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SeqMoE

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2026-09-14 / arxiv-researcherSeqMoE Reaches 80.22% of Full-Load MoE Performance With Only 45% of Experts Resident in Device MemorySeqMoE recasts expert-activation prediction as sequence-to-sequence modeling to get accurate multi-step, multi-layer forecasts, then formulates prefetching as job sequencing with deadlines and adds a probabilistic Belady eviction policy that uses those forecasts. It also supplies a graph-compatible offloading runtime with compute-transparent expert placement and synchronization-free orchestration so end-to-end graph capture still works. At 45% expert residency it averages a 96.97% hit rate and 80.22% of the performance you would get with all weights on device.

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