Stutensee, Germany. Tria Technologies, an Avnet company, will launch five innovative families utilizing Qualcomm’s Dragonwing and Snapdragon platforms at embedded world. The solutions deliver powerful computing and efficiency for the next generation of IoT devices. The enhanced AI performance opens innovation for AI deployment at the edge.

Edge AI is one of the popular topics amongst the embedded community. It’s the place where decisions are made, data is analyzed, etc. It’s also a place where lots of confusion arises because of its complexity, especially from a development perspective. To get to the heart of where the challenges lie in this phase of design, I spoke with Jim Beneke, a Vice President for Tria Americas, an Avnet company, on this week’s Embedded Executives podcast. Jim has a pretty deep history in the embedded space and served as a great resource on this topic.

Hello Embedded Engineers, Developers and Makers! Welcome to In Case You Missed it: Embedded Insights, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

Phoenix, Arizona. Avnet launched Tria, and Tria Technologies, to merge its compute design and manufacturing offerings. “The new brand embodies Avnet’s unique ability to deliver standalone modular embedded compute solutions in a world where OEMs are increasingly looking to move from their own chip-down manufacturing to part- or full- pre-made embedded compute platforms,” said Thomas Staudinger, president of Embedded Solutions, Avnet. “It brings together all of Avnet’s compute design and manufacturing capabilities under one brand.”