Accelerate AI inference with vLLM

Accelerate AI inference with vLLM What is vLLM? Why vLLM matters for LLM inference Strategic advantages for enterprise AI Democratizing AI and optimizing costs Scaling AI applications with confidence Hardware flexibility and expanding choice Accelerated innovation and community impact Enterprise-grade AI with vLLM Red Hat AI Inference Server Unifying the AI infrastructure How Red Hat can help Get started with AI Inference About the author Technically Speaking Team More like this Blog post Blog post Original podcast Original podcast Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share At this point, the transformative potential of a large language model (LLM) is clear, but efficiently deploying these powerful models in production can be challenging. This challenge is not new. In a recent episode of the Technically Speaking podcast, Chris Wright spoke with Nick Hill, a principal software engineer at Red Hat who worked on the commercialization of the original IBM Watson "Jeopardy!" system years ago. Hill noted that these early efforts focused on optimizing Watson down from a room full of servers to a single machine, establishing that systems-level engineering is key to making powerful AI practical. Wright and Hill also discussed how this same principle applies to modern LLMs and the vLLM open source project, which is revolutionizing AI inference by making AI more practical and performant at scale. [embed YouTube video here Building more efficient AI with vLLM ft. Nick Hill | Technically Speaking with Chris Wright ] vLLM is an inference server that directly addresses the efficiency and scalability challenges faced when working with generative AI (gen AI). By maximizing the use of expensive GPU resources, vLLM makes powerful AI more accessible and practical. Red Hat is deeply involved in the vLLM project as a significant commercial contributor. We have integrated a hardened, supported, and enterprise-ready version of vLLM into Red Hat AI Inference Server. This product is available as a standalone containerized offering, or as a key component of the larger Red Hat AI portfolio, including Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI. Our collaboration with the vLLM community is a key component of our larger open source AI strategy.