Unverified50% confidenceFactExact time
The inference engine reuses shared prefixes via the KV cache, letting new tokens skip repeated prefill computation, but the tokenization step has no similar reuse shortcut, and the CPU frontend of the serving engine must reconvert the entire request into token IDs from the first character every time.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPrompt caching saves the KV state of reusable prefixes (the tokens at the beginning of a prompt that remain unchanged); if the next request starts with an identical prefix, the provider reuses the saved computation and only processes the new portion.67% 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66% similarUnverifiedPrefix caching leverages the fact that the system prompt and conversation history remain unchanged across turns in long conversations, saving the KV cache of the fixed prefix for reuse in new turns to avoid redundant computation.65% similarUnverifiedPrompt caching reuses already-computed KV cache on the server side and requires the context prefix of the previous request to be identical to the current one.63% similarUnverified定期重申关键指令、将关键规则附在最新输入附近能有效刷新模型对指令的记忆61% similar
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