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slug: "accelerate-multimodal-rl-training-with-skyrl-on-amazon-54e5d8"
title: "Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod"
description: "AWS has published a technical walkthrough for running the open-source SkyRL reinforcement-learning framework on Amazon SageMaker HyperPod."
retrieval_nugget: "AWS has published a technical walkthrough for running the open-source SkyRL reinforcement-learning framework on Amazon SageMaker HyperPod."
observed_at: "2026-09-26"
record_date: "2026-09-26"
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why_it_matters: "Source: https://aws.amazon.com/blogs/machine-learning/accelerate-multimodal-rl-training-with-skyrl-on-amazon-sagemaker-hyperpod"
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source_platform: "aws.amazon.com"
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source_url: "https://aws.amazon.com/blogs/machine-learning/accelerate-multimodal-rl-training-with-skyrl-on-amazon-sagemaker-hyperpod"
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status: "published"
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editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod

## Retrieval answer

AWS has published a technical walkthrough for running the open-source SkyRL reinforcement-learning framework on Amazon SageMaker HyperPod.

AWS has published a technical walkthrough for running the open-source SkyRL reinforcement-learning framework on Amazon SageMaker HyperPod. The example post-trains the Qwen3-VL-8B vision-language model with GRPO, using a workflow that builds a container image, launches a Ray cluster from SageMaker Studio, submits and monitors training, and hosts the resulting LoRA adapter for inference.

Source: https://aws.amazon.com/blogs/machine-learning/accelerate-multimodal-rl-training-with-skyrl-on-amazon-sagemaker-hyperpod

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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