Verified90% confidenceFactExact time
KV Cache通过缓存已计算的Key/Value矩阵，将推理复杂度从O(n²)降至O(n)
15
Sources
90%
Confidence
Long-term
Relevance
5/21/2026
First Seen
Sources
Cloudflare向SGLang贡献KV Cache与Mooncake关键修复
twitterlmsysorg5/21/2026
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Related Claims
VerifiedKV Cache将已计算的历史键值矩阵缓存在内存中，将自回归生成的复杂度从随序列长度平方增长降至线性84% similarUnverified引入KV Cache可将自回归生成的计算复杂度从O(N²)降为O(N)84% similarVerifiedKV Cache通过避免对已生成token的Key和Value进行重复计算来加速推理79% similarUnverified提示词缓存通过在服务器端保存已计算的 KV 矩阵，将重复前缀的处理从 O(n²) 降低至 O(1) 的缓存读取，可实现高达90%的延迟和成本压缩74% similarUnverifiedKV Cache技术允许模型在自回归生成时复用历史token的注意力Key-Value矩阵计算结果，使长对话推理延迟从O(n²)降低至接近线性73% similar
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