Verified85% confidenceBenchmarkExact time
PagedAttention improves KV Cache memory utilization from below 40% to close to 100%.
5
Sources
85%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Related Claims
UnverifiedPagedAttention cuts the KV Cache into fixed-size blocks, allocated on demand and stored non-contiguously, raising VRAM utilization from the traditional 20%–40% to over 90%.78% similarUnverifiedPagedAttention 使显存利用率提升至接近 100%，实现同等硬件下并发吞吐量提升 2-4 倍75% similarVerifiedPagedAttention splits the KV Cache into fixed-size physical blocks mapped via a block table, and can improve GPU utilization from below 40% to above 90%.74% similarUnverified传统LLM推理中KV Cache的内存管理导致60%-80%的显存被浪费73% similarUnverified传统LLM推理中，KV Cache的内存管理导致60%-80%的GPU显存被浪费73% similar
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