This article explores how MiniMax-M1’s hybrid architecture is efficiently supported in vLLM. We discuss the model’s unique features, the challenges of efficient inference, and the technical solutions implemented in vLLM.| vLLM Blog
vLLM is an open-source inference engine that serves large language models. We deploy vLLM across GPUs and load open weight models like Llama 4 into it. vLLM sits at the intersection of AI and systems programming, so we thought that diving into its details might interest our readers.| www.ubicloud.com
Modern generative AI and large language model (LLM) services create unique traffic-routing challenges on Kubernetes. Unlike typical short-lived, stateless web requests, LLM inference sessions are often long-running, resource-intensive, and partially stateful. For example, a single GPU-backed model server may keep multiple inference sessions active and maintain in-memory token caches. Traditional load balancers focused on HTTP path or round-robin lack the specialized capabilities needed for th...| Kubernetes