Advantech’s Embedded-IoT World Partner Conference (WPC) will host collaborators all around the world to help shape the future of embedded and emerging business technology. From November 30 – December 2, 2023, the WPC will be held in Linkou Taiwan and will examine a broad range of topics including AIoT, EV infrastructure, robotics, and more.

In the first of this on-going blog series, we explained why a developer should consider implementing Windows on Arm (WoA), and in Part II, we talked about why you should be implementing Windows on Arm using Advantech hardware. Here in Part III, we’ll talk about the steps you should take to actually deploy Windows IoT on Advantech Arm-based hardware.

Windows is well known as one of the more stable and reliable OS choices for embedded and industrial applications, but it’s traditionally only run on machines that are powered by x86 processors. That isn’t the case anymore, and it’s time to start thinking of bringing the advantages of Windows onto your Arm-powered machines.

As you would expect, “Windows on Arm” refers to a version of the Microsoft Windows operating system that’s designed to run on devices powered by Arm-based processors. Such devices are quite plentiful. They are in most of our smartphones, tablets, and a slew of other low-cost devices, many of them powered by batteries.

As robots get smarter, they’re able to tackle more tasks, relieving humans of tedium and hazard. But how are they getting smarter?

Taipei Taiwan. Advantech is collaborating with MOV.AI to boost and simplify the development of autonomous mobile robots (AMRs). The partnership will deliver innovative software environments for manufacturing, operating, and deploying AMRs.

The AMD EPYC 7003 series microprocessor is the centerpiece of Advantech’s AIMB-592, the first server-grade motherboard in the company’s AIMB series of products. To further performance, the board takes advantage of four steel PCIe 4.0 “by 16” slots and supports a GPU extension. Its complete feature set makes the AIMB-592 an ideal solution for data-intensive applications at the Edge of the IoT.