KV Cache
The per-token attention key/value tensors an LLM caches during decoding, which dominate inference memory and grow linearly with sequence length and batch size.
grounded in: Established inference technology directly underpinning the existing 'prefix-caching' and 'continuous-batching' nodes; the 'Distributed/decentralized LLM compute' trend theme (HN front page, 2026-07-12
Connected concepts
Prefix/KV-cache reuse, Continuous batching, Memory-bandwidth-bound decode, Model offloading, Distributed inference
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