In this post, I introduce the design and motivation behind the server-based rollout engine in the veRL framework. Traditional RLHF pipelines often assume tight coupling between training process and offline engine, which makes real-world interaction difficult. This post walks through how we use server-based rollout engine in RLHF training process, enabling more flexible and scalable reinforcement learning workflows.