Practical notes for GPU kernel dev setup

An r/MachineLearning post collects setup pitfalls for GPU kernel development: CUDA 13 drops Maxwell, Pascal and Volta, so toolkits must match compute capability; PyTorch's bundled CUDA runtime says nothing about nvcc availability; and GPU launches are async, so naive timing measures queueing and requires warmup, sync and CUDA events.

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