This video was originally published at Peridio’s website. It is reprinted here with the permission of Peridio.
The embedded world is undergoing its biggest transformation in a generation. AI workloads are now moving into the physical world — into cameras, robots, tractors, and drones — and edge devices are evolving into intelligent agents. Yet the software stack that powers them hasn’t kept up. Embedded Linux, the default for decades, is now a bottleneck — not a bridge — for teams trying to deploy AI across modern silicon. In this session at Embedded World NA 2025, Peridio Co-Founder & CPO, Justin Schneck, explores how Embedded Linux must evolve to meet the demands of today’s AI-native product development. He examines real-world examples from teams shipping AI-enabled products, unpack the complexity of cross-silicon development, and outline a new architecture for rapid iteration at the edge. It’s not just about better tooling. It’s about rethinking what’s possible when Embedded Linux becomes a launchpad, not a liability.
