AIAWS AI1h ago
Run multi-node inference workloads using Ray LLM Deep Learning
Run multi-node inference workloads using Ray LLM Deep Learning Containers

TL;DRRay LLM containers let you split large language model inference across multiple GPU nodes on Amazon EKS.
Why it matters: Enables cost-effective scaling of LLM inference beyond single-node GPU capacity with standard OpenAI API compatibility.
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…
Read full articleSource: AWS AI · Opens in new tab