Unverified50% confidenceFactExact time
Prefix Cache optimization refers to the API server's ability to cache the KV computation results of an unchanged system prompt prefix across multi-turn conversations for reuse by subsequent requests, reducing redundant computation and lowering latency and token costs.
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50%
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Long-term
Relevance
9/27/2026
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Related Claims
UnverifiedImplementing retry logic with exponential backoff at the API call layer and caching results of high-frequency requests can provide a buffer during brief service fluctuations.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% similarVerifiedPrefix 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.75% similarUnverifiedThe KV Cache (Key-Value Cache) mechanism allows API requests sharing the same prefix to reuse already-computed Key and Value vectors, thereby significantly reducing inference costs.74% similarUnverifiedInference throughput optimization relies on technologies such as KV Cache management and Continuous Batching, which directly determine response speed and service cost under concurrent user loads.74% similar
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