> For the complete documentation index, see [llms.txt](https://run-ai-docs.nvidia.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://run-ai-docs.nvidia.com/saas/resources/videos/how-to-run-a-jupyter-notebook-using-workspaces.md).

# How to Run a Jupyter Notebook Using Workspaces

## Interactive Workspaces

Learn how to launch and manage Jupyter Notebook environments with NVIDIA Run:ai Workspaces.

{% embed url="<https://www.youtube.com/watch?v=XwSgU-Atb_Y>" %}

{% hint style="info" %}
**Note**

This video was recorded using NVIDIA Run:ai version 2.25.9. The user interface, features, and workflows may differ in newer releases. For the latest information, refer to the current documentation.
{% endhint %}

### What You'll Learn:

* Create interactive AI development environments
* Attach GPU resources to a workspace
* Launch and connect to Jupyter Notebook environments
* Support collaborative data science and machine learning workflows
* Manage workspace-based experimentation in NVIDIA Run:ai

### Related Documentation:

Follow the validated quickstart in the product documentation: [Running Jupyter Notebooks Using Workspaces](/saas/workloads-in-nvidia-run-ai/using-workspaces/quick-starts/jupyter-quickstart.md)


---

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