> For the complete documentation index, see [llms.txt](https://nx.docs.scailable.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-manager-cloud-ui/quick-start.md).

# Cloud Quick Start

End-to-end walkthrough from logging into AI Manager Cloud to running a model on a device.

This guide walks you through the end-to-end workflow: from logging into the AI Manager Cloud admin interface to having an AI model running on your edge device. Each step links to the relevant detailed documentation.

{% hint style="info" %}
**Before you begin:** install the [AI Manager plugin](/ai-manager-v6.1.4/ai-manager-plugin/quick-start/install-server-and-client.md) on the server and connect at least one camera device.
{% endhint %}

## Step 1: Log into the AI Manager Cloud

Open the AI Manager Cloud admin interface in your browser. Enter the email address for your Nx account and click **Next**.

<figure><img src="https://2982163321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKGfC0TFSmuMDjbpLErO3%2Fuploads%2Fgit-blob-a5dcaee54bd93b7b96ca524d6344af155ce84116%2Fcloud-login.png?alt=media" alt="Log in to AI Manager Cloud dialog with an email input field and a Next button"><figcaption><p>Enter your Nx account email address; appearance varies by product variant</p></figcaption></figure>

Enter your password and click **Log In**.

<figure><img src="https://2982163321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKGfC0TFSmuMDjbpLErO3%2Fuploads%2Fgit-blob-4d3b5db8f04ed703754af1fb9789f21325e27727%2Fcloud-login-example-password.png?alt=media" alt="Log in to AI Manager Cloud dialog showing a password field for the entered email address"><figcaption><p>Enter your password to continue</p></figcaption></figure>

{% hint style="info" %}
If you see an **Unknown redirect URL** warning, the AI Manager Cloud instance you're logging into is not yet a trusted redirect target. This is expected on regression, staging, or other non-production deployments. Confirm the URL shown matches the AI Manager Cloud instance you intended to open, then click **Accept the risks and continue**.
{% endhint %}

<figure><img src="https://2982163321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKGfC0TFSmuMDjbpLErO3%2Fuploads%2Fgit-blob-9909176813404e50d98f03c742ba5cc8c5432040%2Fcloud-login-example-warning.png?alt=media" alt="Log in to AI Manager Cloud dialog showing an Unknown redirect URL warning with an Accept the risks and continue link"><figcaption><p>Accept the redirect to finish logging in, if this warning appears</p></figcaption></figure>

## Step 2: View Your Connected Sites

After logging in, the **Sites** page lists all sites registered to your account, with their online/offline status.

<figure><img src="https://2982163321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKGfC0TFSmuMDjbpLErO3%2Fuploads%2Fgit-blob-a4a66adbc04f25269f04a69257e2a4a1ca15ef61%2Fcloud-sites-listing.png?alt=media" alt="AI Manager Cloud sites listing page showing multiple sites with green online and red offline status indicators"><figcaption><p>Sites listing: a green icon means a site is online and ready to manage; a red icon means it is offline.</p></figcaption></figure>

Click an online site (green indicator) to open it.

{% content-ref url="/pages/QceL086952s6GC2V64zH" %}
[Deployment and device management](/ai-manager-v6.1.4/ai-manager-cloud-ui/deployment-and-device-management.md)
{% endcontent-ref %}

## Step 3: Find Your Device

Inside a site, the **Devices** tab lists all cameras and devices. Each device shows its currently assigned model pipeline.

<figure><img src="https://2982163321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKGfC0TFSmuMDjbpLErO3%2Fuploads%2Fgit-blob-2ccda4f3474f63b8369e0b6f615d568958d19663%2Fcloud-site-devices.png?alt=media" alt="A site&#x27;s device list showing cameras with their assigned model pipelines and Clone This Pipeline buttons"><figcaption><p>Site devices: each device shows its current pipeline. Click Pipelines to open the device detail page.</p></figcaption></figure>

Click a device to open its detail page.

## Step 4: Assign a Model Pipeline to Your Device

On the device detail page, click **Pipelines** to manage the model pipelines running on that device. Use **Add a new pipeline** to assign a model, or the replace button to swap the existing one.

<figure><img src="https://2982163321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKGfC0TFSmuMDjbpLErO3%2Fuploads%2Fgit-blob-a764fef864e3681847b3251bb25ca542c85776e0%2Fcloud-device-pipeline.png?alt=media" alt="Device detail page showing the current model pipeline with Add A New Pipeline, Switch, Remove, and Add Chained Model buttons, plus sensitivity and postprocessor controls"><figcaption><p>Device pipeline: use Add A New Pipeline or Switch to assign or replace a model.</p></figcaption></figure>

The model is downloaded to the device automatically after assignment.

## Step 5: Browse Available Models

From the sidebar, the **Models** page shows all AI models available to your account: pre-built models from the catalogue and any custom models you have uploaded.

<figure><img src="https://2982163321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKGfC0TFSmuMDjbpLErO3%2Fuploads%2Fgit-blob-1182afee8e6fec766af997841600144fd50c769b%2Fcloud-model-listing.png?alt=media" alt="The model catalogue listing page showing available AI models with their descriptions and runtime compatibility"><figcaption><p>Model catalogue: browse and search available models</p></figcaption></figure>

{% content-ref url="/pages/wFT6czVXQcaSrDjOm7aX" %}
[Use your model](/ai-manager-v6.1.4/ai-manager-cloud-ui/use-your-model.md)
{% endcontent-ref %}

## Step 6: Verify Deployment

After assigning, the device detail page confirms the deployment status. The device begins running inference within a few seconds.

<figure><img src="https://2982163321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKGfC0TFSmuMDjbpLErO3%2Fuploads%2Fgit-blob-d84529e616046c08a82f8b2138867b7511f14237%2Fcloud-model-detail.png?alt=media" alt="The model detail page showing model information and the list of devices it is currently deployed to"><figcaption><p>Model detail: confirm the model is deployed to the correct devices</p></figcaption></figure>

{% hint style="success" %}
If bounding boxes or analytics are not appearing in the Nx Meta client, check the [Troubleshooting](/ai-manager-v6.1.4/support-and-troubleshooting/troubleshooting.md) section.
{% endhint %}

## What's Next?

* [Upload your own model](/ai-manager-v6.1.4/ai-manager-cloud-ui/upload-your-model.md): convert and upload a custom ONNX or TFLite model
* [Deploy to multiple devices](/ai-manager-v6.1.4/ai-manager-cloud-ui/deployment-and-device-management.md): clone a pipeline to all devices in a site
* [Configure the plugin](/ai-manager-v6.1.4/ai-manager-plugin/configure-the-plugin.md): set input masks, ROI, and model settings in the desktop client