modal-ml-training
Disconnect-safe patterns for long-running ML training on Modal serverless GPU. Covers the deploy+spawn pattern (survives laptop shutdown/SSH disconnect), checkpoint-resume for preemption recovery, PyTorch/CUDA version pinning, volume reload/commit discipline, and batch parameter sweeps. Use for any training job >30 min where losing progress is expensive. Complements the broader `modal-serverless-gpu` skill.
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- synthetic-sciences/openscience
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3a6c3a9
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