---
title: "AI Deploy - App concept (EN)"
description: "Découvrez le concept des apps AI Deploy"
url: https://docs.ovhcloud.com/fr/guides/public-cloud/ai-machine-learning/ai-deploy-apps
lang: fr
lastUpdated: 2023-12-04
---
# AI Deploy - App concept (EN)

## Definition

An **app** in **AI Deploy** is the workload unit submitted to the cluster. An **app** runs as a Docker container within the OVHcloud infrastructure.

Each AI Deploy app is linked to a **Public Cloud** project and specifies an amount of resources to use to run the inference task along with a Docker image either publicly available, in the **AI Deploy** shared registry scoped to your project or the private registry of your choosing that you added. For the latter, see the [OVHcloud documentation on how to add, use and manage registries](/fr/guides/public-cloud/ai-machine-learning/ai-manage-registries.md).

## Considerations

:::warning
An app will run indefinitely until manual interruption.
:::

- [Data](/fr/guides/public-cloud/ai-machine-learning/ai-data.md) can be attached to an app to serve as input (e.g. model weights).
- If you do not customize your resource request, the default requested is 1 GPU (Tesla V100S). Memory is not customizable.
- [Scaling](/fr/guides/public-cloud/ai-machine-learning/ai-deploy-apps-deployments.md) for applications depends on the chosen configuration. It can be **static** or **automatic**, and is based on a trigger threshold according to the metric chosen by the user.
- [Billing](/fr/guides/public-cloud/ai-machine-learning/ai-deploy-billing.md) for **apps** is minute-based and applies during the `SCALING` and `RUNNING` states of the application. Each commenced minute is billed completely.
- You can read further on app limitations [here](/fr/guides/public-cloud/ai-machine-learning/ai-deploy-capabilities.md).

## Under the hood

**Apps** in **AI Deploy** are Docker containers within the OVHcloud infrastructure.

## App lifecycle

During its lifetime, the app will transit between the following states:

:::info
Only the `RUNNING` and `SCALING` time of the app **is billed**. For more information about apps billing, refer to this [documentation](/fr/guides/public-cloud/ai-machine-learning/ai-deploy-billing.md).
:::

- `QUEUED`: The app deployment request is about to be processed.
- `INITIALIZING`: The app is being started and, if any, the remote data is synchronized.
- `RUNNING`: The app is running, you can connect to it, compute resources (GPUs/CPUs) are allocated to your specific app and an HTTP endpoint is available.
- `SCALING`: The app deployment is scaling up or down, depending of the scaling configuration. While scaling, the app is still available if it was running before.
- `STOPPING`: The app is stopping, your compute resources are freed and ephemeral data is deleted.
- `STOPPED`: The app ended normally and you can restart it whenever you want or delete it.
- `FAILED`: The app ended in error, e.g. the Docker image is invalid (unreachable, built with Linux/ARM, etc).
- `ERROR`: The app ended due to a backend error (issue on OVHcloud side).
- `DELETING`: The app is being removed.
- `DELETED`: The app is fully deleted.

![image](/images/public-cloud/ai-machine-learning/deploy-guide-09-concepts-apps/apps_concept.svg)
## Go further

- You can check the [OVHcloud documentation on how to create a data container](/fr/guides/storage-and-backup/object-storage/pcs-create-container.md).
- You can check the [OVHcloud documentation on how to submit an app](/fr/guides/public-cloud/ai-machine-learning/ai-deploy-getting-started.md).

If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](https://www.ovhcloud.com/fr/professional-services/) to get a quote and ask our Professional Services experts for a custom analysis of your project.

## Feedback

Please send us your questions, feedback and suggestions to improve the service:

- On the OVHcloud [Discord server](https://discord.gg/ovhcloud)