# How to Launch AI Notebook?

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### Video

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From the left menu, select **AI Notebook**. It takes about 1–2 minutes for the notebook to start.

[![Alt text](https://fptcloud.com/wp-content/uploads/2025/09/Screenshot-2025-09-23-at-00.09.41.png)](https://fptcloud.com/wp-content/uploads/2025/09/Screenshot-2025-09-23-at-00.09.41.png)

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When it’s ready, your browser will automatically open the **AI Notebook** Launcher. If the pop-up is blocked, click **Open AI Notebook** to enter the Launcher.

[![Alt text](https://fptcloud.com/wp-content/uploads/2025/09/Screenshot-2025-09-23-at-00.09.41.png)](https://fptcloud.com/wp-content/uploads/2025/09/Screenshot-2025-09-23-at-00.09.41.png)

### [![Alt text](https://fptcloud.com/wp-content/uploads/2025/09/image-1.png)](https://fptcloud.com/wp-content/uploads/2025/09/image-1.png) <a href="#contentify_0" id="contentify_0"></a>

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### Launcher Overview <a href="#contentify_1" id="contentify_1"></a>

The Launcher is your starting point in **JupyterLab**. It lets you create new notebooks, open consoles, and select the type of resources (CPU or GPU) to run your work.\
[![Alt text](https://fptcloud.com/wp-content/uploads/2025/09/Screenshot-2025-09-22-at-23.03.54.png)](https://fptcloud.com/wp-content/uploads/2025/09/Screenshot-2025-09-22-at-23.03.54.png)

**1. Quick Access on the Navigation Bar**

* **File Browser**\
  Your workspace hub for managing files and folders in the AI Notebook environment. Quickly open, rename, delete, or organize your files.
* **Running Kernels / Notebooks**\
  Displays all active kernels and open notebooks. Use it to monitor sessions, check GPU/CPU usage, and stop idle ones to free resources.
* **Table of Contents**\
  Gives a structured view of your notebook’s sections. Easily jump between headings without scrolling through long notebooks.
* **GPU Kernel Management**\
  Controls and monitors GPU kernels. Check GPU allocation/usage status and shut down unused GPU kernels.
* **Extensions Manager**\
  Lets you extend your AI Notebook with extra tools and integrations. Install, enable, or disable extensions like Git or code formatters to enhance productivity.

**2. Notebook and Console Options**

**Notebook Section**\
Use this when you want an interactive, code-plus-output environment. Ideal for developing, visualizing, and documenting code with Markdown, charts, and notes.\
Choose a new notebook session with different resources:

* CPU (Free)
* 1x GPU H100 SXM5
* 2x GPU H100 SXM5
* 4x GPU H100 SXM5
* 8x GPU H100 SXM5

**Console Section**\
Use this when you only need a lightweight, command-line interface to run quick scripts or test snippets — no rich text or visual output.\
Start a console session (command line + code execution) with the same resource options.

**Other Section**\
Create additional files like:

* Text File
* Markdown File
* Python File

**3. Resource Selection & Pricing Panel**

* Reminder: Disconnect and delete unused runtimes to avoid extra costs.
* Displays available GPU configurations with details (CPU, RAM, VRAM, cost per hour).
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# Agent Instructions: Querying This Documentation

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

```
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```

The question should be specific, self-contained, and written in natural language.
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.