User Guides¶
This section explains how to use Ray’s key concepts to build distributed applications.
If you’re brand new to Ray, we recommend starting with the walkthrough.
- Tasks
- Actors
- Specifying required resources
- Calling the actor
- Passing Around Actor Handles
- FAQ: Actors, Workers and Resources
- More about Ray Actors
- Objects
- Placement Groups
- Environment Dependencies
- Concepts
- Preparing an environment using the Ray Cluster launcher
- Runtime environments
- Remote URIs
- Hosting a Dependency on a Remote Git Provider: Step-by-Step Guide
- Debugging
- Design Patterns & Anti-patterns
- Pattern: Using generators to reduce heap memory usage
- Pattern: Using ray.wait to limit the number of in-flight tasks
- Anti-pattern: Calling ray.get in a loop harms parallelism
- Anti-pattern: Calling ray.get unnecessarily harms performance
- Anti-pattern: Processing results in submission order using ray.get increases runtime
- Anti-pattern: Over-parallelizing with too fine-grained tasks harms speedup
- Anti-pattern: Redefining the same remote function or class harms performance
- Anti-pattern: Passing the same large argument by value repeatedly harms performance
- Advanced Topics