Ray
Unified, open-source framework for scaling Python and AI applications across distributed computing environments, enabling seamless execution of tasks on CPUs, GPUs, and other accelerators. Its purpose is to simplify the development and deployment of complex machine learning, reinforcement learning, and generative AI workflows by offering modular libraries and primitives for parallel processing, model training, serving, and inference at scale.