Robotics systems in manufacturing, agriculture, transportation, retail, healthcare, and logistics got a computing upgrade. NVIDIA has released the Jetson AGX Thor developer kit and modules, designed to handle AI tasks on industrial robots.
Early adopters include Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Hexagon, Medtronic and Meta, while 1X, John Deere, OpenAI and Physical Intelligence are evaluating Jetson Thor to advance physical AI capabilities.
“We’ve built Jetson Thor for the millions of developers working on robotic systems that interact with and increasingly shape the physical world,” said Jensen Huang, founder and CEO of NVIDIA. “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 Ultimate Platform for Next-Generation Robotics
Powered by an NVIDIA Blackwell GPU and featuring 128GB of memory, Jetson Thor delivers up to 2,070 FP4 teraflops of AI compute to run the AI models – all within a 130-watt power envelope.
Compared with its predecessor, the NVIDIA Jetson Orin, Jetson Thor delivers up to 7.5x higher AI compute and 3.5x greater energy efficiency to run generative AI model – from vision language action models like NVIDIA Isaac GR00T N1.5 to large language and vision language models.
The system-on-module addresses a key challenge in robotics: running multiple AI workflows to enable robots interact with people and the environment in real time. It supports physical AI applications in humanoid robotics, agriculture, and surgical assistance requiring accurate inference.
Global Robotics Leaders Build on Jetson Thor
Jetson Thor runs on the NVIDIA Jetson software platform for physical AI and humanoid robotics. It supports all major AI frameworks and generative AI models and works with NVIDIA’s cloud-to-edge tools, including Isaac for simulation, Isaac GR00T for humanoid robot foundation models, NVIDIA Metropolis for vision AI and NVIDIA Holoscan for real-time sensor processing.
Since its launch in 2014, the NVIDIA Jetson platform has been adopted by more than 2 million developers. Its ecosystem includes more than 150 partners producing hardware, software, and sensors. The Jetson Orin module is used by more than 7,000 customers for edge AI applications. Its successor, Jetson Thor, is designed to support visual AI agents, humanoid and surgical robots.
“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.”
“The future of robotics in logistics depends on the ability to deploy increasingly intelligent and autonomous systems,” said Tye Brady, chief technologist at Amazon Robotics. “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.”
“As autonomous machines tackle more complex tasks in our customers’ operations, edge computing is critical for real-time decision making,” said Joe Creed, CEO of Caterpillar. “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.”
Availability
The NVIDIA Jetson AGX Thor developer kit is available starting at $3,499. Jetson T5000 production modules are available from distribution partners. Production systems and carrier boards can be purchased from embedded partners.
Source: NVIDIA
About NVIDIA
NVIDIA Corporation, based in Santa Clara, CA, is a U.S. technology company specializing in the design and production of graphics processing units (GPUs). Its hardware and software solutions support a range of applications and simulation. Operating for over 30 years, NVIDIA has seen strong financial growth, reporting $39.3B in revenue and $22.1B in net income for the fiscal quarter ending January 2025. Its headquarters are designed to promote a flat organizational structure that encourages open communication and collaboration between leadership and staff across industries. In gaming, its GPUs power high-performance visual rendering. In artificial intelligence and high-performance computing, NVIDIA provides the infrastructure needed for training and deploying large-scale models. The company also contributes to the automotive sector with systems for autonomous driving and supports robotics with tools for AI-based perception.