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Copy file name to clipboardExpand all lines: articles/databox-online/azure-stack-edge-gpu-deploy-configure-compute.md
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ms.service: databox
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ms.subservice: edge
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ms.topic: tutorial
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ms.date: 08/04/2023
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ms.date: 04/01/2024
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ms.author: alkohli
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# Customer intent: As an IT admin, I need to understand how to configure compute on Azure Stack Edge Pro so I can use it to transform the data before sending it to Azure.
Copy file name to clipboardExpand all lines: articles/databox-online/azure-stack-edge-gpu-kubernetes-overview.md
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ms.service: databox
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ms.subservice: edge
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ms.topic: conceptual
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ms.date: 07/26/2023
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ms.date: 04/01/2024
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ms.author: alkohli
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---
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For more information on deploying Kubernetes cluster, go to [Deploy a Kubernetes cluster on your Azure Stack Edge device](azure-stack-edge-gpu-create-kubernetes-cluster.md). For information on management, go to [Use kubectl to manage Kubernetes cluster on your Azure Stack Edge device](azure-stack-edge-gpu-create-kubernetes-cluster.md).
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### Kubernetes and IoT Edge
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This feature has been deprecated. Support will end soon.
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All new deployments of IoT Edge on Azure Stack Edge must be on a Linux VM. For detailed steps, see [Deploy IoT runtime on Ubuntu VM on Azure Stack Edge](azure-stack-edge-gpu-deploy-iot-edge-linux-vm.md).
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### Kubernetes and Azure Arc
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Azure Arc is a hybrid management tool that will allow you to deploy applications on your Kubernetes clusters. Azure Arc also allows you to use Azure Monitor for containers to view and monitor your clusters. For more information, go to [What is Azure Arc-enabled Kubernetes?](../azure-arc/kubernetes/overview.md). For information on Azure Arc pricing, go to [Azure Arc pricing](https://azure.microsoft.com/services/azure-arc/#pricing).
Copy file name to clipboardExpand all lines: articles/databox-online/azure-stack-edge-pro-2-deploy-configure-compute.md
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# Customer intent: As an IT admin, I need to understand how to configure compute on Azure Stack Edge Pro so I can use it to transform the data before sending it to Azure.
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3. On the **Configure Edge compute** blade, input the following information:
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|Field |Value |
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|---------|---------|
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|Subscription |Select a subscription for your IoT Hub resource. You can use the same subscription as that used by the Azure Stack Edge resource. |
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|Resource group |Select a resource group for your IoT Hub resource. You can use the same resource group as that used by the Azure Stack Edge resource. |
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|IoT Hub | Choose from **New** or **Existing**. <br> By default, a Standard tier (S1) is used to create an IoT resource. To use a free tier IoT resource, create one and then select the existing resource. <br> In each case, the IoT Hub resource uses the same subscription and resource group that is used by the Azure Stack Edge resource. |
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|Name |Accept the default name or enter a name for your IoT Hub resource. |
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4. When you finish the settings, select **Review + Create**. Review the settings for your IoT Hub resource, and select **Create**.
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Resource creation for an IoT Hub resource takes several minutes. After the resource is created, the **Overview** indicates the Kubernetes service is now running.
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3. After the resource is created, the **Overview** indicates that the Kubernetes service is online.
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When the Edge compute role is set up on the Edge device, it creates two devices: an IoT device and an IoT Edge device. Both devices can be viewed in the IoT Hub resource. An IoT Edge Runtime is also running on this IoT Edge device. At this point, only the Linux platform is available for your IoT Edge device.
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It can take 20-30 minutes to configure compute because, behind the scenes, virtual machines and a Kubernetes cluster are being created.
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After you have successfully configured compute in the Azure portal, a Kubernetes cluster and a default user associated with the IoT namespace (a system namespace controlled by Azure Stack Edge) exist.
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It can take 20-30 minutes to configure compute because, behind the scenes, virtual machines, and a Kubernetes cluster are being created.
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