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

How to Manage Workflows with the Paperspace GUI and CLI

Use the Paperspace GUI and CLI to create new Workflows, import existing ones, and run them.

How to Create Datasets for Gradient Workflows

Create a new dataset for Workflows in the command line or UI.

Configuration

How to Manage Paperspace Containers

Manage containers to ensure reproducible results when using Notebooks, Workflows, and Deployments.

How to Connect to the Gradient GitHub App

The Gradient GitHub App lets you start training runs in Workflows and Deployments by listening for commits in GitHub.

How to Use the Gradient Model Repository to Manage Models

Use the Gradient Model repository to import, manage, and deploy ML models.