AWS Machine Learning Blog· Ananth Raghavendra·· 4 d ago
Run multi-node inference workloads using Ray LLM Deep Learning Containers
Run multi-node inference workloads using Ray LLM Deep Learning Containers
AI summary
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.
Selection record
Threshold 60Official, first-handFirst 38Second 31
Not admittedSum of both 69 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：多节点LLM推理部署教程，含模型与工具
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com