TierCheck is a cluster-aware tiered checkpointing system that uses local memory for fast differential recovery and remote persistent storage for base checkpoints to reduce overhead and enable high-frequency checkpointing in LLM training.
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TierCheck: Tiered Checkpointing for Fault Tolerance in Large Language Model Training
TierCheck is a cluster-aware tiered checkpointing system that uses local memory for fast differential recovery and remote persistent storage for base checkpoints to reduce overhead and enable high-frequency checkpointing in LLM training.