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.
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Qué ocurrió
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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- AWS Machine Learning BlogFuente primaria · Respalda · EN · 100%Run multi-node inference workloads using Ray LLM Deep Learning Containers ↗
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