> 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/use-your-model.md). # Use your model Assign an uploaded model to a device and verify it is running. After [uploading a model](/ai-manager-v6.1.4/ai-manager-cloud-ui/upload-your-model.md) to the AI Manager Cloud, it becomes available to assign to any device in your account. Follow these steps to assign it and verify deployment. ## Step 1: Find the Model in the Catalogue From the sidebar, open the **Models** page. Your uploaded model appears in the list alongside the pre-built catalogue models.
The AI Manager Cloud model catalogue listing page showing available models including custom uploaded ones

Models page: your uploaded model appears here once conversion is complete

## Step 2: Assign the Model to a Device Navigate to **Sites**, select an online site, then open the **Devices** tab and click a device. On the device detail page, click **Add a New Pipeline** (or the replace button on an existing pipeline) to open the model catalogue in assignment mode.
Device detail page showing the current model pipeline with Clone This Pipeline, Add A New Pipeline, Switch, Remove, and Add Chained Model buttons

Device detail page: click Add A New Pipeline or Switch to assign or replace a model.

Find your model and click **Add to Pipeline**. The model is deployed to the server hosting that device in the background.
Add or replace model dialog with a spinner and a message that the selected model will be deployed to all devices on the server in the background

Deployment in progress: this runs in the background and may take a few seconds depending on model size.

## Clone a Pipeline to Multiple Devices Once one device has a pipeline configured, you can copy it to other devices on the same site without opening each device individually. From the site **Devices** list, hover over a device row to reveal the **Clone This Pipeline** button. Click **Clone This Pipeline**. A banner at the top of the page confirms which pipeline is being cloned. Tick the checkboxes next to the devices you want to receive the pipeline.
Site devices list with an Assign This Pipeline To 2 Devices button on the source device's row and two target devices checked below it

Select the target devices, then click Assign This Pipeline to continue.

A confirmation dialog warns that existing pipelines on the selected devices will be overwritten. Click **Confirm** to proceed.
Confirm pipeline replacement dialog asking if you are sure you want to replace the selected pipelines, with Confirm and Cancel buttons

Confirm the replacement: this overwrites any existing pipeline on the selected devices.

After confirming, the pipeline is deployed to all selected devices. The source device's page confirms the pipeline that was cloned.
Device detail page confirming the pipeline that was cloned to the selected devices

The pipeline is now cloned to the selected devices.

## Chain Multiple Models A pipeline can run more than one model in sequence. For example, a detector can find people in the frame, and a second model can then classify or recognize each detected person.
Device detail page showing a pipeline with a root model and a chained model, with a chaining method dropdown set to Feature Extraction

A pipeline with a chained model: the second model processes the output of the first.

See [Model pipelines on multiple devices](/ai-manager-v6.1.4/ai-manager-plugin/configure-the-plugin/multiple-model-pipelines.md) for details on chaining methods and cloning a multi-model pipeline to other devices. ## Step 3: Verify Deployment After assignment, the device detail page shows the active pipeline. {% hint style="success" %} The model is now running on the device. Open the Nx Meta Client, switch to the **Objects** tab for that camera. The model's output (bounding boxes, overlays, or counts) appears within a few seconds. {% endhint %} If nothing appears, check the [Troubleshooting](/ai-manager-v6.1.4/support-and-troubleshooting/troubleshooting.md) section.