Unverified60% confidenceFactExact time
vLLM was open-sourced by UC Berkeley in 2023 and increased LLM inference throughput by 2–4x through its PagedAttention technology.
2
Sources
60%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
软件复利效应：AI基础设施竞争的真正胜负手
twitterlmsysorg7/3/2026
Related Claims
UnverifiedvLLM was released in 2023 by the UC Berkeley LMSYS team, and PagedAttention draws on the operating system's virtual memory paging concept to address the KV Cache VRAM waste problem.74% similarUnverifiedvLLM was open-sourced and released by the Sky Computing Lab at the University of California, Berkeley in 2023.73% similarUnverifiedPagedAttention 是 vLLM 团队在 2023 年 SOSP 会议上发表的核心创新69% similarUnverifiedvLLM spans multiple technical topics in the PyTorch Conference North America 2026 agenda, including KV cache management, disaggregated serving, hardware portability, kernel optimization, MoE inference, attention mechanisms, and production deployment.67% similarUnverifiedRWKV由Peng Bo于2023年提出，通过线性注意力加时间衰减的WKV算子实现类似效果，已扩展到14B参数规模66% similar
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