Unverified50% confidenceFactExact time
In a standard Transformer, each layer computes KV only once; whereas in a recurrent architecture the same set of layers is executed multiple times, so looping 4 times is equivalent to storing 4 copies of the KV cache.
1
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50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
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Related Claims
Unverified在 Transformer 推理中，KV 缓存占用的显存可达总显存的 30%-60%69% 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.65% similarUnverifiedThe KV cache stores key-value pairs from Transformer attention computations and grows linearly with sequence length.64% similarUnverifiedWith KV Cache, each round of Q projection only needs to compute a 1×D_k vector, whereas without caching, a full N×D_k matrix must be computed.63% similarUnverified使用非GQA架构（KV头数等于查询头数）在相同条件下的KV缓存是GQA的4倍62% similar
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