AWS Machine Learning Blog· Nilesh PS·· 2026-09-26
Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod
Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod
AI summary
Learn how to run SkyRL, an open-source reinforcement learning framework, on Amazon SageMaker HyperPod to post-train a Qwen3-VL-8B vision-language model with GRPO. This walkthrough covers building the container image, launching a Ray cluster from SageMaker Studio, submitting and monitoring the job, and hosting the trained LoRA adapter for inference.
Selection record
Threshold 60Official, first-handFirst 31Second 22
Not admittedSum of both 53 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：多模态RL训练与模型部署教程
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com