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OOM: Offload-Optimized Full-Parameter MoE Training via Memory-Execution Co-Design
Offloading model state to host memory and streaming layer weights let a single multi-GPU node train large mixture-of-experts (MoE) models. GPU memory then becomes a performance budget, shared by resident expert state, retained activations, and execution worksets. The best allocation depends on the e
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