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Workflows How-Tos Beta

Workflows automate machine learning tasks, combining GPU instances with an expressive syntax to generate production-ready machine learning pipelines with a few lines of code.

Getting Started

Use the Paperspace GUI and CLI to create new Workflows, import existing ones, and run them.
Create a new dataset for Workflows in the command line or UI.


Manage containers to ensure reproducible results when using Notebooks, Workflows, and Deployments.
The Gradient GitHub App lets you start training runs in Workflows and Deployments by listening for commits in GitHub.
Use the Gradient Model repository to import, manage, and deploy ML models.