Unlock the Power of Azure Stack Edge for IoT and Data

Azure Stack Edge is a powerful solution for IoT and data-intensive applications. It's a compact, rugged device that can be easily integrated into any environment.

This device is capable of processing data in real-time, which is crucial for IoT applications that require fast processing and decision-making. It can handle large amounts of data, making it an ideal solution for industries such as manufacturing, healthcare, and finance.

With Azure Stack Edge, you can store, process, and analyze data locally, reducing latency and improving overall system performance. This is especially important for applications that require low-latency processing, such as video analytics and predictive maintenance.

Azure Stack Edge is a cloud-managed device that combines network storage and edge computing capabilities. It's essentially a Hardware-as-a-service solution that Microsoft ships to you.

Azure Stack Edge is designed to enable accelerated AI-inferencing and has all the capabilities of a network storage gateway. This makes it a powerful tool for processing data at the edge of your network.

Azure Stack Edge is built on top of a Field Programmable Gate Array (FPGA) that allows for accelerated processing. This FPGA is a key component of the Azure Stack Edge Pro with FPGA solution.

The Azure Data Box Edge is actually rebranded as Azure Stack Edge, so if you've been using Data Box Edge, you're already familiar with the concept.

Azure Stack Edge offers a range of key features that make it an attractive solution for edge computing and AI inferencing.

One of the key capabilities of Azure Stack Edge is accelerated AI inferencing, which is enabled by the built-in GPU, FPGA, or compute acceleration card depending on the model.

Accelerated AI inferencing allows for faster processing of data, making it ideal for applications such as image recognition and natural language processing.

Azure Stack Edge also supports edge computing, which enables analysis, processing, and filtering of data in real-time.

Edge computing is supported through VM and containerized workloads, making it easy to deploy and manage applications.

Data access is another key feature of Azure Stack Edge, allowing direct access to Azure Storage Blobs and Azure Files using cloud APIs.

This enables additional data processing in the cloud, and local cache on the device is used for fast access of most recently used files.

Azure Stack Edge devices can be managed via the Azure portal, making it easy to monitor and manage devices remotely.

Additionally, Azure Stack Edge supports offline upload scenarios, allowing devices to continue operating even in areas with limited or no internet connectivity.

Azure Stack Edge supports a range of file transfer protocols, including SMB, NFS, and REST, making it easy to integrate with existing infrastructure.

Here are some of the key features of Azure Stack Edge:

Azure Stack Edge also supports a range of security features, including encryption and bandwidth throttling.

Encryption is supported through BitLocker, which locally encrypts data and secures data transfer to the cloud over https.

Bandwidth throttling allows administrators to limit bandwidth usage during peak hours, preventing network congestion.

Finally, Azure Stack Edge supports scale out file servers, allowing devices to be deployed as a single node or a two-node cluster.

Azure Stack Edge offers a range of hardware options to suit different needs and workloads. You can choose from purpose-built hardware-as-a-service with Azure Stack Edge, which allows you to run your workloads and get quick insights right at the edge where data is created.

Azure Stack Edge Pro Series provides enterprise scale and performance for your edge workloads. This series is ideal for large-scale deployments.

For a more compact form factor, you can opt for the Azure Stack Edge Pro 2, which is optimized for edge and branch locations. It offers flexible mounting options and comes in three configuration options:

With Azure Stack Edge, you can get started easily with hardware-as-a-service and a seamless cloud-to-edge experience.

You simply order your appliance from the Azure portal in a hardware-as-a-service model, paid monthly via your Azure subscription.

This model gives you a seamless cloud-to-edge experience where you configure, monitor and update your Azure Stack Edge with the same management portal and development tools that you’ve come to expect from Azure.

Azure Stack Edge is designed for edge processing on the go, and is perfect for running workloads and getting quick actionable insights right at the edge where data is created.

You can manage your device from the cloud with standard Azure management tools, making it easy to monitor and update your device remotely.

With Azure Stack Edge, you can deploy and manage containers from IoT Hub and integrate with Azure IoT solutions at the edge with rugged options using Kubernetes with multi-node and virtual machine support.

Azure Stack Edge Pro with FPGA is a Hardware-as-a-service solution that ships you a cloud-managed device with a built-in Field Programmable Gate Array (FPGA) that enables accelerated AI-inferencing and has all the capabilities of a network storage gateway.

The Azure Stack Edge Pro series offers a range of hardware options to suit different needs.

