What is Azure Stack Edge Pro with GPU?

Azure Stack Edge Pro with GPU is an AI-enabled edge computing device with network data transfer capabilities. This article provides you an overview of the Azure Stack Edge Pro solution, benefits, key capabilities, and scenarios where you can deploy this device. The article also explains the pricing model for your device.

Azure Stack Edge Pro with GPU is a Hardware-as-a-Service solution. Microsoft ships you a cloud-managed device that acts as a network storage gateway. A built-in Graphical Processing Unit (GPU) enables accelerated AI-inferencing.

Use cases

Here are the various scenarios where Azure Stack Edge Pro GPU can be used for rapid Machine Learning (ML) inferencing at the edge and preprocessing data before sending it to Azure.

  • Inference with Azure Machine Learning - With Azure Stack Edge Pro GPU, you can run ML models to get quick results that can be acted on before the data is sent to the cloud. The full data set can optionally be transferred to continue to retrain and improve your ML models. For more information, see how to use Deploy Azure Machine Learning hardware accelerated models on Azure Stack Edge Pro GPU.

  • Preprocess data - Transform data before sending it to Azure via compute options such as containerized workloads and Virtual Machines to create a more actionable dataset. Preprocessing can be used to:

    • Aggregate data.
    • Modify data, for example to remove personal data.
    • Subset data to optimize storage and bandwidth, or for further analysis.
    • Analyze and react to IoT Events.
  • Transfer data over network to Azure - Use Azure Stack Edge Pro GPU to easily and quickly transfer data to Azure to enable further compute and analytics or for archival purposes.

Key capabilities

Azure Stack Edge Pro GPU has the following capabilities:

Capability Description
Accelerated AI inferencing Enabled by the built-in GPU (one or two depending on the model).
For more information, see GPU sharing on your Azure Stack Edge device.
Edge computing Supports VM and containerized workloads to allow analysis, processing, and filtering of data.
Data access Direct data access from Azure Storage Blobs and Azure Files using cloud APIs for additional data processing in the cloud. Local cache on the device is used for fast access of most recently used files.
Cloud-managed Device and service are managed via the Azure portal.
Offline upload Disconnected mode supports offline upload scenarios.
Supported file transfer protocols Support for standard Server Message Block (SMB), Network File System (NFS), and Representational State Transfer (REST) protocols for data ingestion.
For more information on supported versions, see Azure Stack Edge Pro GPU system requirements.
Data refresh Ability to refresh local files with the latest from cloud.
For more information, see Refresh a share on your Azure Stack Edge.
Encryption BitLocker support to locally encrypt data and secure data transfer to cloud over https.
Bandwidth throttling Throttle to limit bandwidth usage during peak hours.
For more information, see Manage bandwidth schedules on your Azure Stack Edge.
Easy ordering Bulk ordering and tracking of the device via Azure Edge Hardware Center (Preview).
For more information, see Order a device via Azure Edge Hardware Center.
Scale out Devices can be deployed as a single node or a two-node cluster. For more information, see What is clustering on Azure Stack Edge?.
Specialized network functions Use the Marketplace experience from Azure Network Function Manager to rapidly deploy network functions such as mobile packet core, SD-WAN edge, and VPN services to an Azure Stack Edge device running in your on-premises environment. For more information, see What is Azure Network Function Manager? (Preview).


The Azure Stack Edge Pro GPU solution includes the Azure Stack Edge resource, Azure Stack Edge Pro GPU physical device, and a local web UI.

  • Azure Stack Edge Pro GPU physical device - A 1U rack-mounted server supplied by Microsoft that can be configured to send data to Azure.

    To procure a device, go to the Azure Edge Hardware Center and place an order. Azure Edge Hardware Center service lets you choose from a variety of Azure Stack Edge SKUs as per your business need. You can order multiple units of a device type, ship multiple devices to different locations, save addresses for future orders, and also track the status of your orders.

    Once the order is delivered, you can configure your device and create an Azure Stack Edge resource to manage the device.

    For more information, go to Create an order for your Azure Stack Edge Pro GPU device.

    The devices can be deployed as a single node or a two-node cluster. For more information, see What is clustering for Azure Stack Edge? and how to Deploy a two-node cluster.

