ray

Ray is a unified framework designed for scaling AI and Python applications across distributed environments, facilitating the deployment of workloads from individual machines to clusters. It features a core distributed runtime along with AI libraries for scalable tasks, including data management, model training, hyperparameter tuning, reinforcement learning, and serving. Key components of Ray include stateless tasks, stateful actors, and immutable objects, enabling developers to build high-performance applications with ease.