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Update installation docs for CUDA 12. #4207

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Mar 4, 2024
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Update installation docs for CUDA 12. #4207

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20 changes: 15 additions & 5 deletions docs/cugraph/source/installation/getting_cugraph.md
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Expand Up @@ -15,7 +15,7 @@ There are 4 ways to get cuGraph packages:
<br>

## Docker
The RAPIDS Docker containers contain all RAPIDS packages, including all from cuGraph, as well as all required supporting packages. To download a container, please see the [Docker Repository](https://hub.docker.com/r/rapidsai/rapidsai/), choosing a tag based on the NVIDIA CUDA version you’re running. This provides a ready to run Docker container with example notebooks and data, showcasing how you can utilize all of the RAPIDS libraries: cuDF, cuML, and cuGraph.
The RAPIDS Docker containers contain all RAPIDS packages, including all from cuGraph, as well as all required supporting packages. To download a RAPIDS container, please see the [Docker Hub page for rapidsai/base](https://hub.docker.com/r/rapidsai/base), choosing a tag based on the NVIDIA CUDA version you're running. Also, the [rapidsai/notebooks](https://hub.docker.com/r/rapidsai/notebooks) container provides a ready to run Docker container with example notebooks and data, showcasing how you can utilize all of the RAPIDS libraries: cuDF, cuML, and cuGraph.

<br>

Expand All @@ -31,28 +31,38 @@ cuGraph Conda packages
* cugraph-service-server
* cugraph-dgl
* cugraph-pyg
* cugraph-equivariant
* nx-cugraph

Replace the package name in the example below to the one you want to install.


Install and update cuGraph using the conda command:

```bash
conda install -c rapidsai -c conda-forge -c nvidia cugraph cudatoolkit=11.8
conda install -c rapidsai -c conda-forge -c nvidia cugraph cuda-version=12.0
```

Note: This conda installation only applies to Linux and Python versions 3.8/3.10.
Alternatively, use `cuda-version=11.8` for packages supporting CUDA 11.

Note: This conda installation only applies to Linux and Python versions 3.9/3.10.
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Note: This conda installation only applies to Linux and Python versions 3.9/3.10.
Note: This conda installation only applies to Linux and Python versions 3.9/3.10/3.11.

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Submitted in PR: #4213


<br>

## PIP
cuGraph, and all of RAPIDS, is available via pip.

```
pip install cugraph-cu11 --extra-index-url=https://pypi.ngc.nvidia.com
pip install cugraph-cu12 --extra-index-url=https://pypi.ngc.nvidia.com
```

pip packages for other packages are being worked and should be available in early 2023
Replace `-cu12` with `-cu11` for packages supporting CUDA 11.

Also available:
* cugraph-dgl-cu12
* cugraph-pyg-cu12
* cugraph-equivariant-cu12
* nx-cugraph-cu12

<br>

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