Deploy Amazon Nova Multi-Turn RL Infrastructure on SageMaker HyperPod

AWS introduced a method to deploy multi-turn reinforcement learning (RL) infrastructure for Amazon Nova Forge on Amazon SageMaker HyperPod, using a two-stage architecture. The system becomes an event-driven pipeline that automatically starts training when users upload data to Amazon S3. The blog uses teaching a model to play Wordle as a placeholder task to represent users' own RL tasks. For ML engineers and teams already using Amazon Nova on AWS, this solution provides a ready-to-deploy reference implementation that simplifies building multi-turn RL infrastructure. With SageMaker HyperPod's high-performance computing and event-driven architecture, developers can focus on RL algorithms rather than infrastructure management.