Expired60% confidenceFactExact time
vLLM originated from a research team at UC Berkeley, and its core paper was published at SOSP (Symposium on Operating Systems Principles) in 2023.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference
githubvllm-project6/6/2026
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.79% similarUnverifiedPagedAttention 是 vLLM 团队在 2023 年 SOSP 会议上发表的核心创新75% similarUnverifiedContinuous batching was systematically proposed in the 2023 PagedAttention paper from UC Berkeley.74% similarUnverifiedvLLM was open-sourced and released by the Sky Computing Lab at the University of California, Berkeley in 2023.74% similarUnverifiedvLLM was open-sourced by UC Berkeley in 2023 and increased LLM inference throughput by 2–4x through its PagedAttention technology.71% similar
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