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

AWS Machine Learning Ananth Raghavendra

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Source summary (English)

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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