Unverified50% confidenceFactExact time
The KV cache stores key-value pairs from Transformer attention computations and grows linearly with sequence length.
1
Sources
50%
Confidence
Long-term
Relevance
9/21/2026
First Seen
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Related Claims
VerifiedKV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78% similarVerifiedKV Cache reduces the computational complexity of self-attention from O(N²) to O(N) by caching already-computed Key-Value pairs in GPU memory, but memory usage grows linearly with sequence length.76% similarUnverifiedThe size of the KV cache grows linearly with context length, and VRAM consumption increases significantly when processing longer texts.76% similarUnverifiedKV缓存随上下文长度增加，显存占用可达总显存的60%以上75% similarVerifiedThe 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.74% similar
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