Data and ML teams running large scale distributed training, batch inference, and data processing built on Ray.

Anyscale is a managed platform, built by Ray's creators, for running distributed Python AI workloads across GPU and CPU clusters.

Accessed via Anyscale's console and APIs, deploying Ray clusters onto AWS, GCP, Azure, or partner GPU clouds.

Founded in 2019 and operating as an active commercial Ray platform as of 2026.

Removes the operational burden of managing Ray clusters directly, adding autoscaling, observability, and enterprise controls.

Built on the open source Ray framework and requires an Anyscale account for the managed control plane.

Closed source commercial hosted service wrapping the open source Ray project; requires account credentials, workloads run on customer chosen or Anyscale managed cloud infrastructure.