// AI news · 2026-10-29 · AWS Machine Learning Blog
AWS Enables Ray Train DLC Distributed Training on EKS
AWS introduces Ray Train DLC for distributed PyTorch training on EKS using EFA.
Published 2026-10-29 02:19 (Beijing time)Source AWS Machine Learning BlogAuto-summarised, fact-checked against source
01Summary
The container includes full CUDA and EFA stack, eliminating image building. Training Qwen2.5-1.5B across eight L4 GPUs on two g6.12xlarge instances is demonstrated with KubeRay. All network, GPU, and package configurations are set at runtime. No image rebuilds or driver matching is required, and the container works uniformly as head or worker.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Ray Train DLC includes full CUDA and EFA stack, eliminating image build.
- Qwen2.5-1.5B fine-tuned on eight L4 GPUs across two g6.12xlarge instances.
- Network, GPU, and package settings are configured at runtime only.
- Container runs uniformly as head or worker with no role-specific images.
03Source
Distributed training with Ray Train DLCs and EFA on EKS
AWS Machine Learning Blog · published 2026-10-29 02:19 Beijing time
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