Ray
Overview
Ray is a unified framework for scaling AI and Python applications. It's an open-source project that provides a simple, universal API for building distributed applications. Ray abstracts away the complexities of distributed computing, allowing developers to focus on their application logic rather than infrastructure concerns. It supports a wide range of workloads, including machine learning, reinforcement learning, and general-purpose distributed computing.
About Us
Ray was initially developed at UC Berkeley's RISELab. The project gained significant traction in the AI and machine learning community due to its ease of use and scalability. Anyscale, a company founded by the creators of Ray, provides a managed Ray platform and enterprise support for organizations building and scaling AI applications.
Vision
To be the leading unified framework for building and scaling AI and Python applications, empowering developers to solve complex problems and drive innovation.
Mission
To make distributed computing simple and accessible for every developer, enabling them to build and scale AI applications with ease.
Culture
The Ray community is known for its open-source spirit, collaboration, and focus on innovation. The project encourages contributions from developers of all skill levels and provides a supportive environment for learning and growth. Anyscale fosters a culture of innovation, collaboration, and customer focus.
Headquarters
Singapore