The Azure Stack Edge Pro 2 is a compact 2U device that can be configured to send data to Azure.

You can order this device from the Azure Edge Hardware Center, which allows you to choose from various SKUs and place multiple orders for different locations.

The Azure Stack Edge Pro 2 solution consists of three main components: the Azure Stack Edge resource, the Azure Stack Edge Pro 2 physical device, and the local web UI.

The Azure Stack Edge resource is a resource in the Azure portal that lets you manage the device from a web interface.

The local web UI on the device currently supports 15 languages, including English, Spanish, French, and Chinese.

Here are the languages supported by the local web UI:

The Azure Stack Edge Pro GPU solution also consists of three main components: the Azure Stack Edge resource, the Azure Stack Edge Pro GPU physical device, and the local web UI.

The Azure Stack Edge Pro FPGA solution consists of three main components: the Azure Stack Edge resource, the Azure Stack Edge Pro FPGA physical device, and the local web UI.

Processing and analyzing data from the Internet of Things (IoT) devices is a crucial aspect of Azure Stack Edge.

You can process, sort, and analyze your IoT data to determine what actions to take immediately, what data to store in the cloud, and what data to discard.

With Azure Stack Edge, you can run your containerized applications and VMs right at the edge where data is created and collected, allowing for real-time analysis and filtering of IoT data.

This enables you to send only the necessary data to the cloud for further processing or storage, reducing latency and improving overall efficiency.

You can run your containerized applications and VMs right at the edge where data is created and collected, analyzing, transforming, and filtering data at the edge.

Azure Stack Edge acts as a cloud storage gateway, enabling eyes-off data transfers to Azure, while retaining local access to files. With its local cache capability and bandwidth throttling, it optimizes data transfers to Azure and back.

Data can be easily and quickly transferred to Azure for further compute or archival purposes or to expedite your cloud migration. Return the appliance to Microsoft when you're done.

Local applications can still work when your connectivity to the cloud is limited, speeding transactions and addressing bandwidth constraints.

Azure Stack Edge is a powerful tool for running applications at the edge, close to where data is created and collected. It supports VM and containerized workloads, allowing for analysis, processing, and filtering of data.

With Azure Stack Edge, you can run your containerized applications and VMs right at the edge, sending only the data you need to the cloud for further processing or storage. This can be done using the device's local cache capability, which provides fast access to most recently used files.

Azure Stack Edge also enables efficient and easy data transfers between the cloud and edge, acting as a cloud storage gateway and retaining local access to files. It supports standard file transfer protocols such as SMB, NFS, and REST, making it easy to ingest data from various sources.

Here are some of the key use cases and capabilities of Azure Stack Edge:

Azure Stack Edge supports various protocols for data ingestion, including SMB, NFS, and REST, and provides a local cache for fast access to most recently used files. It also supports offline upload scenarios, making it a reliable solution for edge computing.

Azure Stack Edge offers a range of key capabilities that make it an ideal solution for edge computing and AI/ML inferencing. These capabilities include accelerated AI inferencing, enabled by the built-in GPU, FPGA, or compute acceleration card, depending on the model.

Azure Stack Edge devices support VM and containerized workloads, allowing for analysis, processing, and filtering of data. This makes it an excellent choice for applications that require real-time processing and decision-making.

The device also offers direct data access from Azure Storage Blobs and Azure Files using cloud APIs, as well as local cache on the device for fast access of most recently used files. This ensures that data is readily available for processing and analysis.

Azure Stack Edge is cloud-managed, allowing for easy monitoring and management of the device and its services through the Azure portal. This makes it easy to scale up or down as needed, and to ensure that the device is always running smoothly.

Some of the key capabilities of Azure Stack Edge include:

Azure Stack Edge also offers double encryption, with self-encrypting drives providing a layer of encryption, and BitLocker support to locally encrypt data and secure data transfer to cloud over https. This ensures that data is protected both in transit and at rest.

Azure Stack Edge is optimized for edge scenarios that typically involve hundreds or thousands of devices across a high number of locations.

The solution is designed to handle large scale deployments, making it perfect for businesses with multiple locations.

Azure Stack Edge is only available for deployments of at least 100 nodes, as its hardware as a service solution is tailored for such large-scale scenarios.

This means that if you're planning to deploy Azure Stack Edge, you'll need to have at least 100 devices to take advantage of this solution.

The Azure Stack Edge Pro Series offers enterprise scale and performance for your edge workloads, making it a great fit for large-scale deployments.