AWS publishes tutorial on distributed training with Ray Train DLC and EFA on EKS
What happened
On 29 October 2026, the AWS Machine Learning Blog published a tutorial on distributed training with Ray Train DLC and EFA on EKS. According to the report, AWS also released a Ray Train DLC image (public.ecr.aws/deep-learning-containers/ray:train-ml-cuda-v1.1) that comes pre-integrated with Ray 2.58.0, PyTorch 2.13.0, CUDA 13.0.2, NCCL 2.29.7, and the EFA and AWS OFI NCCL plugins, so users do not need to build the image themselves. This is the only report on the matter so far, with no follow-up developments or contradictions with earlier coverage.
Written by AI from the reports · updated 3 h ago
Timeline
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- AWS Machine Learning BlogDistributed training with Ray Train DLCs and EFA on EKS
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 container exactly as published.
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