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 and residency for memor...