time, immediately, use the following\n keyword:
\n\n NOW\n
For example, the following are valid cron expressions:
\nDaily at noon UTC: cron(0 12 ? * * *)\n
Daily at midnight UTC: cron(0 0 ? * * *)\n
To support running every 6, 12 hours, the following are also supported:
\n\n cron(0 [00-23]/[01-24] ? * * *)\n
For example, the following are valid cron expressions:
\nEvery 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)\n
Every two hours starting at midnight: cron(0 0/2 ? * * *)\n
Even though the cron expression is set to start at 5PM UTC, note that there\n could be a delay of 0-20 minutes from the actual requested time to run the\n execution.
\nWe recommend that if you would like a daily schedule, you do not provide this\n parameter. Amazon SageMaker AI will pick a time for running every day.
\nYou can also specify the keyword NOW to run the monitoring job immediately,\n one time, without recurring.
Specifies options for sharing Amazon SageMaker Studio notebooks. These settings are\n specified as part of DefaultUserSettings when the CreateDomain API\n is called, and as part of UserSettings when the CreateUserProfile\n API is called. When SharingSettings is not specified, notebook sharing isn't\n allowed.
Specifies options for sharing Amazon SageMaker AI Studio notebooks. These settings are\n specified as part of DefaultUserSettings when the CreateDomain API\n is called, and as part of UserSettings when the CreateUserProfile\n API is called. When SharingSettings is not specified, notebook sharing isn't\n allowed.
The type of app created within the space.
" + "smithy.api#documentation": "The type of app created within the space.
\nIf using the \n UpdateSpace API, you can't change the app type of your\n space by specifying a different value for this field.
" } }, "SpaceStorageSettings": { @@ -64678,7 +64841,7 @@ "CustomFileSystems": { "target": "com.amazonaws.sagemaker#CustomFileSystems", "traits": { - "smithy.api#documentation": "A file system, created by you, that you assign to a space for an Amazon SageMaker\n Domain. Permitted users can access this file system in Amazon SageMaker Studio.
" + "smithy.api#documentation": "A file system, created by you, that you assign to a space for an Amazon SageMaker AI\n Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
" } } }, @@ -65125,7 +65288,7 @@ } ], "traits": { - "smithy.api#documentation": "Launches an ML compute instance with the latest version of the libraries and\n attaches your ML storage volume. After configuring the notebook instance, SageMaker sets the notebook instance status to InService. A notebook\n instance's status must be InService before you can connect to your Jupyter\n notebook.
Launches an ML compute instance with the latest version of the libraries and\n attaches your ML storage volume. After configuring the notebook instance, SageMaker AI sets the notebook instance status to InService. A notebook\n instance's status must be InService before you can connect to your Jupyter\n notebook.
Stops a model compilation job.
\nTo stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the\n job down. If the job hasn't stopped, it sends the SIGKILL signal.
\nWhen it receives a StopCompilationJob request, Amazon SageMaker changes the\n CompilationJobStatus of the job to Stopping. After Amazon\n SageMaker stops the job, it sets the CompilationJobStatus to\n Stopped.
Stops a model compilation job.
\nTo stop a job, Amazon SageMaker AI sends the algorithm the SIGTERM signal. This gracefully shuts the\n job down. If the job hasn't stopped, it sends the SIGKILL signal.
\nWhen it receives a StopCompilationJob request, Amazon SageMaker AI changes the\n CompilationJobStatus of the job to Stopping. After Amazon\n SageMaker stops the job, it sets the CompilationJobStatus to\n Stopped.
Terminates the ML compute instance. Before terminating the instance, SageMaker disconnects the ML storage volume from it. SageMaker preserves the\n ML storage volume. SageMaker stops charging you for the ML compute instance when\n you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been\n terminated, call the StartNotebookInstance API.\n StartNotebookInstance launches another ML compute instance, configures\n it, and attaches the preserved ML storage volume so you can continue your work.\n
Terminates the ML compute instance. Before terminating the instance, SageMaker AI disconnects the ML storage volume from it. SageMaker AI preserves the\n ML storage volume. SageMaker AI stops charging you for the ML compute instance when\n you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been\n terminated, call the StartNotebookInstance API.\n StartNotebookInstance launches another ML compute instance, configures\n it, and attaches the preserved ML storage volume so you can continue your work.\n
The name of the Amazon SageMaker Studio Lifecycle Configuration.
