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Dynamic HBM Repartitioning for Multi-Turn MoE Serving

Kim, Jinpyo et al.
arXiv (OAI Expanded) · Papers
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and-cluster-computingdistributedparallel
Long-running multi-turn requests accumulate reusable key-value (KV) state. Once this state exceeds a fixed GPU KV-cache allocation, serving systems evict reusable prefixes, repeat prefill work, and may preempt requests. This pressure is particularly acute for Mixture-of-Experts (MoE) models: their e
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