mirror of https://github.com/docker/docs.git
Fix engine NVIDIA GPU guide
Our guide on setting up the engine to use NVIDIA GPUs refers to deprecated resources. nvidia-container-runtime has been superseded by nvidia-container-toolkit. So update our docs to reflect that. Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
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@ -273,22 +273,9 @@ done so.
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Verify that your GPU is running and accessible.
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#### Install nvidia-container-runtime
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#### Install nvidia-container-toolkit
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Follow the instructions at (https://nvidia.github.io/nvidia-container-runtime/)
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and then run this command:
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```console
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$ apt-get install nvidia-container-runtime
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```
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Ensure the `nvidia-container-runtime-hook` is accessible from `$PATH`.
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```console
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$ which nvidia-container-runtime-hook
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```
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Restart the Docker daemon.
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Follow the official NVIDIA Container Toolkit [installation instructions](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
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#### Expose GPUs for use
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@ -350,10 +337,10 @@ This enables the `utility` driver capability which adds the `nvidia-smi` tool to
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the container.
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Capabilities as well as other configurations can be set in images via
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environment variables. More information on valid variables can be found at the
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[nvidia-container-runtime](https://github.com/NVIDIA/nvidia-container-runtime)
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GitHub page. These variables can be set in a Dockerfile.
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environment variables. More information on valid variables can be found in the
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[nvidia-container-toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html)
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documentation. These variables can be set in a Dockerfile.
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You can also use CUDA images which sets these variables automatically. See the
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[CUDA images](https://github.com/NVIDIA/nvidia-docker/wiki/CUDA) GitHub page
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for more information.
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official [CUDA images](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda)
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NGC catalog page.
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