---
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id: "2bac06729e105b98ea93b42aa5648544ad0173a64acf19342ea065959e51521e"
canonical_url: "https://aidr.today/2bac0672?lang=en"
title: "Distributed training with Ray Train DLCs and EFA on EKS"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-28T18:19:54.000Z"
category: "Frameworks"
topics: ["amazon","llm","framework"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/distributed-training-with-ray-train-dlcs-and-efa-on-eks/"]
summary: "A sample demonstrates distributed training using Ray Train Deep Learning Containers with Elastic Fabric Adapter on Amazon EKS, fine-tuning Qwen2.5-1.5B with PyTorch FSDP across eight GPUs on two g6.12xlarge instances."
---

# Distributed training with Ray Train DLCs and EFA on EKS

> [Open the canonical story](<https://aidr.today/2bac0672?lang=en>)

**Published:** 2026-10-28T18:19:54.000Z
**Category:** Frameworks
**Topics:** amazon, llm, framework

## Summary

A sample demonstrates distributed training using Ray Train Deep Learning Containers with Elastic Fabric Adapter on Amazon EKS, fine\-tuning Qwen2\.5\-1\.5B with PyTorch FSDP across eight GPUs on two g6\.12xlarge instances\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/distributed-training-with-ray-train-dlcs-and-efa-on-eks/>)

