Distributed training with Ray Train DLCs and EFA on EKS

AWS Machine Learning Sunita Koppar

Publication summary. The terms of AWS Machine Learning do not allow reproduction of the full article: read the complete text on the original website.

Source summary (English)

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.

Read the full article

aws.amazon.com

View on AWS Machine Learning (new tab)