1. NVIDIA introduces Jetson Thor modules, offering 7.5x more AI compute, 3.1x more CPU performance, and 2x more memory than its predecessor for real-time robotic applications with high-speed sensor data processing and visual reasoning at the edge.
2. Agility Robotics integrates Jetson Thor into its humanoid robot Digit, enhancing real-time perception and decision-making capabilities for complex AI skills and behaviors in warehouse and manufacturing environments.
3. Boston Dynamics incorporates Jetson Thor into its humanoid robot Atlas, enabling advanced compute, AI workload acceleration, data processing, and memory on device for various robotic applications like surgical assistants, delivery robots, and industrial manipulators.
4. Jetson Thor supports generative reasoning models with transformer models, vision language models, and vision language action models for real-time reasoning at the edge while minimizing cloud dependency, enabling the next generation of physical AI agents.
5. Research labs at Stanford, Carnegie Mellon, and the University of Zurich leverage Jetson Thor to advance perception, planning, and navigation models for autonomous robots in medical triage, search and rescue, and other applications, benefiting from improved performance and sensor-fusion capabilities.
6. The Jetson Thor family includes a developer kit with a Jetson T5000 module, reference carrier board, active heatsink, and power supply, supporting a variety of application requirements and industrial automation protocols for enterprise developers, with hardware and sensor partners building production-ready systems.
7. Thousands of software companies can enhance vision AI and robotics applications with multi-AI agent workflows running on Jetson Thor, with leading adopters like Openzeka, Rebotnix, Solomon, and Vaidio leveraging the platform for real-time physical AI advancements across various industries.

Read more at NVIDIA: NVIDIA Jetson Thor Unlocks Real-Time Reasoning for General Robotics and Physical AI