> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/other/ai-notebook/overview.md).

# Overview

{% embed url="<https://www.youtube.com/watch?v=pA7-Xuhotr0>" %}

### What is AI Notebook? <a href="#contentify_0" id="contentify_0"></a>

AI Notebook is a Jupyter-based development environment running on FPT’s AI Factory infrastructure. With one click, you can launch a pre-configured notebook server with GPU/CPU resources and persistent storage.

### How does it work? <a href="#contentify_1" id="contentify_1"></a>

Each AI Notebook runs in an isolated, containerized environment connected to FPT’s GPU/CPU infrastructure. JupyterLab is used as the main interface for writing, running, and visualizing code in the browser.

### Why AI Notebook? <a href="#contentify_2" id="contentify_2"></a>

1. **1-Click Deployment:** Launch a ready-to-use environment without manual setup.
2. **GPU-Accelerated:** Use NVIDIA H100 (80GB VRAM) for compute-intensive training and inference.
3. **Persistent Workspace:** Store datasets, models, and experiments that remain available across sessions.
4. **Granular Pricing:** Resources are billed based on actual usage (CPU, GPU, storage).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://ai-docs.fptcloud.com/other/ai-notebook/overview.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.