Red Hat Blog Meet vLLM: For faster, more efficient LLM inference and serving

Have you ever wondered how AI-powered applications like chatbots, code assistants and more respond so quickly? Or perhaps you've experienced the frustration of waiting for a large language model (LLM) to generate a response, wondering what's taking so long. Well, behind the scenes, there's an open source project aimed at making inference, or responses from models, more efficient.vLLM, originally developed at UC Berkeley, is specifically designed to address the speed and memory challenges that come with running large AI models. It supports quantization, tool calling and a smorgasbord of p