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Design fault-tolerant checkpointing for a 1000-GPU training run. How do you minimize lost work on a failure?

On a thousand GPUs something fails every few hours. The question is not whether you lose a node, but how many GPU-hours you lose when you do. Checkpoint frequency, sharded writes, and fast restart decide that.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

On a thousand GPUs something fails every few hours. The question is not whether you lose a node, but how many GPU-hours you lose when you do. Checkpoint frequency, sharded writes, and fast restart decide that.

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