Run multi-node inference workloads using Ray LLM Deep Learning Containers
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What happened
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.
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Sources
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- Run multi-node inference workloads using Ray LLM Deep Learning ContainersAWS Machine Learning