英伟达推出“Thor”，谁赚了？

Core Insights - NVIDIA has launched Jetson Thor, a high-performance computing platform designed for physical AI and humanoid robots, which is being referred to as the "new brain for robots" [1][2][4] - Jetson Thor is based on the Blackwell architecture, offering significant performance improvements, including 2070 TFLOPS of AI computing power, which is 7.5 times that of the previous Orin series and 7000 times that of products from a decade ago [2][4] - The platform aims to create a unified computing architecture from cloud to edge, significantly reducing development complexity and accelerating the evolution of robotic technology [4][12] Performance and Efficiency - Jetson Thor boasts a 3.5 times improvement in energy efficiency, allowing developers to achieve more computational capabilities within limited power budgets, which is crucial for mobile robotic platforms [2] - The memory configuration includes 128GB LPDDR5X and a bandwidth of 273GB/s, supporting 100Gbit/s Ethernet [2] Market Positioning - NVIDIA positions Jetson Thor as an essential component for robot development, alongside its DGX systems for AI model training and the Omniverse platform for simulation testing, creating a closed-loop ecosystem [2][4] - The starting price for the Jetson Thor kit is $3,499, maintaining NVIDIA's strategy of providing top-tier hardware for high-performance computing while ensuring ecosystem partners can achieve sufficient returns [4] Ecosystem and Developer Engagement - The NVIDIA Jetson platform has attracted over 2 million developers and has a growing ecosystem of over 150 hardware systems, software, and sensor partners [5] - The launch of Jetson Thor comes at a time when the robotics industry is experiencing significant investment activity, with 88 financing events in the first half of 2025, a nearly 80% year-on-year increase [7] Strategic Intent - NVIDIA's introduction of Thor is aimed at capturing the emerging humanoid robot market, which is currently fragmented, by establishing itself as a standard provider through its hardware and software ecosystem [8][12] - The company is betting on the "physical AI" era, which includes systems that interact with the real world, such as robots and autonomous vehicles, with a focus on real-time understanding and decision-making capabilities [12][13] Competitive Landscape - The launch of Jetson Thor poses challenges for competitors like Qualcomm, Huawei, and Horizon, who may not remain passive in response to NVIDIA's strong market entry [16] - The increasing reliance on NVIDIA's technology may create pressure on other robotics manufacturers, as the performance of their products may become standardized around NVIDIA's capabilities [18] Industry Implications - The introduction of Jetson Thor may lead to a new phase of competition in the robotics industry, where the focus shifts from hardware performance to algorithm innovation and application commercialization [18] - Concerns arise for Chinese robotics manufacturers regarding the dependency on foreign chips, as geopolitical tensions may pose risks to their supply chains and operational stability [19]