" + "smithy.api#documentation": "The name of the Amazon SageMaker AI Studio Lifecycle Configuration.
" } }, "CreationTime": { "target": "com.amazonaws.sagemaker#Timestamp", "traits": { - "smithy.api#documentation": "The creation time of the Amazon SageMaker Studio Lifecycle Configuration.
" + "smithy.api#documentation": "The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.
" } }, "LastModifiedTime": { "target": "com.amazonaws.sagemaker#Timestamp", "traits": { - "smithy.api#documentation": "This value is equivalent to CreationTime because Amazon SageMaker Studio Lifecycle\n Configurations are immutable.
" + "smithy.api#documentation": "This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle\n Configurations are immutable.
" } }, "StudioLifecycleConfigAppType": { @@ -66186,7 +66349,7 @@ } }, "traits": { - "smithy.api#documentation": "Details of the Amazon SageMaker Studio Lifecycle Configuration.
" + "smithy.api#documentation": "Details of the Amazon SageMaker AI Studio Lifecycle Configuration.
" } }, "com.amazonaws.sagemaker#StudioLifecycleConfigName": { @@ -67047,7 +67210,7 @@ "DefaultResourceSpec": { "target": "com.amazonaws.sagemaker#ResourceSpec", "traits": { - "smithy.api#documentation": "The default instance type and the Amazon Resource Name (ARN) of the SageMaker\n image created on the instance.
" + "smithy.api#documentation": "The default instance type and the Amazon Resource Name (ARN) of the SageMaker AI\n image created on the instance.
" } } }, @@ -70268,6 +70431,18 @@ "smithy.api#enumValue": "ml.g5.48xlarge" } }, + "ML_TRN1_2XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.trn1.2xlarge" + } + }, + "ML_TRN1_32XLARGE": { + "target": "smithy.api#Unit", + "traits": { + "smithy.api#enumValue": "ml.trn1.32xlarge" + } + }, "ML_INF2_XLARGE": { "target": "smithy.api#Unit", "traits": { @@ -72420,7 +72595,7 @@ "AppNetworkAccessType": { "target": "com.amazonaws.sagemaker#AppNetworkAccessType", "traits": { - "smithy.api#documentation": "Specifies the VPC used for non-EFS traffic.
\n\n PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet access.
\n VpcOnly - All Studio traffic is through the specified VPC and\n subnets.
This configuration can only be modified if there are no apps in the\n InService, Pending, or Deleting state. The\n configuration cannot be updated if\n DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is already\n set or DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is\n provided as part of the same request.
Specifies the VPC used for non-EFS traffic.
\n\n PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access.
\n VpcOnly - All Studio traffic is through the specified VPC and\n subnets.
This configuration can only be modified if there are no apps in the\n InService, Pending, or Deleting state. The\n configuration cannot be updated if\n DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is already\n set or DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is\n provided as part of the same request.
Updates the properties of a SageMaker image. To change the image's tags, use the\n AddTags and DeleteTags APIs.
" + "smithy.api#documentation": "Updates the properties of a SageMaker AI image. To change the image's tags, use the\n AddTags and DeleteTags APIs.
" } }, "com.amazonaws.sagemaker#UpdateImageRequest": { @@ -72893,7 +73068,7 @@ "RoleArn": { "target": "com.amazonaws.sagemaker#RoleArn", "traits": { - "smithy.api#documentation": "The new ARN for the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
" + "smithy.api#documentation": "The new ARN for the IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
" } } }, @@ -72932,7 +73107,7 @@ } ], "traits": { - "smithy.api#documentation": "Updates the properties of a SageMaker image version.
" + "smithy.api#documentation": "Updates the properties of a SageMaker AI image version.
" } }, "com.amazonaws.sagemaker#UpdateImageVersionRequest": { @@ -72979,7 +73154,7 @@ "JobType": { "target": "com.amazonaws.sagemaker#JobType", "traits": { - "smithy.api#documentation": "Indicates SageMaker job type compatibility.
\n\n TRAINING: The image version is compatible with SageMaker training jobs.
\n INFERENCE: The image version is compatible with SageMaker inference jobs.
