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The results establish adaptive, confidence-driven expert prefetching as an effective approach for efficient MoE inference on edge systems.
HYDRA jointly explores chiplet composition, placement, inter-chiplet bandwidth provisioning, dynamic batching, dynamic batching, and runtime scheduling, and a fast Markov-based performance estimator that captures multi-tenant runtime dynamics for efficient and accurate exploration.
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