北京时间9月24日，美股三大指数集体高开。截至发稿，纳指、标普500指数转跌。道指涨0.08%，报46328.76点，纳指跌0.06%，报22560.28点，标普500 指数跌0.05%，报6653.53点。 纳斯达克中国金龙指数高开高走，盘中最高涨3%，截至发稿涨2.79%。 | 小牛电动 | 4.721 | 7.53% | | --- | --- | --- | | NIU | | | | 世纪互联 | 10.030 | 7.27% | | VNET | | | | 新氧 | 3.970 | 6.72% | | SY | | | | 京东 | 34.875 | 5.87% | | JD | | | | 阿特斯太阳能 | 13.090 | 5.82% | | CSIQ | | | | 晶科能源 | 25.460 | 5.56% | | ગ્રદ | | | | 自度 | 131.660 | 4.85% | | BIDU | | | | 亿航智能 | 18.225 | 4.80% | | EH | | | 消息面上，9月24日，在2025杭州云栖大会上传来消息，阿里云和英伟达在Physical AI（物理AI ...

Group 1 - Alibaba Cloud and NVIDIA have reached a collaboration in the field of Physical AI, integrating NVIDIA's Physical AI software stack into Alibaba Cloud's AI platform PAI [1] - The collaboration aims to provide enterprise users with a full-link platform service that includes data preprocessing, simulation data generation, model training evaluation, robotic reinforcement learning, and simulation testing, thereby shortening the development cycle for applications like embodied intelligence and assisted driving [1] - The integration will utilize a complete set of Physical AI software, including NVIDIA Isaac Sim, NVIDIA Isaac Lab, NVIDIA Cosmos, and Physical AI datasets, combined with Alibaba Cloud's big data AI platform capabilities [1] Group 2 - Physical AI refers to intelligent systems that understand physical laws and interact with the real world, typically encapsulated in robots and autonomous vehicles [2] - The concept of Physical AI was proposed in 2020 by researchers from the Swiss Federal Laboratories for Materials Science and Technology and Imperial College London, emphasizing the collaborative evolution of body, control, and perception [2] - NVIDIA's CEO Jensen Huang has identified Physical AI as a core direction for AI development, predicting that it will soon surpass human capabilities in problem-solving by integrating AI capabilities into the human physical world [2]

9月24日，在2025杭州云栖大会上，阿里云和英伟达在Physical AI(物理AI)领域达成合作。 阿里云人工智能平台PAI将集成英伟达Physical AI软件栈，将为企业用户提供数据预处理、仿真数据生成、模型训练评估、机器人强化学习、仿真测试等 全链路平台服务，进一步缩短具身智能、辅助驾驶等应用的开发周期。 据介绍，阿里云人工智能平台PAI将集成NVIDIA Isaac Sim、NVIDIA Isaac Lab、NVIDIA Cosmos和Physical AI数据集在内的全套Physical AI软件栈，结合 阿里云大数据AI平台能力，形成覆盖数据预处理、仿真数据生成、模型训练评估、机器人强化学习、仿真测试在内的全链路平台支撑。 ...

Core Viewpoint - Alibaba Cloud and NVIDIA have formed a partnership in the Physical AI sector, integrating NVIDIA's Physical AI software stack into Alibaba Cloud's AI platform PAI to enhance the development cycle of applications like embodied intelligence and assisted driving [1] Group 1: Partnership Details - The collaboration will provide enterprise users with a comprehensive platform service that includes data preprocessing, simulation data generation, model training evaluation, robot reinforcement learning, and simulation testing [1] - The integration will utilize NVIDIA's full suite of Physical AI software, including NVIDIA Isaac Sim, NVIDIA Isaac Lab, NVIDIA Cosmos, and the Physical AI dataset [1] Group 2: Technological Impact - The partnership aims to leverage Alibaba Cloud's big data AI platform capabilities, creating an end-to-end support system for various AI applications [1] - This integration is expected to significantly shorten the development cycle for applications in the fields of embodied intelligence and assisted driving [1]

Core Viewpoint - Alibaba Cloud and NVIDIA have formed a partnership in the Physical AI sector, integrating NVIDIA's Physical AI software stack into Alibaba Cloud's AI platform PAI to enhance enterprise user services and reduce development cycles for applications like embodied intelligence and assisted driving [1] Group 1 - The collaboration will provide a full-link platform service including data preprocessing, simulation data generation, model training evaluation, robot reinforcement learning, and simulation testing [1] - The integration includes NVIDIA's Isaac Sim, Isaac Lab, Cosmos, and Physical AI datasets, combined with Alibaba Cloud's big data AI platform capabilities [1] - This partnership aims to streamline the development process for advanced AI applications, potentially leading to faster deployment in various industries [1]

