NVIDIA has introduced Jetson Thor, an innovative “robot brain” set to revolutionize the landscape of physical AI in the future. Jetson Thor is available in two versions: the Jetson AGX Thor developer kit and the production-ready Jetson T5000 module. This compact supercomputer is specifically designed for humanoid, industrial, and autonomous robots. The core of Jetson Thor comprises a Blackwell GPU paired with a 14-core Arm Neoverse-V3AE CPU and 128 GB of LPDDR5X RAM, resulting in an impressive performance of up to 2,070 FP4 TFLOPS of AI compute. This marks a remarkable 7.5× increase from its predecessor, Jetson Orin, while maintaining remarkable efficiency by operating within a 40–130 watt power range and achieving nearly three times improved energy savings.
What sets Thor apart is its capacity to conduct real-time generative reasoning on-device. It can handle multimodal sensor data, make instantaneous decisions, and run multiple generative AI models simultaneously, all without relying on cloud connectivity. NVIDIA’s software ecosystem further bolsters this capability with solutions like Isaac for robotics, Metropolis for vision, Holoscan for sensor fusion, and built-in support for large-scale models such as GR00T, Llama, and Qwen. Leading robotics companies have already embraced Jetson Thor, with Agility Robotics integrating it into its humanoid “Digit” and Boston Dynamics leveraging its computing power for Atlas. Other notable adopters include Amazon Robotics, Caterpillar, Meta, Medtronic, and Figure, while companies like John Deere and OpenAI are assessing its potential.
By empowering robots to reason, adapt, and act in real time independently, NVIDIA has paved the way for cutting-edge humanoids. Jetson Thor not only propels advancements in the realm of robotics but also unlocks opportunities for advanced surgical systems, precision manufacturing, and immersive AI-driven agents.
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