Verified90% confidenceFactExact time
vLLM是由UC Berkeley开发的高吞吐量大模型推理引擎，核心创新是PagedAttention技术
21
Sources
90%
Confidence
Long-term
Relevance
3/10/2026
First Seen
Sources
Deep Dive into Three Major LLM Career Paths: Requirements, Tech Stacks, and Career Prospects
bilibiliAI大模型学习中心3/10/2026
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UnverifiedSGLang由UC Berkeley团队主导开发，是目前与vLLM并列的两大主流开源LLM推理框架之一80% similarUnverifiedvLLM originated from a research team at UC Berkeley, and its core paper was published at SOSP (Symposium on Operating Systems Principles) in 2023.78% similarVerifiedvLLM uses PagedAttention technology to improve inference throughput by up to tens of times compared to traditional frameworks, making it the preferred solution for production environments.77% similarUnverifiedvLLM由加州大学伯克利分校开发，其核心创新PagedAttention技术相比原生HuggingFace Transformers推理可实现数倍到数十倍的吞吐量提升76% similarUnverifiedvLLM 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.75% similar
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