Verified75% confidenceFactExact time
KV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
3
Sources
75%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
VerifiedThe VRAM occupied by KV Cache grows linearly with sequence length.79% similarUnverifiedKV缓存随上下文长度增加，显存占用可达总显存的60%以上77% similarVerifiedThe VRAM usage of KV Cache grows linearly with sequence length; for a 70-billion-parameter model using GQA, the KV Cache usage can reach tens of GB when processing 100,000 tokens.75% 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.75% similarUnverifiedThe VRAM consumption of the KV cache is proportional to context length, number of model layers, and number of attention heads; under an 8K context, a typical 27B model may consume an additional 2–4 GB of VRAM.73% similar
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