Jobs
Check your docs version
These docs are for the new Anyscale design. If you started using Anyscale before April 2024, use Version 1.0.0 of the docs. If you're transitioning to Anyscale Preview, see the guide for how to migrate.
Run discrete workloads in production such as batch inference, bulk embeddings generation, or model fine-tuning.
Anyscale Jobs allow you to submit applications developed on workspaces to a standalone Ray cluster for execution. Built for production and designed to fit into your CI/CD pipeline, jobs ensure scalable and reliable performance.
How does it work?
When you’re ready to promote an app to production, submit a job from the workspace using anyscale job submit. Anyscale Jobs have the following features:
- Scalability: Rapid scaling to thousands of cloud instances, adjusting computing resources to match application demand.
- Fault tolerance: Retries for failures and automatic rescheduling to an alternative cluster for unexpected failures like running out of memory.
- Monitoring and observability: Persistent dashboards that allow you to observe tasks in real time and email alerts upon successful job completion.
Get started
- Sign in or sign up for an account.
- Select the Intro to Jobs example.
- Select Launch.
- This example runs in a Workspace. See Workspaces for background information.
- Follow the notebook or view it in the docs.
- Terminate the Workspace when you're done.
