Skip to main content

Ctrl+K

Site Navigation

Get Started
Use Cases
Example Gallery
Library
Docs
Resources

Try Ray on Anyscale

Site Navigation

Get Started
Use Cases
Example Gallery
Library
Docs
Resources

Try Ray on Anyscale

Overview
Getting Started
Installation
Use Cases
- Ray for ML Infrastructure
Example Gallery
Ecosystem
Ray Core
Ray Data
Ray Train
Ray Tune
Ray Serve
Ray RLlib
More Libraries
Ray Clusters
Monitoring and Debugging
Developer Guides
Glossary
Security

Ray Train: Scalable Model Training
ray.train.ScalingConfig
ray.train.Sc...

ray.train.ScalingConfig.resources_per_worker#

ScalingConfig.resources_per_worker: Dict | SampleRange | None = None#

previous

ray.train.ScalingConfig.placement_strategy

next

ray.train.ScalingConfig.total_resources

On this page

ScalingConfig.resources_per_worker

Thanks for the feedback!

Was this helpful?

Yes

No

Feedback

Submit

© Copyright 2025, The Ray Team.

Created using Sphinx 7.3.7.

Built with the PyData Sphinx Theme 0.14.1.