quickutilities – NVIDIA CEO Jensen Huang has emphasized that robotics is the company’s next major growth area beyond artificial intelligence. To support this vision, NVIDIA has launched Jetson Thor, its most powerful system-on-module for robotics and physical AI. Built for next-generation machines, Jetson Thor delivers a significant leap in performance over previous models.
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Jetson Thor is powered by NVIDIA’s new Blackwell GPU architecture. Compared to its predecessor, Jetson Orin, this system delivers 7.5 times more AI compute power and 3.5 times better energy efficiency. The upgrade allows developers to run advanced generative AI models, including large language and visual models, on the edge. These capabilities help robots better understand, respond to, and operate within physical environments.
According to NVIDIA, Jetson Thor is part of a full-stack platform tailored for robotics. It includes software tools and frameworks designed specifically for real-world AI applications. Speaking about the release, Huang stated, “We’ve built Jetson Thor for the millions of developers working on robotic systems that interact with and increasingly shape the physical world.”
Jetson Thor Targets Commercial Robotics with High-Volume Production Strategy
The Jetson AGX Thor developer kit is now available for $3,499, enabling developers to prototype robotics applications quickly. For mass production, NVIDIA is offering the Jetson Thor T5000 module at a wholesale price of $2,999 per unit. With a minimum order of 1,000 units. This pricing strategy clearly targets large-scale robotics manufacturers.
Major companies such as Amazon, Meta, Agility Robotics, and Boston Dynamics already use Jetson-based systems. Highlighting the level of industry demand for these high-performance AI modules. The inclusion of Blackwell architecture means Jetson Thor can support more complex and responsive robotic behaviors, including vision processing, motion planning, and real-time decision-making.
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Jetson Thor’s ability to run on-device generative AI reduces the need for cloud computing, improving speed and data privacy. This is especially important for robotics use cases in healthcare, logistics, defense, and autonomous navigation where latency and data security are critical.
Looking forward, NVIDIA’s aggressive push into robotics hardware reinforces its commitment to becoming a dominant player in physical AI. Jetson Thor represents a critical piece of that strategy, offering the compute power and energy efficiency needed to fuel intelligent machines. With its scalability and real-time performance, Jetson Thor enables breakthroughs across manufacturing, logistics, healthcare, and autonomous mobility. As robotics becomes more integrated into daily life and industry, Jetson Thor could serve as the backbone of a new generation of autonomous systems.
