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Ze-Shen Su

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#machine learning Preprint Sep 2026

KVMem: Virtualizing Million-Token Agent Workspaces on a Consumer GPU

KVMem is presented, a KV-context virtualization system that preserves overflowed workspace history as paged KV state across GPU memory, host memory, and NVMe, and provides a practical path toward long-running agents whose workspaces can grow beyond that window.

Di Chai, Le-Ye Wang, Ze-Shen Su et al. · 1 citation

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