OVERVIEW
Purpose-built hardware-as-a-service with Azure Stack Edge
Run your workloads and get quick actionable insights right at the edge where data is created using purpose-built hardware-as-a-service with Azure Stack Edge.
- Simply order your appliance from the Azure portal in a hardware-as-a-service model, paid monthly via your Azure subscription. Get 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 already use for Azure cloud services.
- Run your containerized applications and VMs right at the edge where data is created and collected. Analyze, transform, and filter data at the edge, sending only the data you need to the cloud for further processing or storage.
- Build and train Machine Learning models in Azure or use Azure Cognitive service, and then utilize the built-in NVIDIA T4 GPU or Intel VPU in the Mini R to accelerate the results locally. Upload the full dataset or a subset to the cloud to retrain your models and make your edge devices even smarter.
- Azure Stack Edge acts as a cloud storage gateway and enables eyes-off data 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 data transfers to Azure.
- Take a look at how Azure Stack Edge for AI and machine learning workloads are being piloted, combining a 3D scanner with Azure AI models, at London's Heathrow Airport, to prevent illegal wildlife trafficking.
- 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.
- 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.
- 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.
- Run applications at remote locations to speed transactions and address bandwidth constraints. Local applications can still work when your connectivity to cloud is limited.
- 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.
FEATURES
Integrated Hybrid Capabilities
Cloud Control
With easy ordering and fulfillment, you can manage your device from the cloud with standard Azure management tools
Edge Orchestration
With Azure loT Edge, you can deploy and manage containers from loT Hub and integrate with Azure loT solutions at the edge with rugged options using Kubernetes with multi-node and virtual machine support
Accelerated AI
Bring hardware acceleration to a diverse set of Machine Learning workloads with NVIDIA T4 Tensor Core GPU and Intel VPU
Local Caching
Keep a local cache of your Azure Storage account, utilizing the storage gateway to automatically upload
Security
Embedded security and compliance
34,000
Full-time equivalent engineers dedicated to security initiatives at Microsoft.
15,000
Partners with specialized security expertise.
>100
Compliance certifications, including over 50 specific to global regions and countries.
CUSTOMER STORIES
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