Anyscale | Scalable Compute for AI and Python

Anyscale is the leading AI application platform that allows developers to build, run, and scale AI applications instantly. It leverages Ray, a distributed computing framework, to optimize performance and lower costs for AI workloads. Anyscale offers tools for compute governance, developer tooling, and supports any cloud, accelerator, and stack.

How to Use

To use Anyscale, developers can leverage Ray's Pythonic APIs to run workloads across GPUs and CPUs at any scale. The platform offers tools for optimizing performance, managing resources, and deploying AI applications in various environments, including cloud, on-premise, and hybrid setups. Users can get started with a $100 credit and explore the platform's features through demos and expert consultations.

Key Features

• RayTurbo: A supercharged version of Ray for optimized AI compute.
• Compute Governance: Tools to manage and govern AI usage.
• Developer Tooling: World-class tooling to delight developers.
• Flexible Deployment: Support for any cloud, accelerator, and stack.

Use Cases

• Scaling distributed ML workloads across GPUs and CPUs.
• Building AI applications with lasting impact.
• Maximizing throughput for optimized cost.
• Parallelizing thousands of small- and mid-sized models.