Gradient Notebooks is a web-based Jupyter IDE with free GPUs and IPUs.
Gradient Notebooks provides a web-based Jupyter interactive development environment backed by powerful Paperspace machines. Compared to other cloud-based notebooks, Gradient provides a better startup experience, a wider selection of free and paid GPU/IPU machines, and an unrivaled path to scale into production on the Gradient platform.
Gradient Notebooks is used by data scientists and machine learning teams to explore data and code and build-out applications.
Where to start
If you're new to Gradient Notebooks, we recommend starting with the tutorial. It will help you create your first notebook and start getting acquainted with the system.
To learn how to configure a new notebook container and workspace, try the Runtimes section:
To learn about file management and persistent storage, try Files and storage:
To learn all about machines that are available to use with Gradient Notebooks, head over to the Machines section:
To learn about the terminal in Gradient Notebooks:
To learn about sharing and forking notebooks:
To learn about TensorBoard:
To learn about Run on Gradient:
To learn about accessing a remote kernel: