How to Create Notebooks
Create a notebook using Paperspace’s CPU- and GPU-backed machines.
Notebooks How-Tos
Generated on 23 May 2025
Notebooks are a web-based Jupyter IDE with shared persistent storage for long-term development and inter-notebook collaboration, backed by accelerated compute.
Getting Started
How to Swap Machines Attached to Notebooks
Swap and see the kernel state for machines attached to notebooks.
How to Fork Notebooks
Fork a notebook to create a clone of a public notebook into your workspace or to duplicate a notebook already in your workspace.
Collaboration
How to Share Notebooks
Share access to Notebooks to let other users view and run your notebook.
How to Add a Run on Gradient Badge for Notebooks
Use a Run on Gradient URL or badge to share Gradient Notebooks on Paperspace.
Manage Data
How to Create Datasets for Notebooks
Create datasets using the Paperspace console and command line.
How to Mount Datasets in a Gradient Notebook
Mount existing team datasets, public datasets, and create new team datasets to explore data and training models.
How to Upload and Download Datasets and Files from Gradient Notebooks
Upload and download files from the file manager, transfer files from Google Drive to your notebook, and access shared persistent storage.
How to Connect S3-Compatible Data Sources to Notebooks
Mount public or private S3 buckets into notebooks to access data stored externally.
Manage Storage
How to Set Up Storage Providers for Notebooks
Add DigitalOcean Spaces Object Storage or another public storage provider.
How to Manage Storage for Notebooks
Manage storage in Linux-based environment.
Configuration
How to Use the Terminal to Access Notebook Machines
Access a terminal in Gradient Notebooks to use root access to the underlying machine.
How to Connect to Remote Jupyter Kernel
Connect to remote Jupyter kernels through alternative IDEs.
How to Access and Restart Jupyter Kernels
How to check on Jupyter kernel states
Manage Containers
Manage containers to ensure reproducible results when using Notebooks, Workflows, and Deployments.
Logs and Metrics
How to View Logs for Gradient Notebooks
Access real time and post-workload system logs for Gradient Deployments.
How to View Metrics For Gradient Notebooks
Access CPU usage, RAM usage, and GPU performance metrics for Gradient Notebooks.
How to Use TensorBoard in Notebooks
Use TensorBoard, a visualization toolkit from TensorFlow, within Gradient notebooks to visualize metrics and histograms, display images, and more.