Morning Edition · Tuesday, August 25, 2026Published at 2:26 AM EDT · New York
KVBoost reuses key-value tensors at the chunk level and recomputes only where the deviation is large, targeting prompts that share content but not a leading prefix.

Prefill is the part of large language model serving that nobody markets and everybody pays for. Before a model emits a token, it must compute key-value (KV) tensors across the whole prompt. Prefix caching removes that cost when requests sha…
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