Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Ray serves as a unified framework designed to scale AI and Python applications effectively. It comprises a core distributed runtime alongside a collection of AI Libraries, which work in tandem to accelerate machine learning workloads. This architecture allows for efficient and scalable handling of AI tasks within Python applications.