Cassie Condon joined Scott Hanselman at Ignite 2019 to talk about the new investments, capabilities, and form factors for the Azure Stack portfolio that ensure our edge infrastructure fits seamlessly in our customers’ solutions.

Azure Stack is now a portfolio of products consisting of Azure Stack HCI, Azure Stack Hub (previously Azure Stack), and Azure Stack Edge (previously Azure Data Box Edge).

A rugged series is also available for sites with harsh environments, including a battery-powered form-factor that can be carried in a backpack.

The versatility of these Azure Stack Edge form-factors and cloud-managed capabilities brings cloud intelligence and compute to retail stores, factory floors, hospitals, field operations, disaster zones, and rescue operations.     

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Do you need AI video smarts on the edge?

Then, SolidRun, a developer and manufacturer of high-performance edge computing hardware, and application-specific integrated circuit (ASIC) chip manufacturer Gyrfalcon Technology has a server for you:

The Arm-based, Linux-powered Janux GS31 AI inference server.

What’s an AI inference server you ask? Once you’ve trained a neural network with machine learning to recognize, say, cars and spaces, it’s learned lessons can be built into an application. That program can then infer things about new data based on its training. So, for example, an AI-empowered traffic cop might infer when someone’s speeding or has run a red light.

In this video, Abel sits down again with April Edwards to talk about using GitHub Actions to deploy infrastructure using Terraform.

April walks through the process of taking code that is already sitting in GitHub and deploying infrastructure by using Terraform, and all of the custom actions and workflows that have been created for you.