vLLM ProjectB

vLLM is an open-source inference engine from UC Berkeley introducing PagedAttention, dramatically increasing LLM throughput by eliminating KV cache memory waste. Became one of the fastest and most deployed LLM serving frameworks. Demonstrated academic systems research can deliver production-grade improvements. Tone: performance-benchmark-driven, technical blog posts, open infrastructure ethos, systems-research rigor applied to LLM serving.