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Concepts

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This version of the Anyscale docs is deprecated. Go to the latest version for up to date information.

Anyscale Cloud​

An Anyscale Cloud is a defined deployment area in your AWS accounts or GCP projects where you can launch Ray clusters.

  • Features
    • Options to deploy across various cloud providers and regions inside your organization.
  • Learn more ➡️ Overview of Anyscale Cloud

Workspaces​

Anyscale Workspaces provide fully managed development environments, integrating popular tools like Visual Studio Code and JupyterLab Notebooks.

  • Features
    • Auto-scaling compute resources
    • Streamlined package distribution
    • A seamless code-test-debug cycle in the Anyscale Cloud
  • Learn more ➡️ Get started with Workspaces

Jobs​

Anyscale Jobs are discrete batch operations managed by Anyscale and running in their own Ray clusters.

  • Features
    • Full lifecycle management of Ray clusters
    • Built-in retry mechanisms
    • Customizable alerting and scheduling options
  • Learn more ➡️ Get started with Anyscale Jobs

Services​

Anyscale Services serve your models behind endpoints in a high-available manner with support for zero downtime upgrade, performance monitoring, and alerting.

Interfaces​

Anyscale is accessible through four interfaces:

  • Web UI - Accessible at console.anyscale.com.
  • CLI - Install with pip install anyscale.
  • Python SDK - Also install with pip install anyscale.
  • HTTP API - Programmatic access in any language.