Verified80% confidenceFactExact time
KV Cache avoids redundant computation by caching already-computed Key and Value matrices, and advanced techniques such as PagedAttention further optimize cache memory management efficiency.
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80%
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Long-term
Relevance
9/11/2026
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UnverifiedKV Cache（键值缓存）用于避免自回归生成时对历史 token 的重复计算，但长上下文场景下预填充阶段需占用大量 HBM 显存带宽，拉长首 token 延迟（TTFT）80% similarUnverifiedThe KV Cache (Key-Value Cache) strategy stores already-computed attention key-value pairs in GPU memory for reuse, which consumes a large amount of GPU memory resources.80% similarVerifiedKV缓存将已计算的Key-Value矩阵存储在显存中实现增量计算，代价是显存占用随序列长度线性增长79% similarUnverifiedThe KV Cache memory sharing mechanism can save up to 55% of GPU memory in scenarios such as beam search.78% similarUnverifiedKV Cache memory usage is proportional to the number of layers × number of attention heads × context length × precision; GQA reduces cache size by having multiple query heads share the same set of Key-Value heads, and this design has been adopted by the Llama 2/3 and Qwen series.78% similar
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