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Qing-Xiu Liu

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#machine learning Preprint Apr 2026

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving

FluxMoE is presented, which decouples experts from physical GPU residency and adapts their footprint to available memory through a new \emph{expert paging} abstraction, and streams weights on demand while keeping expert computation on GPUs.

Qing-Xiu Liu, Yong-Chao He, Run-Han Jiang et al. · 0 citations