On June 30, 2026 at 8:00 am PT (11:00 ET), Peridio, NXP and ipXchange will present the webinar “The Engineer’s Guide to Simplifying Embedded Linux Development: Building with Avocado OS on i.MX Applications Processor.” Here’s the description, from the event registration page: The demand for AI-enabled edge devices – including robotics, smart vision systems, and […]
Upcoming Webinar on Building with Avocado OS on i.MX Read More +
Justin Schneck, Co-Founder and CTO at Peridio presents “From Prototype to Production: What Computer Vision Teams Wish They Knew at 100 Devices” at the May 2026 Embedded Vision Summit. Your computer vision prototype works beautifully: USB camera on a Jetson dev kit, software humming, investors impressed. Production isn’t that convenient.… “From Prototype to Production: What
NVIDIA just shipped the most important Jetson release in years. Here’s what it means — and where Avocado OS fits in. This blog was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. A couple weeks ago, the Peridio team was together at our Nashville HQ for our exec
JetPack 7.2: The Production Moment for Physical AI Read More +
This video was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. In this episode of Beyond the Bench from Peridio, Bill Brock sits down with Robert Otręba, Founder & CEO of Grinn, a Poland-based embedded engineering company operating for nearly 18 years. Robert shares how Grinn grew from a two-person
Beyond the Bench: Reinventing Embedded Hardware with Grinn Read More +
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
Accelerating Product Development in the Era of Physical AI Read More +
This blog post was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The gap between robotics prototypes and production deployments has always been an infrastructure problem disguised as a hardware problem. Teams build incredible computer vision models and robotic control systems on NVIDIA Jetson developer kits, only to hit
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