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The HPC docs would benefit of a general update beyond SLURM which will be tackled by #54
and probably include a Troubleshooting section.
Common problem: There is a challenge with installing CUDA-enabled conda packages of PyTorch (and some other libraries) on CPU-only nodes, often HPC login nodes. This does not affect RAPIDS libraries but it comes up often in RAPIDS+PyTorch envs. Therefore documenting this to have an asset to point people to seems reasonable.
xref: rapidsai/docs#572
The HPC docs would benefit of a general update beyond SLURM which will be tackled by #54
and probably include a Troubleshooting section.
Common problem: There is a challenge with installing CUDA-enabled conda packages of PyTorch (and some other libraries) on CPU-only nodes, often HPC login nodes. This does not affect RAPIDS libraries but it comes up often in RAPIDS+PyTorch envs. Therefore documenting this to have an asset to point people to seems reasonable.
cc: @bdice for visibility
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