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Update docs/installation/030_INSTALL_CUDA_AND_ROCM.md

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Co-authored-by: Eugene Brodsky <ebr@users.noreply.github.com>
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Lincoln Stein 2023-02-08 12:46:36 -05:00 committed by GitHub
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@ -49,10 +49,10 @@ running `nvidia-smi` from the command line.
### Linux Install with a Runtime Container ### Linux Install with a Runtime Container
On Linux systems, an alternative to installing the driver directly on On Linux systems, an alternative to installing CUDA Toolkit directly on
your system is to run an NVIDIA software container that has the driver your system is to run an NVIDIA software container that has the CUDA
already in place. This is recommended if you are already familiar with libraries already in place. This is recommended if you are already
containerization technologies such as Docker. familiar with containerization technologies such as Docker.
For downloads and instructions, visit the [NVIDIA CUDA Container For downloads and instructions, visit the [NVIDIA CUDA Container
Runtime Site](https://developer.nvidia.com/nvidia-container-runtime) Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)