Unverified50% confidenceFactExact time
vLLM的前缀缓存（Prefix Caching）对KV Cache块计算哈希值，当新请求输入前缀与已缓存请求重叠时直接复用物理缓存块，跳过该部分prefill计算
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedPrefix Caching technology persistently stores already-computed KV vectors on the server side, allowing direct reuse when new requests share a large number of repeated prefixes with previous requests, with the matched portion billed at the cache price.76% similarUnverifiedThe core principle of prompt caching is cross-request reuse of the KV Cache, where already-computed KV states can be cached and reused when multiple requests share the same prefix.76% similarUnverifiedvLLM implements Automatic Prefix Caching, and SGLang supports fine-grained cache reuse based on RadixAttention.75% similarVerifiedKV Cache通过将已计算的键值对持久化存储，使相同Prompt前缀的后续请求可直接复用，跳过重复的矩阵运算75% similarUnverifiedIn the Prompt Cache mechanism, when the prefix content of an API request is identical to a previous one, the system reuses the already-computed KV cache to complete cache reads at a lower price, while cache write is the billing item for the first time content is written into the cache.75% similar
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