News

New Azure Edge Zones Will Offer Ultra-Low-Latency Edge Computing, Development

Microsoft is previewing Azure Edge Zones, providing ultra-low-latency edge computing to enable new scenarios for developers, customers, and partners.

"Azure Edge Zones is a family of offerings from Microsoft Azure that enables data processing close to the user," Microsoft documentation states. "You can deploy VMs, containers, and other select Azure services into Edge Zones to address the low latency and high throughput requirements of applications."

The company said the new Azure Edge Zones preview offering combines the capabilities of Azure, 5G, carriers and technology partners to enable those new scenarios, allowing for:

  • New frontiers for developers working with high-density graphics and real-time operations in industries such as gaming and mobile platforms.
  • Local data processing for secure workloads, latency-sensitive data analytics, IoT, and media services.
  • Real-time IoT and AI analytics for optimizing, building, and innovating for robotics, mixed reality, and automation tools.

Getting more granular, Microsoft documentation lists typical use case scenarios such as:

  • Real-time command and control in robotics
  • Real-time analytics and inferencing with artificial intelligence and machine learning
  • Machine vision
  • Remote rendering for mixed reality and VDI scenarios
  • Immersive multi-player gaming
  • Media streaming and content delivery
  • Surveillance and security
Azure Edge Zones
[Click on image for larger view.] Azure Edge Zones (source: Microsoft).

Azure Edge Zones actually comes in three different offerings:

  • Azure Edge Zones: These are small footprint extensions of Azure located in population centers distant from Azure regions. Typical use cases here include:
    • Gaming and game streaming
    • Media streaming and content delivery
    • Real-time analytics and inferencing using artificial intelligence and machine learning
    • Rendering for mixed reality
  • Azure Edge Zones with Carrier: These are small footprint extensions of Azure located in mobile operators' datacenters in population centers. Typical use cases here, in addition to the above, also include:
    • Connected automobiles
    • Telemedicine
  • Azure Private Edge Zones: These are small footprint extensions of Azure placed on-premises, supporting basically all of the above, except Microsoft didn't list "immersive multi-player gaming" and "media streaming and content delivery" in this sector.

One use case scenario sees developers building optimized and scalable applications using Azure and directly connecting to 5G networks by building upon previously announced integration with AT&T to enable next-generation solutions on the edge, leveraging consistent Azure APIs and tooling in the public cloud.

"We were the first public cloud to announce 5G integration with AT&T in Dallas in 2019, and now we're announcing a close collaboration with AT&T on a new Edge Zone targeted to become available in Los Angeles in late spring," said Azure Networking exec Yousef Khalidi in a March 31 blog post.

The first edge zones will be available in June, Microsoft said.

Anyone wishing to join the Azure Private Edge Zone preview can go here.

About the Author

David Ramel is an editor and writer at Converge 360.

comments powered by Disqus

Featured

  • Mastering Blazor Authentication and Authorization

    At the Visual Studio Live! @ Microsoft HQ developer conference set for August, Rockford Lhotka will explain the ins and outs of authentication across Blazor Server, WebAssembly, and .NET MAUI Hybrid apps, and show how to use identity and claims to customize application behavior through fine-grained authorization.

  • Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

    Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric value. A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used.

  • Low-Code Report Says AI Will Enhance, Not Replace DIY Dev Tools

    Along with replacing software developers and possibly killing humanity, advanced AI is seen by many as a death knell for the do-it-yourself, low-code/no-code tooling industry, but a new report belies that notion.

  • Vibe Coding with Latest Visual Studio Preview

    Microsoft's latest Visual Studio preview facilitates "vibe coding," where developers mainly use GitHub Copilot AI to do all the programming in accordance with spoken or typed instructions.

  • Steve Sanderson Previews AI App Dev: Small Models, Agents and a Blazor Voice Assistant

    Blazor creator Steve Sanderson presented a keynote at the recent NDC London 2025 conference where he previewed the future of .NET application development with smaller AI models and autonomous agents, along with showcasing a new Blazor voice assistant project demonstrating cutting-edge functionality.

Subscribe on YouTube