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xrsrke
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Mar 27, 2026
New: enable_weight_offload config. Offloads expert weights to pinned CPU after each layer's expert forward, reloads before next layer. D2H overlaps with post-MoE attention. Handles FSDP DTensor via to_local(). 30B-A3B + post-MoE attention, EP=8, batch=2, seq=4096, 8xB200: | # | Config | Memory | TPS | What offloaded | |---|---------------------|----------|-------|-------------------------| | 1 | Baseline | 162 GiB | 6,149 | Nothing | | 2 | Weight only | 169 GiB | 2,949 | Expert weights → CPU | | 3 | Activation only | 144 GiB | 3,330 | Expert acts (checkpoint)| | 4 | Weight + Activation | 146 GiB | 2,326 | Both | Weight offload (#2) doesn't save memory yet because FSDP DTensor .set_() doesn't actually free the original storage. Activation offload (#3) saves 18 GiB via checkpoint. Combined (#4) saves 16 GiB.
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