High-throughput LLM inference engine with PagedAttention optimization, OpenAI-compatible API, and multi-GPU support for efficient model serving.
About
vLLM is a state-of-the-art, open-source inference engine developed by the UC Berkeley Sky Computing Lab that specializes in high-throughput, memory-efficient serving of large language models. Unlike traditional LLM serving systems that struggle with memory fragmentation and laten…
