Azure Stack Edge

Azure managed appliance that brings the compute, storage, and intelligence of Azure to the edge

An edge computing appliance managed by Azure

Azure Stack Edge, previously Azure Data Box Edge, brings the compute power and intelligence of Azure right to where you need it—whether that’s your corporate data center, your branch office, or your remote field asset.

Azure Data Box Gateway is a virtual appliance that enables you to seamlessly send data to Azure. It can be deployed on your choice of virtual environment.

Get faster insights with edge computing

Speed up time to results by processing data close to its source without adding latency from a round trip to the cloud. Azure Stack Edge runs containers to analyze, transform, and filter data at the edge locations or datacenters. The IoT Edge container platform is used to provision and manage containers. Only send the data or query results the you need to the cloud for further processing or storage.

NEW Azure Stack Edge will also support VMs and Kubernetes clusters so that you have a single platform to run most of your edge compute workloads, be it net-new container based applications or the existing VM based applications.

Run machine learning models close to the source

Get near real-time insights with hardware-accelerated machine learning capabilities through FPGA or GPU NEW. Build and train machine learning models in Azure; run the models in Azure Stack Edge; and upload the full dataset or a subset to the cloud to retrain your models and make your edge devices smarter.

Manage your edge appliance through the Azure portal

Order your appliance from the Azure portal and pay for it as you go, just like any other Azure service. Azure Stack Edge allows you to use the same management portal, access credentials, and development tools across your cloud and edge environments. You can configure, monitor, patch and update the appliance from Azure portal.

Transfer data to Azure over the network

Azure Stack Edge acts as a cloud storage gateway and performs high-speed transfers to Azure, while retaining local access to files. With its local cache capability and bandwidth throttling to limit usage during peak business hours, Azure Stack Edge can be used to optimize your transfers to Azure when bandwidth is limited.

Choose the appliance best suited for the job

Choose the appliance model that best fits your environment and meets the edge compute requirements of the job.

Commercial series

Tailored for most commercial scenarios, such as retail stores and datacenters

NEW Rugged series

Tailored for harsh environmental or field conditions, such as in defense, disaster relief, geological surveys, and energy

Ruggedized and portable

Data Box Gateway

  • Virtual device provisioned in your hypervisor
  • Storage gateway
  • Supports SMB or NFS protocols
  • Supports Azure Blob Storage and Azure Files
  • Supports Hyper-V and VMware

Use cases

Machine learning at the edge

Azure Stack Edge helps you address latency or connectivity issues by processing data close to the source. Run Machine Learning models right at the edge locations. Transfer the data set you need, either the full data set or a subset, to Azure to retrain and continue to improve your model.

Internet of Things

Process, sort, analyze your IoT or datacenter data to determine what you can act on right away, what you need to keep and store in cloud, and what you don’t.

Network data transfer from the edge to the cloud

Easily and quickly transfer data to Azure for further compute or archival purposes or to expedite your cloud migration. Return the appliance to Microsoft when you’re done.

Edge and remote site compute

Run applications at remote locations to speed transactions and address bandwidth constraints. Local applications can still work when your connectivity to cloud is limited.

Regulatory compliance

Make sure the data you’re sending back to the cloud doesn’t violate any compliance regulations by using ML models to help alert you to potentially sensitive data and take action locally.

Get started with Azure Stack Edge or Data Box Gateway

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