# AI Applications

This guide explains the procedure for managing AI applications.

## AI Applications Table

The AI applications table can be found under **Workload manager** in the NVIDIA Run:ai platform.

The AI applications table provides a list of all the AI applications scheduled on the NVIDIA Run:ai [Scheduler](/self-hosted/2.24/platform-management/runai-scheduler/scheduling/concepts-and-principles.md), and allows you to manage them.

<figure><img src="/files/1hbMfUPRqv16zNunSSKR" alt=""><figcaption></figcaption></figure>

The AI applications table consists of the following columns:

| Column                 | Description                                                                   |
| ---------------------- | ----------------------------------------------------------------------------- |
| AI application         | The name of the AI application                                                |
| Type                   | The name of the Helm chart                                                    |
| Status                 | The different [phases](#ai-application-status) in an AI application lifecycle |
| Project                | The project in which the AI application runs                                  |
| GPU compute request    | Amount of GPU devices requested                                               |
| GPU compute allocation | Amount of GPU devices allocated                                               |
| GPU memory request     | Amount of GPU memory Requested                                                |
| GPU memory allocation  | Amount of GPU memory allocated                                                |
| CPU compute request    | Amount of CPU cores requested                                                 |
| CPU compute allocation | Amount of CPU cores allocated                                                 |
| CPU memory request     | Amount of CPU memory requested                                                |
| CPU memory allocation  | Amount of CPU memory allocated                                                |

### AI Application Status

The AI application status in NVIDIA Run:ai reflects the underlying **Helm release status**.

NVIDIA Run:ai surfaces the Helm chart state as-is and maps it to the AI application lifecycle. For a complete description of Helm release states, see the [Helm ](https://helm.sh/docs/helm/helm_status/)documentation.

### Customizing the Table View

* Filter - Click ADD FILTER, select the column to filter by, and enter the filter values
* Search - Click SEARCH and type the value to search by
* Sort - Click each column header to sort by
* Column selection - Click COLUMNS and select the columns to display in the table
* Download table - Click MORE and then Click Download as CSV. Export to CSV is limited to 20,000 rows.
* Refresh - Click REFRESH to update the table with the latest data
* Show/Hide details - Click to view additional information on the selected row

### Show/Hide Details

Click a row in the AI applications table and then click the SHOW DETAILS button at the upper-right side of the action bar. The details pane appears, presenting detailed breakdown of some Kubernetes resources that belong to it. The details pane displays:

* A list of all AI application components (workloads, services, secrets, PVCs, ConfigMaps, etc.)
* Status indicators (Running, Pending, Failed, etc.) for each workload

## Managing and Monitoring

After the AI application is created, the workloads are added to the [Workloads](/self-hosted/2.24/workloads-in-nvidia-run-ai/workloads.md) table, where they can be managed and monitored.

## Using API

Go to the [AI Applications](https://run-ai-docs.nvidia.com/api/2.24/ai-applications/ai-applications) API reference to view the available actions.


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