Run multi-node inference workloads using Ray LLM Deep Learning Containers
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. The pre-built container ships the full inference stack, so you configure the deployment instead of assembling it.
First seen by Oriel on .
Aliases
| Source | External ID | URL |
|---|---|---|
| AWS Machine Learning Blog | b4bf8b1e23545b34c9db567b51d0eb1551605184 | https://aws.amazon.com/blogs/machine-learning/run-multi-node-inference-workloads-using-ray-llm-deep-learning-containers/ |