By Ryan Daws
Publication Date: 2026-08-26 09:08:00
NVIDIA has unveiled the Jetson Orin Nano 2, an edge robotics computer aimed at bringing physical AI to drones, robots, and vision systems. The company is positioning the new board as an entry-level option for developers who want generative AI models running directly on a machine instead of inside a data centre.
NVIDIA’s argument for the launch rests on a change in how well small and medium AI models now perform. The company says models of this size have reached the accuracy that only the largest frontier models achieved a year earlier.
Deepu Talla, VP of Robotics and Edge AI at NVIDIA, said: “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 at the edge.”
Achieving that level of accuracy from small and medium AI models lets compact edge hardware interpret language and images and act on that information in real-time. Robots, delivery drones, inspection drones, and vision AI systems all depend on hardware that can run those workloads without drawing much power.
NVIDIA Jetson Orin Nano 2 compute specs and power draw
Jetson Orin Nano 2 carries 78 trillion operations per second of AI compute, 8GB of memory, and an eight-core Arm CPU. NVIDIA built the board to deliver a jump in AI and video-processing performance while keeping cost and power draw low.
The new board reaches twice the inference performance of the existing Jetson Orin Nano Super. NVIDIA…
