Verified65% confidenceFactExact time
The KV cache is a data structure used during Transformer inference to store the Key and Value vectors corresponding to each token at each layer; it reduces the per-step attention computation from O(n²) to O(n), at the cost of memory usage increasing linearly with sequence length.
3
Sources
65%
Confidence
Long-term
Relevance
10/16/2026
First Seen
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Related Claims
UnverifiedKV cache 的显存占用随上下文长度线性增长，且每个并发请求、每条序列都维护一份独立缓存。80% similarUnverifiedThe KV cache stores key-value pairs from Transformer attention computations and grows linearly with sequence length.78% 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77% 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% similarVerifiedThe size of the KV cache is determined by three multiplied dimensions: the size of each record, how many tokens are combined into one record, and whether layers can share caches with each other.75% similar
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