arxiv
PublishedJune 29, 2026 at 4:00 AM
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DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers
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arXiv:2601.16956v1 Announce Type: cross Abstract: The rapid growth of Large Transformer-based models, specifically Large Language Models (LLMs), now scaling to trillions of parameters, has necessitated training across thousands of GPUs using complex hybrid parallelism strategies (e.g., data, tensor,
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