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Leto: Fast In-Place Recovery for LLM Training on Surviving Hardware

Kim, Geon-Woo et al.
arXiv (All) · Papers
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Hardware-operable failures (HOFs) interrupt large language model (LLM) training but permit recovery on the same hardware without reset, repair, or replacement. Existing recovery systems nevertheless reload checkpoints, recompute lost progress, and rebuild process state, idling GPUs that could otherw
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