NVIDIA Jetson Thor Enhances Real-Time AI Capabilities in Robotics
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Jessie A Ellis
Aug 25, 2025 12:02
NVIDIA unveils Jetson Thor, a powerful AI module for robotics, offering significant advancements in real-time reasoning and sensor processing, according to NVIDIA.
The latest innovation in robotics and AI from NVIDIA, the Jetson Thor, is set to revolutionize real-time reasoning for robotic systems. Designed to meet the demands of millions of robotic developers, Jetson Thor delivers an impressive 2,070 FP4 teraflops, tackling complex applications such as agentic AI and high-speed sensor processing, according to NVIDIA. Advancements in AI Compute and Memory NVIDIA has announced that Jetson Thor provides a substantial leap in performance compared to its predecessor, the Jetson Orin. It offers 7.5 times more AI compute, 3.1 times more CPU performance, and double the memory, enabling the processing of high-speed sensor data and visual reasoning at the edge. This advancement is crucial for multimodal AI applications, including humanoid robotics. Industry Adoption and Applications Companies like Agility Robotics and Boston Dynamics are already integrating Jetson Thor into their systems. Agility Robotics plans to enhance its humanoid robot, Digit, with Jetson Thor, boosting its real-time perception and decision-making capabilities. Similarly, Boston Dynamics is incorporating Jetson Thor into its humanoid robot, Atlas, to leverage server-level compute capabilities directly on the device. Jetson Thor’s capabilities extend beyond humanoid robots, accelerating applications such as surgical assistants, delivery robots, and industrial manipulators. The platform supports real-time inference for larger, more complex AI models, making it a versatile tool in the robotics field. Support for Generative Reasoning Models Jetson Thor is optimized for generative reasoning models, enabling the next generation of physical AI agents to operate in real-time at the edge. It supports popular generative AI frameworks and reasoning models, including Cosmos Reason, DeepSeek, and Llama, among others. This optimization ensures…
Filed under: News - @ August 26, 2025 4:27 am