\n NOTEBOOK_KERNEL: The image version is compatible with SageMaker notebook kernels.
Indicates SageMaker AI job type compatibility.
\n\n TRAINING: The image version is compatible with SageMaker AI training jobs.
\n INFERENCE: The image version is compatible with SageMaker AI inference jobs.
\n NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to\n access the notebook instance. For more information, see SageMaker Roles.
\nTo be able to pass this role to SageMaker, the caller of this API must\n have the iam:PassRole permission.
The Amazon Resource Name (ARN) of the IAM role that SageMaker AI can assume to\n access the notebook instance. For more information, see SageMaker AI Roles.
\nTo be able to pass this role to SageMaker AI, the caller of this API must\n have the iam:PassRole permission.
The size, in GB, of the ML storage volume to attach to the notebook instance. The\n default value is 5 GB. ML storage volumes are encrypted, so SageMaker can't\n determine the amount of available free space on the volume. Because of this, you can\n increase the volume size when you update a notebook instance, but you can't decrease the\n volume size. If you want to decrease the size of the ML storage volume in use, create a\n new notebook instance with the desired size.
" + "smithy.api#documentation": "The size, in GB, of the ML storage volume to attach to the notebook instance. The\n default value is 5 GB. ML storage volumes are encrypted, so SageMaker AI can't\n determine the amount of available free space on the volume. Because of this, you can\n increase the volume size when you update a notebook instance, but you can't decrease the\n volume size. If you want to decrease the size of the ML storage volume in use, create a\n new notebook instance with the desired size.
" } }, "DefaultCodeRepository": { "target": "com.amazonaws.sagemaker#CodeRepositoryNameOrUrl", "traits": { - "smithy.api#documentation": "The Git repository to associate with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "The Git repository to associate with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker AI Notebook Instances.
" } }, "AdditionalCodeRepositories": { "target": "com.amazonaws.sagemaker#AdditionalCodeRepositoryNamesOrUrls", "traits": { - "smithy.api#documentation": "An array of up to three Git repositories to associate with the notebook instance.\n These can be either the names of Git repositories stored as resources in your account,\n or the URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "An array of up to three Git repositories to associate with the notebook instance.\n These can be either the names of Git repositories stored as resources in your account,\n or the URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker AI Notebook Instances.
" } }, "AcceleratorTypes": { @@ -74124,7 +74299,7 @@ } ], "traits": { - "smithy.api#documentation": "Updates the settings of a space.
" + "smithy.api#documentation": "Updates the settings of a space.
\nYou can't edit the app type of a space in the SpaceSettings.
The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for\n communication.
\nOptional when the CreateDomain.AppNetworkAccessType parameter is set to\n PublicInternetOnly.
Required when the CreateDomain.AppNetworkAccessType parameter is set to\n VpcOnly, unless specified as part of the DefaultUserSettings for\n the domain.
Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the\n maximum number shown.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" + "smithy.api#documentation": "The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for\n communication.
\nOptional when the CreateDomain.AppNetworkAccessType parameter is set to\n PublicInternetOnly.
Required when the CreateDomain.AppNetworkAccessType parameter is set to\n VpcOnly, unless specified as part of the DefaultUserSettings for\n the domain.
Amazon SageMaker AI adds a security group to allow NFS traffic from Amazon SageMaker AI Studio. Therefore, the number of security groups that you can specify is one less than the\n maximum number shown.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" } }, "SharingSettings": { "target": "com.amazonaws.sagemaker#SharingSettings", "traits": { - "smithy.api#documentation": "Specifies options for sharing Amazon SageMaker Studio notebooks.
" + "smithy.api#documentation": "Specifies options for sharing Amazon SageMaker AI Studio notebooks.
" } }, "JupyterServerAppSettings": { @@ -74892,7 +75067,7 @@ "CustomFileSystemConfigs": { "target": "com.amazonaws.sagemaker#CustomFileSystemConfigs", "traits": { - "smithy.api#documentation": "The settings for assigning a custom file system to a user profile. Permitted users can\n access this file system in Amazon SageMaker Studio.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" + "smithy.api#documentation": "The settings for assigning a custom file system to a user profile. Permitted users can\n access this file system in Amazon SageMaker AI Studio.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" } }, "StudioWebPortalSettings": {