Robots Are Evolving! 🤖🤯 NVIDIA's Genius 🚀

BREAKTHROUGH AI ACCESSIBILITY
NVIDIA has released the Jetson Orin Nano 2, a specialized edge robotics computer designed to make generative AI accessible to a wider range of developers. The board’s key innovation lies in its ability to run models previously restricted to large data centers, effectively bringing high-performance AI to applications requiring real-time processing at the edge. Deepu Talla, VP of Robotics and Edge AI at NVIDIA, highlighted this shift, stating that the Nano 2 allows millions of developers to utilize breakthroughs in AI accuracy that were previously only available to a select few.

TECHNICAL SPECIFICATIONS AND PERFORMANCE ADVANTAGES
The Jetson Orin Nano 2 boasts impressive technical specifications, including 78 trillion operations per second of AI compute, 8GB of memory, and an eight-core Arm CPU. NVIDIA engineered the board to deliver a significant boost in AI and video processing performance while maintaining a low cost and power consumption profile. Notably, the board achieves twice the inference performance of the existing Jetson Orin Nano Super, thanks to enhanced Tensor Cores and increased memory bandwidth, all within a compact form factor. The board operates efficiently in 15-watt mode, consuming 40% less power than the Orin Nano Super while matching its performance.

SOFTWARE ECOSYSTEM AND MODEL SUPPORT
The Jetson Orin Nano 2 runs on NVIDIA’s open software stack, complemented by Jetson agent skills and the broader Jetson AI ecosystem. This ecosystem supports a diverse range of large language models (LLMs) and vision language models optimized for memory-efficient inference at the edge. Examples include NVIDIA’s Cosmos and Nemotron models, alongside Gemma 4 and Qwen 3, allowing developers to deploy these models on the hardware.

KEY PARTNERS AND APPLICATIONS
NVIDIA has secured partnerships with several companies to explore and implement the Jetson Orin Nano 2 across various applications. Early adopters include Cognex, Doosan Bobcat, and Matic, each exploring potential uses in areas such as industrial inspection, autonomous construction equipment, and home robotics. Wing, Alphabet’s drone delivery subsidiary, is evaluating the board to enhance its drone fleet’s real-time AI perception and reasoning capabilities, aiming for faster and safer deliveries. Dinuka Abeywardena, Head of Perception at Wing, emphasized the importance of AI for drone delivery, highlighting the Nano 2’s potential for responsive and energy-efficient drones.

ROBOTICS AND HOME AUTOMATION APPLICATIONS
Matic Robots is utilizing the Jetson Orin Nano 2 for its home cleaning robots, enabling features like conversational AI, gesture detection, precision mapping, and semantic understanding of the home environment. NVIDIA believes this demonstrates the board’s capability to enable autonomous cleaning behavior in dynamic environments.

HARDWARE PARTNERS AND REFERENCE DESIGNS
NVIDIA has collaborated with a network of hardware partners, including AAEON, ADLINK, Advantech, and Aetina, to develop carrier boards and hardware systems based on the Jetson Orin Nano 2. Furthermore, companies like Antmicro, Aptiv, and Auvidea are creating customized AI software and reference designs, expanding the board’s reach and application possibilities. The partner ecosystem includes Neurealm, Plink, Realtimes, RidgeRun, RS, Seeed Studio, Tauro Tech, Twowin, TZTEK, and YUAN, further accelerating market adoption.

EXPANDING THE PHYSICAL AI LANDSCAPE
NVIDIA’s focus on the Jetson Orin Nano 2 represents a broader push towards “frontier intelligence” reaching the edge. The company’s vision is that models previously confined to data centers can now operate in real-time on entry-level Jetson systems, unlocking new applications across robotics, vision systems, and beyond. NVIDIA is further promoting this vision through events like the Physical AI Expo, providing a platform for developers and industry leaders to explore the possibilities of physical AI.