  • Azure Stack Edge resource – A resource in the Azure portal that lets you manage an Azure Stack Edge Pro GPU device from a web interface that you can access from different geographical locations. Use the Azure Stack Edge resource to create and manage resources, view, and manage devices and alerts, and manage shares.

  • Azure Stack Edge Pro GPU local web UI - A browser-based local user interface on your Azure Stack Edge Pro GPU device primarily intended for the initial configuration of the device. Use the local web UI also to run diagnostics, shut down and restart the Azure Stack Edge Pro GPU device, view copy logs, and contact Microsoft Support to file a service request.

    The local web UI on the device currently supports the following languages with their corresponding language codes:

    Language Code Language Code Language Code
    English {default} en Czech cs German de
    Spanish es French fr Hungarian hu
    Italian it Japanese ja Korean ko
    Dutch nl Polish pl Portuguese - Brazil pt-br
    Portuguese - Portugal pt-pt Russian ru Swedish sv
    Turkish tr Chinese - simplified zh-hans Chinese - traditional zh-hant

    For information about using the web-based UI, go to Use the web-based UI to administer your Azure Stack Edge Pro GPU.

Region availability

Azure Stack Edge Pro GPU physical device, Azure resource, and target storage account to which you transfer data don’t all have to be in the same region.

  • Resource availability - For this release, the resource is available in East US, West EU, and South East Asia regions.

  • Device availability - For a list of all the countries/regions where the Azure Stack Edge Pro GPU device is available, go to Availability section in the Azure Stack Edge Pro tab for Azure Stack Edge Pro GPU pricing.

  • Destination Storage accounts - The storage accounts that store the data are available in all Azure regions. For best performance, the regions where the storage accounts store Azure Stack Edge Pro GPU data should be close to the device location. A storage account located far from the device results in long latencies and slower performance.

Azure Stack Edge service is a non-regional service. For more information, see Regions and Availability Zones in Azure. Azure Stack Edge service doesn’t have dependency on a specific Azure region, making it resilient to zone-wide outages and region-wide outages.

For a discussion of considerations for choosing a region for the Azure Stack Edge service, device, and data storage, see Choosing a region for Azure Stack Edge.

Device availability for new customers

Azure Stack Edge devices are only available to new customers with the following use cases:

  • Validated partner workloads.
  • Large scale deployments.

Validated partner workloads

Devices are available for new customers who utilize Azure Stack Edge as an infrastructure platform to validate their solution. Partner workloads may not be supported on all devices. For details, consult your Azure Stack Edge partner.

If you already use Azure Stack Edge to run validated workloads, we support you, your solutions, and your end customers.

  • Azure Private MEC / Azure Private 5G Core offers simple, scalable, and secure deployment of private 5G core networks within the Azure private multi-access edge compute solution. There's an additional screening process to be approved as an Azure PMEC customer.
  • Azure Orbital Cloud Access for Azure Government solutions enables connectivity from the cloud wherever businesses and public sector organizations need it. Azure Orbital Cloud Access provides low-latency, one hop access to the cloud from anywhere on the planet, making it easier to bring satellite-based communications into your enterprise cloud operation.
  • SAP Digital Manufacturing Cloud (DMC) is a cloud-based marketing execution system designed to provide the link between production and business in supply chain management.
  • Azure Government – We continue to facilitate and support Azure Government customers and the Defense Industrial Base.

Large scale deployments

Azure Stack Edge is optimized for edge scenarios that typically involve hundreds or thousands of devices across a high number of locations. Our hardware as a service solution is only available for deployments of at least 100 nodes.

Next steps for existing customers with qualified workloads

  • Submit an Azure Stack Edge sign-up form via Azure portal.

Next steps for alternate edge solutions

Use the following links to get information about alternate infrastructure solutions:

Billing model

The users are charged a monthly, recurring subscription fee for an Azure Stack Edge device. In addition, there’s a onetime fee for shipping. There’s no on-premises software license for the device although guest virtual machine (VMs) may require their own licenses under Bring Your Own License (BYOL).

Currency conversion and discounts are handled centrally by the Azure Commerce billing platform, and you get one unified, itemized bill at the end of each month.

Standard storage rates and transaction fees are charged separately as applicable. Monthly subscription fee billing starts after delivery whether the appliance is activated or not.

The billing happens against the order resource. If you activate the device against a different resource, the order and billing details move to the new resource.

For more information, see FAQ: Billing for Azure Stack Edge Pro GPU.

Next steps