AWS shows how to run multi-node inference with the Ray LLM Deep Learning Containers on EKS
Original titleRun multi-node inference workloads using Ray LLM Deep Learning Containers
AISummary
AWS explains how to deploy one large language model across two GPU nodes on Amazon EKS using the multi-node Ray LLM Deep Learning Containers. The setup separates prefill and decode onto different nodes behind one OpenAI-compatible endpoint, with KV-cache transfer over NIXL and Elastic Fabric Adapter.
Source: AWS Machine Learning Blog · aws.amazon.comPublished · added here