Core Insights - NVIDIA has launched the powerful new robot supercomputer NVIDIA Jetson AGX Thor, aimed at powering next-generation general and humanoid robots across various sectors including manufacturing, logistics, construction, and healthcare [3][4] - The Jetson AGX Thor offers up to 2070 FP4 teraflops of AI computing power, with a performance increase of up to 7.5 times and energy efficiency improvement of 3.5 times compared to its predecessor, Jetson Orin [3][10] - NVIDIA's CEO Jensen Huang emphasized that Jetson Thor is designed for developers creating robotic systems that interact with the physical world, marking a significant leap in physical AI capabilities [6][9] Product Launch and Features - The Jetson AGX Thor developer kit is priced at $3499 and has already been adopted by several companies including Agility Robotics, Amazon Robotics, and Boston Dynamics [4][6] - The new system supports real-time inference and is capable of running multiple generative AI models, addressing one of the major challenges in robotics [10][12] - Jetson Thor is built on NVIDIA's Blackwell architecture and features a 14-core Arm Neoverse V3AE CPU, enhancing real-time control and task management [9][10] Market Impact and Adoption - NVIDIA's Jetson platform has attracted over 2 million developers and has a growing ecosystem of over 150 hardware and software partners [8][15] - The introduction of Jetson Thor is expected to significantly enhance the capabilities of humanoid robots, with predictions of a market growth that could exceed $100 billion in the coming years [16][20] - Companies like BYD, GAC, and Xiaomi are already developing products based on NVIDIA's DRIVE AGX Thor developer kit for autonomous driving [4][18] Future Outlook - Analysts predict NVIDIA's market capitalization could reach $9 trillion by 2030, with annual revenues potentially hitting $600 billion, driven by the demand for AI infrastructure [18][20] - The company is focusing on creating a new industry that supports AI factories, AI agents, and robotics, positioning itself as a leader in the physical AI and general robotics space [20][17]
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