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MoE-CORE: Coordinated Expert Offloading and Residency for Memory-Constrained MoE Inference
Sparse expert activation reduces MoE models' computation, yet expert weights can exceed limited device memory. Offloading makes inference feasible on a compact AI appliance but exposes host-to-device transfers to the inference path. We present MoE-CORE, a system that coordinates expert offloading an
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