> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/ai-workbench/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/ai-workbench/_mcp/server.

> 'AI Workbench Walkthrough: Project Dashboard for Onboarding, Monitoring

# Walkthrough: Project Dashboard for Onboarding, Monitoring and Managing Your Project

This walkthrough introduces you to the [Project Dashboard in NVIDIA AI Workbench](https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/workbench/), where you can monitor and manage GPU usage, disk utilization, and project environment changes. For the full list of quickstarts, see [Quickstart Guides](/ai-workbench/quickstart/overview).

Each project in AI Workbench has a **Project Dashboard**—a central location to track project activity and get started quickly. This walkthrough will guide you through the **Tutorial Project Dashboard**, showing how to interact with key features.

In this walkthrough, you will use the AI Workbench Desktop Application to perform the following tasks:

1. [Open the Tutorial Project](/ai-workbench/quickstart/quickstart-dashboards#open-the-tutorial-project)
2. [Modifying the Get Started Section](/ai-workbench/quickstart/quickstart-dashboards#modifying-the-get-started-section)
3. [View Application State and Start and Stop Applications](/ai-workbench/quickstart/quickstart-dashboards#view-application-state-and-start-and-stop-applications)

## Prerequisites

Before starting, ensure you have the following:

1. NVIDIA AI Workbench is installed on your local system.
2. The **Tutorial Project** successfully cloned and available in your local Workbench.

## Open the Tutorial Project

1. Start AI Workbench and select the *local* location.

2. Open the Tutorial project from the list of available projects.

3. The **Project Dashboard** automatically opens, providing an overview of the project, system resources, and environment status.

   <img src="/ai-workbench/_fern-img/dbb5709ac38cec641d21e7f2f1624bc34ad9d02ec86c17bf2b0c433d14bee440.webp" alt="" width="768" />

## Modifying the Get Started Section

At the top of the Project Dashboard, the **Get Started** section provides onboarding instructions for new users.

- This section pulls content from the project's *README* file.
- Only text under the **## Get Started** markdown block appears in this section.
- You can customize this section by editing the *README* file.

Try it out:

1. In the **Project Dashboard**, click **View README** to go to the file browser.
2. Click the three dots **...** on the right side to open a pop-up file editor for the README.
3. Locate the **## Get Started** section in the markdown text. Delete the header but leave the rest of the text.
4. Click **Save** and return to the **Project Dashboard**. The **Get Started** section should be gone.
5. Reopen the README.md file, restore the **## Get Started** header, and save it again.
6. Go back to the **Project Dashboard**—the **Get Started** section should reappear.

## View Application State and Start and Stop Applications

Your dashboard includes dedicated cards to help you manage your containerized environment and its associated applications. These cards give you an overview of the system's current state and allow you to start and stop the individual components.

1. Go to the **Project Dashboard** - Locate the **Applications** section under the **Project Container** card.
2. Locate the application you want to manage.
3. To start the app, toggle the switch to **Running** or click the **Start** button.
4. To stop the app, toggle the switch to **Stopped** or click the **Stop** button.

The application's status updates in real time, allowing you to monitor and manage workloads effortlessly.

## Related Topics

- [Basic Quickstart](/ai-workbench/quickstart/quickstart-basic)
- [Walkthrough: Customize Your Environment (CLI)](/ai-workbench/quickstart/quickstart-environment-cli)
- [Advanced Walkthrough: Hybrid RAG](/ai-workbench/quickstart/quickstart-hybrid-rag)
- Explore [NVIDIA AI Workbench Example Projects](/ai-workbench/quickstart/example-projects)
- Explore the [NVIDIA Developer Forum](https://forums.developer.nvidia.com/c/ai-data-science/nvidia-ai-workbench/671)

**Learn the Concepts**

- [How to Work with AI Workbench Projects](/ai-workbench/how-to/projects/overview)
- [Add a Brev Instance](/ai-workbench/how-to/locations/add-brev)
- [Integrations and Credentials](/ai-workbench/reference/faq#integrations-and-credentials)
- [Applications](/ai-workbench/concepts/application-concept)