{"id":"731ba927-078e-4e37-953b-8ee3d8482e73","url":"https://api.tumn.com/news/731ba927-078e-4e37-953b-8ee3d8482e73","title":"Distributed training with Ray Train DLCs and EFA on EKS","summary":"The Ray Train Deep Learning Container ships the full CUDA-through-EFA stack, so you build no image. This post walks through a reproducible sample that fine-tunes Qwen2.5-1.5B with PyTorch FSDP across eight GPUs on two EFA-enabled g6.12xlarge instances on Amazon EKS, using the con","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/distributed-training-with-ray-train-dlcs-and-efa-on-eks/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-28T18:19:54.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-28T18:19:54.000Z","modifiedAt":"2026-10-28T19:26:31.000Z","checkedAt":"2026-10-28T19:26:31.574Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/731ba927-078e-4e37-953b-8ee3d8482e73.json","markdown":"https://api.tumn.com/news/731ba927-078e-4e37-953b-8ee3d8482e73.md"}}