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parallel #89098
This is a parallel set of changes to #89098 - the duplicate text suggests a shared include could work here like for the compute include, but I'm not 100% sure that's the case.
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articles/databox-online/azure-stack-edge-gpu-deploy-configure-compute.md

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@@ -45,21 +45,19 @@ Before you set up a compute role on your Azure Stack Edge Pro device, make sure
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To configure a client to access Kubernetes cluster, you will need the Kubernetes endpoint. Follow these steps to get Kubernetes API endpoint from the local UI of your Azure Stack Edge Pro device.
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1. In the local web UI of your device, go to **Devices** page.
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2. Under the **Device endpoints**, copy the **Kubernetes API service** endpoint. This endpoint is a string in the following format: `https://compute.<device-name>.<DNS-domain>[Kubernetes-cluster-IP-address]`.
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1. In the local web UI of your device, go to **Device** page.
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2. Under the **Device endpoints**, copy the **Kubernetes API** endpoint. This endpoint is a string in the following format: `https://compute.<device-name>.<DNS-domain>[Kubernetes-cluster-IP-address]`.
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![Device page in local UI](./media/azure-stack-edge-gpu-create-kubernetes-cluster/device-kubernetes-endpoint-1.png)
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3. Save the endpoint string. You will use this endpoint string later when configuring a client to access the Kubernetes cluster via kubectl.
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4. While you are in the local web UI, you can:
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- Go to Kubernetes API, select **advanced settings**, and download an advanced configuration file for Kubernetes.
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- If you have been provided a key from Microsoft (select users may have a key), go to Kubernetes API, select **Advanced config**, and download an advanced configuration file for Kubernetes.
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![Device page in local UI 1](./media/azure-stack-edge-gpu-deploy-configure-compute/download-advanced-config-1.png)
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If you have been provided a key from Microsoft (select users may have a key), then you can use this config file.
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![Device page in local UI 2](./media/azure-stack-edge-gpu-deploy-configure-compute/download-advanced-config-2.png)
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- You can also go to **Kubernetes dashboard** endpoint and download an `aseuser` config file.

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