Branch 21.10 FAQ update forward compatibility, update Spark and CUDA versions #3308
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Signed-off-by: Sameer Raheja <[email protected]>
Signed-off-by: Sameer Raheja <[email protected]>
mythrocks
reviewed
Aug 25, 2021
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| ### What hardware is supported? | ||
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| The plugin is tested and supported on V100, T4, A10, A30 and A100 datacenter GPUs. It is possible | ||
| to run the plugin on GeForce desktop hardware with Volta or better architectures. GeForce hardware | ||
| does not support [CUDA enhanced | ||
| compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#enhanced-compat-minor-releases), | ||
| does not support [CUDA forward |
jlowe
reviewed
Aug 25, 2021
mythrocks
reviewed
Aug 25, 2021
mythrocks
reviewed
Aug 25, 2021
| @@ -30,15 +30,15 @@ to set up testing and validation on their distributions. | |||
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| ### What CUDA versions are supported? | |||
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| CUDA 11.0 and 11.2 are currently supported. Please look [here](download.md) for download links for | |||
| the latest release. | |||
| CUDA 11.x is currently supported. Please look [here](download.md) for download links for the latest | |||
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I was going to ask if we should retain the old phrasing here, for fear of 11.1. But it appears the CUDF docs mention 11.x.
👍
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The cudf team seems to fix any compiling issue for CUDA 11.X. If there is any problem, just report them. I just did once for CUDA 11.0 which is now fixed (rapidsai/cudf#9028).
Fix compatibility spelling Co-authored-by: Jason Lowe <[email protected]>
Add a comma Co-authored-by: MithunR <[email protected]>
jlowe
approved these changes
Aug 25, 2021
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ttnghia
reviewed
Aug 26, 2021
| @@ -30,15 +30,15 @@ to set up testing and validation on their distributions. | |||
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| ### What CUDA versions are supported? | |||
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| CUDA 11.0 and 11.2 are currently supported. Please look [here](download.md) for download links for | |||
| the latest release. | |||
| CUDA 11.x is currently supported. Please look [here](download.md) for download links for the latest | |||
There was a problem hiding this comment.
Suggested change
| CUDA 11.x is currently supported. Please look [here](download.md) for download links for the latest | |
| CUDA 11.x is currently supported. Please look [here](download.md) for download links for the latest |
| @@ -30,15 +30,15 @@ to set up testing and validation on their distributions. | |||
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| ### What CUDA versions are supported? | |||
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| CUDA 11.0 and 11.2 are currently supported. Please look [here](download.md) for download links for | |||
| the latest release. | |||
| CUDA 11.x is currently supported. Please look [here](download.md) for download links for the latest | |||
There was a problem hiding this comment.
The cudf team seems to fix any compiling issue for CUDA 11.X. If there is any problem, just report them. I just did once for CUDA 11.0 which is now fixed (rapidsai/cudf#9028).
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| The plugin is tested and supported on V100, T4, A10, A30 and A100 datacenter GPUs. It is possible | ||
| to run the plugin on GeForce desktop hardware with Volta or better architectures. GeForce hardware |
There was a problem hiding this comment.
Suggested change
| The plugin is tested and supported on V100, T4, A10, A30 and A100 datacenter GPUs. It is possible | |
| to run the plugin on GeForce desktop hardware with Volta or better architectures. GeForce hardware | |
| The plugin is tested and supported on V100, T4, A10, A30 and A100 datacenter GPUs. It is possible | |
| to run the plugin on GeForce desktop hardware with Volta or better architectures. GeForce hardware |
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We will work on the spaces issue that @ttnghia brought up in a future PR. |
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Updated FAQ to correct support for forward compatibility. Updated Spark and CUDA versions as of today, will update again when Spark 3.2 is supported.