{"id":"028b8abb-172b-47f1-9585-addc44b2b448","url":"https://api.tumn.com/news/028b8abb-172b-47f1-9585-addc44b2b448","title":"Run multi-node inference workloads using Ray LLM Deep Learning Containers","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 conf","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/run-multi-node-inference-workloads-using-ray-llm-deep-learning-containers/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-12T15:50:14.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-12T15:50:14.000Z","modifiedAt":"2026-10-12T20:24:46.000Z","checkedAt":"2026-10-12T20:24:46.508Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/028b8abb-172b-47f1-9585-addc44b2b448.json","markdown":"https://api.tumn.com/news/028b8abb-172b-47f1-9585-addc44b2b448.md"}}