Ray

Ray is a powerful open-source framework designed to manage and optimize compute needs for AI and ML workloads. It offers unmatched scalability and efficiency, allowing you to scale from a single laptop to thousands of GPUs seamlessly. Ray supports any AI or ML workload, handling diverse data types and model architectures with ease.

Built by developers for developers, Ray is Python-native and provides core primitives like tasks, actors, and objects to build and scale distributed applications. Its high-level ML libraries enable seamless scaling of data processing, training, and serving.

Ray is backed by a robust open-source community, ensuring it evolves with the latest AI innovations. With 40k+ GitHub downloads and 34.8k stars, it's a trusted choice for industry leaders seeking to accelerate AI operations.

Join the Ray Community Slack to connect with fellow AI practitioners, and explore Anyscale for a fully managed platform to run Ray, complete with enterprise governance and expert support. Transform your AI capabilities with Ray by Anyscale.