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

AI Summary

This guide demonstrates deploying a large language model across two GPU nodes on Amazon EKS using Ray LLM Deep Learning Containers, with dedicated prefill and decode nodes served through a single OpenAI-compatible endpoint. The pre-built container includes complete inference capabilities for running distributed LLM workloads in production Kubernetes environments.