NVIDIA Introduces Jetson Orin Nano 2 for Economical Entry-Level Edge AI
August 26, 2026
News
NVIDIA introduced its economical and power-efficient Jetson Orin Nano 2, a robotics computer engineered to redefine entry-level edge AI by placing frontier-class generative AI in the hands of millions of designers.
“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,” said 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 at the edge.”
With 78 trillion operations per second of AI performance, the Jetson Orin Nano 2 also features 8GB of memory and an 8-core Arm CPU delivering a considerable increase in AI and video-processing performance.
According to NVIDIA, its Jetson Orin Nano 2 achieves two times the inference performance of Jetson Orin Nano Super through improved Tensor Cores and higher memory bandwidth, while maintaining the same compact form factor. While in 15-watt mode. The company states the Jetson Orin Nano 2 consumes 40% less power to deliver the same performance as its predecessor.
The Jetson Orin Nano 2 utilizes NVIDIA’s open software stack, NVIDIA Jetson agent skills, and a rich AI ecosystem enabling engineers to manage large language models and vision language models optimized for memory-efficient edge inference. These include open models like NVIDIA Cosmos and NVIDIA Nemotron, Gemma 4, and Qwen.
For more information, visit nvidia.com/en-us/.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
