Nvidia Unveils Jetson Thor: A $3.8T Chipmaker's Latest AI-Powered Robotics Platform

Nvidia has launched its Jetson Thor robotics platform, built on its Blackwell GPU with 128GB of memory. The Jetson Thor kit delivers up to 7.5 times more AI compute and 3.5 times better energy efficiency than its predecessor. Robotics firms like Figure, Amazon, and Caterpillar are already using the platform, highlighting Nvidia's expanding reach beyond data centers into the physical world.

Nvidia has announced the general availability of its Jetson AGX Thor developer kit and production modules, marking a significant milestone in the company's strategy to bolster growth through robotics. The Jetson AGX Thor is powered by an Nvidia Blackwell GPU and comes with 128GB of memory, targeting developers and companies aiming to integrate advanced artificial intelligence (AI) models into their robotic systems [1].

The new platform promises substantial improvements over its predecessor, the Nvidia Jetson Orin. It offers up to 7.5 times higher AI compute and 3.5 times greater energy efficiency, making it an attractive option for developers working on robotic systems that interact with and shape the physical world [1]. The Jetson AGX Thor is priced at $3,499 and is designed to meet the demands of companies that have already incorporated robotics into their offerings, such as Figure, Amazon (AMZN), and Caterpillar (CAT) [1].

The Jetson AGX Thor developer kit is available now starting at $3,499, while Jetson T5000 production modules can be purchased through global distributors and embedded partners. Nvidia’s network of hardware integrators and sensor suppliers are already developing production-ready systems to help robotics companies accelerate deployment [2].

Nvidia's focus on robotics aligns with its broader strategy to leverage AI and machine learning to drive growth and innovation. The company's shares rose by 1.5% in early trading on Monday following the announcement, reflecting investor optimism about the potential of this new platform [1].

The Jetson AGX Thor offers up to 2,070 FP4 teraflops of AI compute within a 130-watt power envelope, representing a 7.5x increase in AI performance and 3.5x higher energy efficiency compared with its predecessor, Jetson Orin. This performance boost is critical for enabling robots to run multiple generative AI models simultaneously at the edge, unlocking real-time perception, reasoning, and interaction [2].

Nvidia CEO Jensen Huang underscored the potential of the Jetson Thor in a statement, highlighting its ability to run multiple generative AI models at the edge, positioning it as a "supercomputer" for the age of physical AI and general robotics [1]. Companies like Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Medtronic, and Meta are already integrating Jetson Thor into their systems, highlighting the platform's potential to drive innovation and efficiency in the robotics sector [2].

The availability of the Jetson AGX Thor is expected to drive innovation and efficiency in the robotics sector, which is increasingly critical for various industries. Nvidia's strategy to expand beyond data centers and into the physical world is a significant development, reflecting the growing importance of AI in robotics and automation.

References:
[1] https://seekingalpha.com/news/4488837-nvidias-jetson-thor-robot-offering-now-available-company-says
[2] https://www.therobotreport.com/nvidia-jetson-thor-brings-2k-teraflops-of-ai-compute-to-robots/