[KongchangAI]
Unverified50% confidenceFactExact time

PagedAttention 由 UC Berkeley vLLM 团队于 2023 年提出,可消除传统连续预分配模式下高达 60-80% 的显存碎片浪费

1
Sources
50%
Confidence
Long-term
Relevance
7/21/2026
First Seen

Sources

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/584868
API
curl https://kongchang.com/api/v1/knowledge/claims/584868
MCP
get_claim(id=584868)