HYPIC: Accelerating Hybrid-Attention LLM Serving with Position-Independent Caching
arXiv 2607.01299•fca2574efc2f7c47a7e5e7f99c163b5034fd9e1a31091887ea248dcdb53fc16e
BFT consensusByzantineGPU clustersKV cacheKV quantizationLLM servingMixture-of-ExpertsTTFTarxivdistributed file systemsdistributed systemshybrid-attentionlatency-optimizationlong-context inferenceparallelismposition-independent cachingresearchschedulingserverlesstraining infrastructure
Paper metadata
- arXiv ID
- 2607.01299
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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- Source ID
- arxiv_cs_dc
- Record identifier
- fca2574efc2f7c47a7e5e7f99c163b5034fd9e1a31091887ea248dcdb53fc16e
- Enrichment time
- 2026-07-03T08:52:18Z
- AI-assisted enrichment
- Yes
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