> For the complete documentation index, see [llms.txt](https://paperspace.gitbook.io/gradient/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://paperspace.gitbook.io/gradient/master/notebooks/about.md).

# Overview

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This section of the documentation covers our previous generation of Gradient. For the current version go to [Gradient Next](https://docs.paperspace.com/gradient).
{% endhint %}

## What is a Notebook?

Gradient notebooks are an interactive environment (based on [Jupyter Notebook](https://jupyter.org/) or [Jupyter Lab](https://blog.jupyter.org/jupyterlab-is-ready-for-users-5a6f039b8906)) for developing and running code. You can run Jupyter notebooks on a GPU, CPU, or even a TPU.

![](https://1320806315-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-LHZRFUkajubOAmgu6Rd%2F-LxxNwUMCyxBgY7gf1dx%2F-LxxOPdVmJkD16nRmvoc%2F5d9e969e1a0436e128ff6b4b_Shot-2019-09-23-at-11.13.38-AM4.png?alt=media\&token=728c87ff-443c-42e0-9b58-b92a85de9d1e)

A Gradient *\*\**Notebook gives you access to a full Jupyter Notebook environment. Within the Notebook, you can store an unlimited number of documents and other files. You can think of a Gradient Notebook as your persistent, on-demand workspace in the cloud.

{% hint style="info" %}
**NEW!** Visit the new [ML Showcase](https://ml-showcase.paperspace.com/) for a list of sample projects you can fork into your own account.
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## File Storage

Any data stored in `/storage` will be preserved for you across restarts. Persistent storage is backed by a filesystem and is ideal for storing data like images, datasets, model checkpoints etc. Learn more about persistent storage [here](/gradient/master/data/storage.md#persistent-storage).

## Containers

Because everything is running in a Docker container behind the scenes, we support any kernel you would like. We have a handful of pre-built containers and you can easily add a custom container or build one from a base template, such as the Jupyter R stack.

View the list of pre-built containers [here](/gradient/master/notebooks/create-a-notebook/notebook-containers.md).

## Environment Variables

There are a number of environment variables loaded into a notebook's environment, which you can access and use. Probably most common is is `PS_API_KEY` , which will contain your most recently created API key (if you've created one). In combination with the Gradient SDK, this allows you to programmatically interact with Gradient.