AWS shows how to run multi-node LLM inference with Ray LLM Deep Learning Containers on EKS
An AWS Machine Learning Blog post walks through deploying one large language model across two GPU nodes on Amazon EKS using multi-node Ray LLM Deep Learning Containers. The setup separates prefill and decode nodes behind a single OpenAI-compatible endpoint. The pre-built container includes the full inference stack, so users configure the deployment rather than assemble it.
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