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How does ZeRO optimization relate to PyTorch distributed training?
Updated May 17, 2026
Short answer
ZeRO partitions optimizer states, gradients, and parameters across GPUs to reduce memory.
Deep explanation
ZeRO (Zero Redundancy Optimizer) eliminates redundant memory usage in distributed training by sharding model states across devices while maintaining correctness via communication steps.
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