NVIDIA unveils Jetson Thor, bringing generative AI to humanoids, machines and healthcare robots.
Generative AI is moving off the cloud and into robots as NVIDIA rolls out its Jetson Thor computer to power humanoids, surgical assistants, and industrial machines in real time.On Monday, the company announced the general availability of the Jetson AGX Thor developer kit and production modules.
The system delivers up to 2,070 FP4 teraflops of AI compute and 128 gigabytes of memory while operating within a 130-watt power envelope.NVIDIA says that it has 7.5 times more AI computing and 3.5 times greater energy efficiency than its predecessor, Jetson Orin.Early adopters include Amazon Robotics, Boston Dynamics, and Caterpillar. Other major players such as John Deere, Meta, OpenAI, and Medtronic are testing the platform to advance what NVIDIA calls “physical AI,” or machines that can perceive, reason, and act in real time.Powered by NVIDIA’s Blackwell GPU, Jetson Thor is designed to run multiple AI models simultaneously. These include vision-language-action models such as NVIDIA’s Isaac GR00T as well as large language and vision models.That capability allows robots to interact with people and operate in complex, real-world settings without relying solely on cloud servers.Supercomputer for physical AIJensen Huang, NVIDIA’s founder and CEO, said the new system was built with the millions of developers working on robotics in mind.“We’ve built Jetson Thor for the millions of developers working on robotic systems that interact with and increasingly shape the physical world,” Huang said.“With unmatched performance and energy efficiency, and the ability to run multiple generative AI models at the edge, Jetson Thor is the ultimate supercomputer to drive the age of physical AI and general robotics.”The platform offers a significant jump over previous Jetson models in both performance and efficiency.By enabling real-time inference, NVIDIA says Jetson Thor addresses one of robotics’ biggest challenges: running multiple AI workflows at once so machines can respond intelligently to dynamic environments.That makes the system suitable for applications ranging from humanoids and industrial robots to precision farming and surgical assistance.NVIDIA says it is also compatible with the company’s end-to-end software stack, including the Isaac robotics platform for simulation and development, Metropolis for vision AI, and Holoscan for real-time sensor processing.Industry leaders back ThorSeveral companies building next-generation robots see Jetson Thor as essential to their work.“The development of capable humanoid robots hinges on our ability to run powerful AI models directly on the robot, enabling real-time learning and interaction,” said Brett Adcock, founder and CEO of Figure.“NVIDIA Jetson Thor’s server-class performance, delivered within a compact and power-efficient design, allows us to deploy the large-scale generative AI models necessary for our humanoids to perceive, reason and act in complex, unstructured environments.”Amazon Robotics’ chief technologist, Tye Brady, said the platform could help transform global logistics.“NVIDIA Jetson Thor offers the computational horsepower and energy efficiency necessary to develop and scale the next generation of AI-powered robots that can operate safely and effectively in dynamic, real-world environments, transforming how we move and manage goods globally.”Joe Creed, CEO of Caterpillar, said Jetson Thor will play a role in heavy equipment.“As autonomous machines tackle more complex tasks in our customers’ operations, edge computing is critical for real-time decision making,” Creed said.“NVIDIA Jetson Thor offers the AI performance we need to develop and deploy the construction and mining equipment of the future, enhancing precision, reducing waste and improving safety for our customers around the globe.”
Boston Dynamics Caterpillar AI Edge AI Computing Generative AI Robots Humanoid Robots Industrial Automation NVIDIA Jetson Thor Physical AI Robotics Supercomputer
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