Nvidia’s Thor Makes Robots Smarter, But Not More Reliable

The real-world failures of robotaxis and humanoids show the technology’s present low viability
“[Jetson AGX Thor is] the physical computer that’s inside the robot, the so-called robot brain.” That’s how Deepu Talla, Nvidia’s vice president for robotics and edge AI, described the company’s new $3,499 developer kit last week. The chip, 7.5 times faster than its predecessor, is designed to run Gen AI models in real time, small enough and efficient enough to live inside a humanoid robot. Peggy Johnson, the CEO of Agility Robotics, promised that “the powerful edge processing offered by Jetson Thor will take Digit to the next level,” referring to the company’s warehouse robot. Boston Dynamics is wiring the same chip into its Atlas humanoid. Nvidia calls it a “robot brain.” But brains don’t walk. And the last half decade of robotics has shown that faster chips a
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Picture of Mukundan Sivaraj
Mukundan Sivaraj
Mukundan covers the AI startup ecosystem for AIM Media House. Reach out to him at mukundan.sivaraj@aimmediahouse.com.
25 July 2025 | 583 Park Avenue, New York
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