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Forget assuming NaNs and single-bit flips are the main culprits in GPU silent data corruption; this study reveals they're surprisingly rare, demanding a rethink of fault modeling.
Even moderate GPU fault rates can catastrophically derail LLM training, depending on the specific hardware datapath and numerical precision format.