Investment Rating - The investment rating for the company is "Buy" [3] Core Viewpoints - The report highlights that the company is leading the development of physical AI with five core technologies that enhance product innovation and operational efficiency [5][8] - The company aims to leverage physical AI in various sectors, including robotics, low-altitude flying vehicles, and renewable energy, showcasing significant advancements and applications [5][8] Summary by Relevant Sections Company Overview - The company,索辰科技 (688507), is positioned in the rapidly evolving field of physical AI, focusing on enhancing robotics and low-altitude scenarios [5][8] Financial Projections - Projected total revenue for 2025, 2026, and 2027 is estimated at 5.15 billion, 6.93 billion, and 9.11 billion yuan respectively, with year-on-year growth rates of 36.1%, 34.4%, and 31.4% [7][8] - Expected net profit attributable to the parent company for the same years is projected at 1.08 billion, 1.38 billion, and 1.64 billion yuan, with corresponding P/E ratios of 84.1, 65.7, and 54.8 [7][8] Technological Advancements - The company has developed a virtual training platform that integrates physical AI, significantly reducing training costs and improving efficiency in robotic training [5][12] - In the low-altitude flying vehicle sector, the company has created a three-dimensional physical map that can generate real-time data on wind and electromagnetic fields, enhancing flight safety [5][19][20] - The physical AI wind power platform showcased at the World Artificial Intelligence Conference demonstrates the company's capabilities in optimizing wind energy systems through advanced algorithms [5][26][27] Stock Performance - The company's stock closed at 102.1 yuan, with a market capitalization of approximately 90.98 billion yuan and a 52-week price range of 38.21 to 124 yuan [5]

Robotics has captured our imagination. Building a truly intelligent robot requires a large amount of training data. But capturing realworld training data or manually creating enough synthetic data is expensive and timeconuming.By combining computer graphics with AI, we can help robots learn faster and better understand the real world. NVIDIA Cosmos is a world foundation model platform built for developers to generate the required training data at an industrial scale. Cosmos Predict generates realistic train ...

VANCOUVER, British Columbia, Aug. 11, 2025 (GLOBE NEWSWIRE) -- SIGGRAPH -- NVIDIA today announced new NVIDIA Omniverse™ libraries and NVIDIA Cosmos™ world foundation models (WFMs) that accelerate the development and deployment of robotics solutions. Powered by new NVIDIA RTX PRO™ Servers and NVIDIA DGX™ Cloud, the libraries and models let developers anywhere develop physically accurate digital twins, capture and reconstruct the real world in simulation, generate synthetic data for training physical AI model ...

Investment Rating - The report maintains an investment rating of "Outperform the Market" for the computer industry, indicating an expected return that will exceed the CSI 300 index by 10% or more over the next six months [5]. Core Insights - The report emphasizes the significance of Physical AI and World Models (WFM) as the next wave in AI, particularly in robotics, which will enhance reasoning and execution capabilities, enabling robots to understand the physical world [1][9]. - NVIDIA has launched two major platforms, Cosmos and Omniverse, aimed at accelerating the development of Physical AI systems and industrial digital twins, which are crucial for the evolution of the industry [3][11]. - The domestic Physical AI industry is forming, with companies like Suochen Technology leading in the CAE sector, leveraging extensive physical simulation data for industry applications [3][12]. Summary by Sections Industry Investment Rating - The computer industry is rated as "Outperform the Market" with a projected relative return of 69% over the next 12 months compared to the CSI 300 index [5]. Industry Trends - Physical AI aims to enable intelligent agents to understand and interact with the real world effectively, encapsulated in robots and autonomous vehicles [2][10]. - The World Model is a generative AI model that helps in understanding the dynamics of the real world, utilizing various data inputs to predict spatial relationships and movements [2][10]. Key Developments - NVIDIA's Cosmos platform facilitates efficient data processing and management for Physical AI systems, while the Omniverse platform integrates various technologies for industrial applications [3][11]. - The report highlights the advantages of domestic CAE companies like Suochen Technology, which utilize generative Physical AI technology for real-world applications [3][12]. Market Performance - The computer industry index increased by 2.32% this week, outperforming the Shanghai Composite Index by 1.63 percentage points, driven by the active AI-related themes [13][14]. - AI-related companies within the computer sector have shown strong performance, with significant gains in stocks like Suochen Technology [17][18].

Core Insights - The auto industry is transitioning into the autonomous driving era, with NVIDIA positioned as a leader in AI and computing technologies for automakers [1] - General Motors has deepened its partnership with NVIDIA to integrate advanced computing and AI technologies across vehicle design, production, and driver-assistance systems [2][3] NVIDIA's Technology and Platforms - NVIDIA provides three key platforms: DGX Systems for AI model training, Omniverse for digital simulations, and DRIVE AGX for real-time data processing in vehicles [4][5] - The integration of NVIDIA's DRIVE AGX into GM's next-generation vehicles enhances safety and driver-assistance capabilities, marking a significant advancement from previous GPU usage [3] Collaborations with Other Automakers - Toyota is utilizing NVIDIA's DRIVE AGX Orin platform and DriveOS to enhance its advanced driving assistance technologies [7] - Volvo Cars integrates NVIDIA's DRIVE AGX into electric vehicle models, while Zenseact uses NVIDIA DGX for sensor data analysis [8] - Other automakers like Lucid Motors, Polestar, and Rivian are also aligning with NVIDIA to improve vehicle intelligence [9] Expansion in China - BYD has expanded its collaboration with NVIDIA, now utilizing cloud infrastructure for AI application development and factory planning [10] - Li Auto employs NVIDIA DRIVE processors to enhance its autonomous driving capabilities, moving towards fully autonomous vehicles [11] - XPeng has developed its advanced driving assistance system, XNGP, using NVIDIA's DRIVE platform [12] - NIO has integrated NVIDIA technology since 2014, evolving from basic infotainment to advanced autonomous driving solutions [13] Industry Trends - The partnerships indicate a growing recognition among automakers of the need to integrate advanced computing platforms to remain competitive in a rapidly evolving market [14] - NVIDIA is driving the next wave of mobility by transforming in-car experiences and manufacturing processes, leading to safer and smarter vehicles [15]