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Instructions on how to configure Docker to run with GPU: https://blog.tteles.dev/posts/gpu-tensorflow-pytorch-cuda-wsl/

Building the image for Windows & CUDA:

docker build -t rafall-rak/msi2-gpu:1.3 -f Dockerfile-cuda .

Building generic image:

docker build -t rafall-rak/msi2:1.3 -f Dockerfile-generic .

TODO: Set up UV environment with Jupyter with access to metal API.

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