Skip to content
Models

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

AWS Machine Learning BlogCompany announcement·
AI brief

AWS describes deploying one large language model across two GPU nodes on Amazon EKS using multi-node Ray LLM Deep Learning Containers, with separate prefill and decode nodes behind a single OpenAI-compatible endpoint.

Why it matters: It offers a pre-built container for serving a large model across multiple nodes without building the inference stack.

Written by AI from AWS Machine Learning Blog's published text.

Source

“Learn how to deploy one large language model across two GPU nodes on Amazon EKS using the multi-node Ray LLM Deep Learning Containers, with separate prefill and decode nodes behind one OpenAI-compatible endpoint.”
AWS Machine Learning Blog, 12 Oct 2026, 15:50.

Published by the organisation it describes; treat claims as first-party statements.

Read original story ↗