Here I put down the final steps to get PyTorch and fastai working with CUDA support in WSL2. It’s mostly following the NVIDIA guide. But if there is only one thing I can suggest: make sure your environment is using the same CUDA version everywhere. Consistency turns out to be the key here!
Recently, I started a study group to work through the famous MIT 6.824: Distributed Systems together with some friends. The course includes a number of readings that are closely related to the labs.
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