AWS ML Blog
Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod
✦TL;DR
SkyRL, an open‑source RL framework, has been integrated with Amazon SageMaker HyperPod to accelerate multimodal training of the Qwen3‑VL‑8B vision‑language model using the GRPO algorithm. The authors demonstrate how to containerize SkyRL, spin up a Ray cluster directly from SageMaker Studio, submit a training job, and monitor progress in real time. By leveraging HyperPod’s 8‑node GPU topology, they achieve a 2‑to‑3× speed‑up over a single‑node baseline while maintaining the same training accuracy. The approach showcases a practical workflow for scaling vision‑language RL workloads on managed cloud infrastructure.
⚡ Key Takeaways
- Qwen3‑VL‑8B (8 B parameters) is fine‑tuned with GRPO on a 8‑node HyperPod
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