Verified75% confidenceFactExact time
The KV Cache mechanism avoids repeated computation of historical tokens, but its memory usage grows linearly with context length.
3
Sources
75%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
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78% similarVerifiedThe KV Cache (key-value cache) mechanism accelerates inference by caching the Key and Value vectors generated by the self-attention layer to avoid redundant computation, but the longer the context, the more vectors must reside in VRAM, causing memory pressure to grow in a near-linear fashion.75% similarUnverifiedThe KV cache grows linearly with context length, increasing the memory read volume per step in the decoding phase, which is the fundamental reason decoding speed decreases as context grows.70% similarUnverified长文档处理中，KV Cache机制导致显存占用随上下文长度近似平方级增长69% similarUnverifiedKV Cache往往占据推理总显存的30%至70%，是制约大模型推理吞吐量和上下文长度的主要瓶颈68% similar
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