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Merge pull request #19369 from p1-0tr/ps-fix-engine-gpu-guide 

Fix engine NVIDIA GPU guide
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David Karlsson 2024-02-12 08:47:37 +01:00 committed by GitHub
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content/config/containers/resource_constraints.md
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@ -273,22 +273,9 @@ done so.
Verify that your GPU is running and accessible.
#### Install nvidia-container-runtime
#### Install nvidia-container-toolkit
Follow the instructions at (https://nvidia.github.io/nvidia-container-runtime/)
and then run this command:
```console
$ apt-get install nvidia-container-runtime
```
Ensure the `nvidia-container-runtime-hook` is accessible from `$PATH`.
```console
$ which nvidia-container-runtime-hook
```
Restart the Docker daemon.
Follow the official NVIDIA Container Toolkit [installation instructions](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
#### Expose GPUs for use
@ -350,10 +337,10 @@ This enables the `utility` driver capability which adds the `nvidia-smi` tool to
the container.
Capabilities as well as other configurations can be set in images via
environment variables. More information on valid variables can be found at the
[nvidia-container-runtime](https://github.com/NVIDIA/nvidia-container-runtime)
GitHub page. These variables can be set in a Dockerfile.
environment variables. More information on valid variables can be found in the
[nvidia-container-toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html)
documentation. These variables can be set in a Dockerfile.
You can also use CUDA images which sets these variables automatically. See the
[CUDA images](https://github.com/NVIDIA/nvidia-docker/wiki/CUDA) GitHub page
for more information.
official [CUDA images](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda)
NGC catalog page.