The open source vLLM represents a milestone in large language model (LLM) serving technology, providing developers with a fast, flexible and production-ready inference engine.
Initially developed in the Sky Computing Lab at UC Berkeley, this library has evolved into a community-driven project that addresses the critical challenges of memory management, throughput optimization and scalable deployment in LLM applications. The library’s innovative approach to attention mechanisms and memory allocation has established it as a leading solution…