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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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docs/installation/030_INSTALL_CUDA_AND_ROCM.md
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@ -49,10 +49,10 @@ running `nvidia-smi` from the command line.
### Linux Install with a Runtime Container
On Linux systems, an alternative to installing the driver directly on
your system is to run an NVIDIA software container that has the driver
already in place. This is recommended if you are already familiar with
containerization technologies such as Docker.
On Linux systems, an alternative to installing CUDA Toolkit directly on
your system is to run an NVIDIA software container that has the CUDA
libraries already in place. This is recommended if you are already
familiar with containerization technologies such as Docker.
For downloads and instructions, visit the [NVIDIA CUDA Container
Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)