By Eugene Demaitre
Publication Date: 2026-08-25 15:00:00
Jetson Orin Nano 2 consumes less power at the same performance level of its predecessor. Source: NVIDIA
As AI models become more efficient, more devices can become autonomous, but developers need compact, energy-efficient computers built for edge AI, asserted NVIDIA Corp. The company today introduced NVIDIA Jetson Orin Nano 2, a new entry-level computer for edge AI that it said enables millions of developers worldwide to build systems for physical AI applications.
“Today’s small and medium frontier models have reached the accuracy of last year’s largest frontier models, unlocking real time intelligence for edge devices,” stated Deepu Talla, vice president of robotics and edge AI at NVIDIA. “The Jetson Orin Nano 2 computer puts that breakthrough within reach of millions of developers, delivering the performance and energy efficiency needed for real-time reasoning in smart drones, robots, and vision AI systems.”
“Over the past three months, we’ve seen the evolution of open models powering physical AI and how important they’ve become,” he added during a press briefing. “One year ago, frontier models which were 600 billion or 1 trillion parameter models. A year later, we’re able to bring that level of accuracy all the way down to intro-level edge AI products in Orin Nano 2. This is amazing.”
NVIDIA Jetson Orin Nano 2 is part of the company’s “three-computer, full-stack” approach to robotics, with Omniverse with Cosmos providing simulation for…
