TrainMover: An Interruption-Resilient Runtime for ML Training

ChonLam Lao, Jiaqi Gao, Jiamin Cao +13

Large-scale ML training jobs are frequently interrupted by hardware and software anomalies, failures, and management events. Existing solutions like checkpoint-restart or runtime r…