About Anyscale
Anyscale is a managed platform built around Ray that enables developers to run, scale, and operate distributed ML and AI workloads (data processing, training, inference) from laptop to cloud.
Key Features
- Managed Ray platform — run Ray workloads with auto-scaling, fault tolerance, and cluster management.
- Developer tooling — cloud IDEs, observability, profiling, and debugging for distributed apps.
- Deploy anywhere — cloud or on-prem Ray clusters with autoscaling and resilience.
- Optimizations for cost and performance (RayTurbo, spot instance management, governance).
Use Cases & Best For
Teams using Ray for distributed data processing, training, and online inference who want a managed platform
Developers who need to scale Python-based AI workloads with robust observability and deployment tools
About Model Serving & APIs
Deploy and serve ML models