
NVIDIA unveiled Jetson Orin Nano 2, an entry-level edge AI computer.
It doubles inference performance and cuts power use by 40%.
The module and developer kit arrive in the first half of 2027.
What happened
NVIDIA has introduced Jetson Orin Nano 2, a new entry-level computer for edge AI. It doubles the inference performance of Jetson Orin Nano Super through improved Tensor Cores and higher memory bandwidth, while maintaining the same compact form factor.
Why it matters
In 15-watt mode, the new system consumes 40% less power to deliver the same peak-to-peak performance as its predecessor. NVIDIA says this puts frontier-level accuracy within reach of millions of developers, enabling real-time reasoning in smart drones, robots, and vision AI systems.
What to watch
The Jetson Orin Nano 2 module and developer kit will be available in the first half of 2027. Partners such as Alphabet's Wing, Matic Robots, Cognex, Doosan Bobcat are evaluating or using the system for real-world edge AI in compact devices.
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The Jetson Orin Nano 2 arrives as NVIDIA's latest push into edge AI, where small, energy-efficient computers run AI models locally rather than relying on cloud data centers. The company says small and medium frontier models have now reached the accuracy of last year's largest models, making it possible to run frontier-level AI at the edge. The new system is built on the same GPU architecture as data centers, and NVIDIA's existing open software stack runs on it, designed as a drop-in for existing Orin customers.
NVIDIA's timing reflects a broader trend: developers are increasingly building physical AI applications, and the need for compact, power-efficient computing is growing. The company says more than 3 million developers already build on its robotics stack. Partners like Wing, Alphabet's drone delivery subsidiary, are evaluating the new system to advance real-time AI perception for faster, safer deliveries. Matic Robots is using it to enable conversational AI and greater autonomy in home cleaning robots.
The announcement underscores a shift toward deploying AI models directly on devices, reducing latency and improving reliability for applications like robotics and vision systems. With availability slated for the first half of 2027, NVIDIA is positioning the Jetson Orin Nano 2 as a key enabler for the next wave of autonomous machines.
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