TrainMover achieves ~20s downtime for interruptions in 1024-GPU LLM training via two-phase delta-based communication setup, communication-free sandboxed warmup, and general standby design, projecting 55% reduction in wasted GPU hours.
https://cloud.google.com/blog/topics/systems/ mitigating-power-and-thermal-fluctuations-in-ml-infrastructure
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TrainMover: An Interruption-Resilient Runtime for ML Training
TrainMover achieves ~20s downtime for interruptions in 1024-GPU LLM training via two-phase delta-based communication setup, communication-free sandboxed warmup, and general standby design, projecting 55% reduction in wasted GPU hours.