> 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-v6.1.3/ai-cloud-ui/quick-start.md).

# Cloud Quick Start

This guide walks you through the end-to-end workflow: from logging into the AI 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:** make sure you have the [AI Manager plugin installed](/ai-manager-v6.1.3/ai-manager-plugin/install-network-optix.md) on your server and at least one camera device connected.
{% endhint %}

***

## Step 1: Log into the AI Cloud

Open the AI Cloud admin interface in your browser. Log in with your Nx account credentials.

<figure><img src="/files/iiXdYw1l83MhYbF5Osbg" alt="The AI Cloud admin interface login screen"><figcaption><p>The AI Cloud admin interface; appearance varies by product variant</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="/files/saye4aGZnKEsYY0taFn2" alt="AI 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-v6.1.3/ai-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="/files/ucZ1eq0yo0sFOMHrLfjA" 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="/files/BM6SiJLWRVnVpl71PJWc" 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="/files/GI42RUjfjeHdVZnnNXWr" 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-v6.1.3/ai-cloud-ui/use-your-model.md)
{% endcontent-ref %}

***

## Step 6: Verify deployment

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

<figure><img src="/files/bLUzK41b03EQOgdKkQcn" 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-v6.1.3/support-and-troubleshooting/troubleshooting.md) section.
{% endhint %}

***

## What's next?

* [Upload your own model](/ai-manager-v6.1.3/ai-cloud-ui/upload-your-model.md): convert and upload a custom ONNX or TFLite model
* [Deploy to multiple devices](/ai-manager-v6.1.3/ai-cloud-ui/deployment-and-device-management.md): clone a pipeline to all devices in a site
* [Configure the plugin](/ai-manager-v6.1.3/ai-manager-plugin/configure-the-plugin.md): set input masks, ROI, and model settings in the desktop client