Any modern tips / life hacks for this situation?
λ uv venv && uv pip install torch --torch-backend=auto
λ uv run python -c 'import torch; print(torch.cuda.is_available())'
True
https://cloud.google.com/compute/docs/gpus/install-drivers-g... (NOTE: not gcloud specific)
They are a little more focus on scientific computing than uv, which is more general. They might be a better option in your case.
This is in a conventional HPC environment, and I’ve found it way better than conda since the dependency solves are so much faster and I no longer experience PyTorch silently getting downgraded to cpu version of I install a new library. Maybe I’ve been using conda poorly though?
jessekv•7mo ago
https://joearms.github.io/#2013-11-21%20My%20favorite%20Erla...