Unverified50% confidenceFactExact time
In inference engines such as vLLM, prefix cache requires the prompt prefix to be byte-for-byte identical to reuse the KV cache, and any insertion, modification, or timestamp difference invalidates the entire cache after that point.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen KV cache is reused, cached intermediate activations may produce different logit outputs for the same input when the batch size or sequence concatenation method changes.79% similarUnverifiedvLLM has recently introduced features such as prefix caching and speculative decoding to reduce time-to-first-token latency and improve response efficiency.73% similarVerifiedThe KV Cache mechanism can cache repeated prefix content, and the more concise the system prompt, the higher the cache hit rate.71% similarUnverifiedKV Cache matching requires strict prefix consistency — only when the beginning of a request exactly matches a cached record can the subsequent new content continue from the cache.70% similarUnverifiedKV Cache avoids redundant computation during autoregressive inference by caching the K and V values of historical tokens, so that new tokens only need to compute their own Q.68% similar
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