vLLM Adds Tiered KV Cache Offloading to Scale Inference Across Host Memory and Object Stores
vLLM Blog · rss · 2026-09-10
The vLLM blog introduces Tiered KV Cache Offloading, a host-centric framework that scales KV cache across host memory, filesystems, object stores, and remote peers.
- Aims to cut recomputation and increase serving capacity
- Lets long-context/high-concurrency deployments offload KV cache to cheaper storage tiers instead of dropping it
A notable infra improvement for teams running large-scale LLM inference on vLLM.
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