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docs: update docker and podman anchor on CUDA section

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Rafael Fernández López 2024-10-30 13:43:30 +01:00
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doc/languages-frameworks/cuda.section.md
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@ -150,7 +150,7 @@ All new projects should use the CUDA redistributables available in [`cudaPackage
In the scenario you are unable to run the resulting binary: this is arguably the most complicated as it could be any combination of the previous reasons. This type of failure typically occurs when a library attempts to load or open a library it depends on that it does not declare in its `DT_NEEDED` section. As a first step, ensure that dependencies are patched with [`autoAddDriverRunpath`](https://search.nixos.org/packages?channel=unstable&type=packages&query=autoAddDriverRunpath). Failing that, try running the application with [`nixGL`](https://github.com/guibou/nixGL) or a similar wrapper tool. If that works, it likely means that the application is attempting to load a library that is not in the `RPATH` or `RUNPATH` of the binary.
## Running Docker or Podman containers with CUDA support {#running-docker-or-podman-containers-with-cuda-support}
## Running Docker or Podman containers with CUDA support {#cuda-docker-podman}
It is possible to run Docker or Podman containers with CUDA support. The recommended mechanism to perform this task is to use the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/index.html).