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vToken: Token-Level Virtualization for Reclaimable KV Caches

arXiv cs.AI Efficiency & Systems Yuanhang Gao, Xiangrui Yang, Yuanfeng Chen, Hongjia Chen, Qianru Lv, Wenfei Wu, Dongsheng Li 2026-08-13

TL;DR - vToken virtualizes KV-cache management at token granularity, enabling serving systems to reclaim memory stranded within fixed-size blocks. Its vLLM implementation improves memory utilization, throughput, and concurrency without changing PagedAttention kernels.

  • Decouples logical token liveness from physical placement using token-table indirection.
  • Asynchronously repacks live tokens while preserving CUDA Graph compatibility.
  • Reduces retained KV blocks per request by 27.2%–72.3% and improves SLA-constrained throughput by up to 1.37Ă—.
  • Supports up to 2Ă— more concurrency under constrained active-KV budgets and reduces policy integration from 500+ lines to under 50.

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