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To Keep or Not to Keep: Learning KV Cache Retention in Disaggregated LLM Serving Systems

Liu, Dong et al.
arXiv (All) · Papers
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and-cluster-computingdistributedmachine-learningparallel
Disaggregated \textsc{LLM} serving separates prefill and decode across node pools, placing a network fabric between \textsc{KV}-cache computation and consumption. This breaks a key assumption of classical cache policies: a miss no longer incurs only local recomputation, but also network transfer to
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