AWS releases multi-node Ray LLM deep learning containers
What happened
On 12 October 2026, the AWS Machine Learning Blog reported that AWS has released Ray LLM Deep Learning Containers for multi-node deployments. The containers can split a single large language model across two GPU nodes on Amazon EKS and share one OpenAI-compatible endpoint using prefill/decode disaggregation. The report did not disclose other dates or further developments.
Written by AI from the reports · updated 4 d ago
Timeline
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- AWS Machine Learning BlogRun 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.
Heat of this event
Current heat 3·Peak in the comparable range 9（Oct 13 03:00）·Change over 24 hours in the comparable range -49%
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