Nvidia introduced Jetson Thor modules built around a 2070 FP4 TFLOPS Blackwell GPU that provide 7.5x more AI compute, 3.1x more CPU performance, and 2x more memory compared with Jetson Orin. Jetson Thor operates within a 130-watt power envelope and is available as the Jetson AGX Thor Developer Kit, Jetson T5000, and Jetson T4000. The modules are engineered to process high-speed sensor data and run low-latency AI inference for visual reasoning and responsive control in dynamic real-world environments. Customers including Agility Robotics and Boston Dynamics plan to integrate Thor into humanoid platforms to enable larger policies, improved responsiveness, and more advanced manipulation and perception.
These robot modules are designed to process sensor data and AI inference with low latency, in order to assure the smooth operation of robots in real-world deployments. Su points to customers like Agility Robotics and Boston Dynamics that are planning to make use of Jetson Thor hardware. Agility Robotics' fifth-generation Digit robot incorporates prior Jetson kit and the next iteration is expected to utilize the Thor revision.
Peggy Johnson, CEO of Agility Robotics, said in a statement that the edge processing capabilities offered by Jetson Thor will improve Digit's real-time responsiveness and enable the implementation of a broader set of skills. According to the company, robot body control, object manipulation, and processing perception data all require serious computing power for real-time operation. "Thor will allow us to run larger, more powerful, and more intelligent policies and reasoning models on our robots locally, in customer facilities and deployments," the firm said.
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