vllm-pagedattention
IN premise — entries/2026/06/21/wiki-Large_language_model-chunk-4.md
Created 2026-06-21T09:50:09+00:00
vLLM is an LLM inference and serving framework known for introducing PagedAttention
Summary
vLLM is a tool for running large language models in production, and its standout contribution is a technique for managing GPU memory more efficiently when serving those models to many users at once. This matters because memory overhead is one of the biggest practical bottlenecks in LLM serving, so the framework's design choices shape how well any system built on top of it can handle real-world traffic.