Run multi-node inference workloads using Ray LLM Deep Learning Containers

Extracto de la fuente

This post shows how to deploy one large language model (LLM) across two GPU nodes on Amazon Elastic Kubernetes Service (Amazon EKS) with the multi-node Ray LLM Deep Learning Containers . It uses separate prefill and decode nodes behind one OpenAI-compatible endpoint. This kind of multi-node setup is common for tensor, pipeline, and data parallelism, as well as prefill/decode disaggregation inference workloads. In a previous post , we introduced the Ray Serve DLC and used it to stand up a small…