# Notebooks How-Tos

Generated on 13 Mar 2026

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 Create Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/create-notebooks/index.html.md): Create a notebook using Paperspace’s CPU- and GPU-backed machines.

[How to Swap Machines Attached to Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/swap-machines/index.html.md): Swap and see the kernel state for machines attached to notebooks.

[How to Fork Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/fork-notebooks/index.html.md): 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](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/share-notebooks/index.html.md): Share access to Notebooks to let other users view and run your notebook.

[How to Add a Run on Gradient Badge for Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/add-run-on-gradient/index.html.md): Use a Run on Gradient URL or badge to share Gradient Notebooks on Paperspace.

## Manage Data

[How to Create Datasets for Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/create-datasets/index.html.md): Create datasets using the Paperspace console and command line.

[How to Mount Datasets in a Gradient Notebook](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/mount-datasets/index.html.md): 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](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/transfer-data-and-files/index.html.md): 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](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/connect-data-sources/index.html.md): Mount public or private S3 buckets into notebooks to access data stored externally.

## Manage Storage

[How to Set Up Storage Providers for Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/add-storage-providers/index.html.md): Add DigitalOcean Spaces Object Storage or another public storage provider.

[How to Manage Storage for Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/manage-storage/index.html.md): Manage storage in Linux-based environment.

## Configuration

[How to Use the Terminal to Access Notebook Machines](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/use-terminal/index.html.md): Access a terminal in Gradient Notebooks to use root access to the underlying machine.

[How to Connect to Remote Jupyter Kernel](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/connect-remote-kernel/index.html.md): Connect to remote Jupyter kernels through alternative IDEs.

[How to Access and Restart Jupyter Kernels](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/restart-kernels/index.html.md): How to check on Jupyter kernel states

[How to Use Custom Containers in Gradient Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/manage-containers/index.html.md): Use and configure custom containers in Gradient Notebooks to define your own runtime environment and dependencies.

## Logs and Metrics

[How to View Logs for Gradient Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/view-notebook-logs/index.html.md): Access real time and post-workload system logs for Gradient Deployments.

[How to View Metrics For Gradient Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/view-notebook-metrics/index.html.md): Access CPU usage, RAM usage, and GPU performance metrics for Gradient Notebooks.

[How to Use TensorBoard in Notebooks](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/use-tensorboard/index.html.md): Use TensorBoard, a visualization toolkit from TensorFlow, within Gradient notebooks to visualize metrics and histograms, display images, and more.