Machine learning and AI are urgent competitive priorities, but companies struggle with scale, production, and expertise. With Ray on Anyscale, developers of all skill levels can easily build apps that run at any scale, from a laptop to a data center.
We believe that every developer and every team should be able to succeed with AI without worrying about building and managing infrastructure.
Make scalable computing effortless
Build the future of distributed computing for AI and ML workflows

We developed Ray, an open source project, at the UC Berkeley RISELab to solve ML and AI scaling challenges.

To make distributed computing even easier for developers to solve, we built Anyscale: production-ready Ray.

We help AI teams build foundation models and run the data and serving workloads around them.



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