Anyscale

What Anyscale is

Anyscale is a platform for running and scaling AI and ML workloads, delivered by the team that created Ray. It handles Ray data processing, training and inference across cloud or on-premise environments, with heterogeneous CPU and GPU clusters, Kubernetes deployment, autoscaling, fault tolerance and observability.

It also offers cloud development environments usable from VS Code, Jupyter and Cursor.

What you can do with it

• Run distributed training and batch inference
• Process large datasets with Ray
• Deploy to Kubernetes with autoscaling
• Monitor workloads and govern cost

Who it is for

• AI and ML engineers
• Platform engineering teams
• Organisations already using Ray

What to watch out for

• It solves distributed compute, not model design, data governance or product logic
• Cloud and GPU costs need active governance
• Teams without Ray knowledge will struggle to judge configuration
• For simple API calls or single-machine inference this is heavier than needed