Unverified50% confidenceFactExact time
The GPU memory usage of KV Cache for a single sequence is 2×L×n×h×d_head×sizeof(dtype) bytes.
1
Sources
50%
Confidence
Long-term
Relevance
8/13/2026
First Seen
Sources
PagedAttention原理详解:GPU显存优化与模型路由技术
Related Claims
Unverified位域(Bitfield)数据结构允许将多个布尔标志或小整数打包进单个机器字,通过位掩码和移位操作进行读写,只需1-2个CPU指令周期61% similarUnverifiedvLLM uses block table indirect mapping to allow multiple logical sequences to point to the same physical block, enabling zero-copy sharing of the KV Cache, and adopts a copy-on-write strategy.60% similarUnverifiedJaccard similarity splits strings into n-gram sets and computes the size of the intersection of two sets divided by the size of their union.57% similarUnverifiedPagedAttention uses a copy-on-write mechanism to allow multiple sequences to share identical prefix blocks, saving approximately 55% of KV Cache memory overhead in a typical configuration of beam_width=4.57% similarVerifiedKV Cache reduces inference complexity from O(n²) to O(n) by caching the already-computed Key/Value matrices.55% similar
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