素有全球科技行业"风向标"之称的国际消费电子展(CES)已于1月9日在美国拉斯维加斯落下帷幕。这场科技盛宴虽已结束，但其揭示的产业变革浪潮仍在激 荡人心——AI正以前所未有的速度突破数字世界的边界，迈向物理世界的广阔天地，这意味着物理AI的时代浪潮已奔腾而来。 在这样的产业背景下，将"以精准时空智能，加速物理AI发展"作为使命与愿景的广东导远科技股份有限公司(以下简称"导远科技")正以主动姿态拥抱变革。 其已启动赴港上市征程，欲乘行业东风在物理AI的广阔赛道上加速驰骋。 导远科技已于1月1日向港交所主板递交上市申请，中金公司（601995）、中信建投（601066）国际为其联席保荐人。 据灼识咨询数据，导远科技不仅是全球首家将车规级MEMS组合时空智能解决方案量产应用于智能驾驶领域的企业，更以2024年时空智能解决方案装车量为 标尺，稳居全球汽车产业时空智能解决方案供应商榜首——市场份额高达27.6%，超越华为、特斯拉等头部玩家，成为行业绝对龙头。 且依托汽车领域的深厚积累，导远科技已将业务版图拓展至机器人、工程机械、可再生能源系统等多个新兴领域，致力于为物理AI应用筑牢可靠的时空智 能基石。 至此，一个关键 ...

素有全球科技行业"风向标"之称的国际消费电子展(CES)已于1月9日在美国拉斯维加斯落下帷幕。这场科技盛宴虽已结束，但其揭示的产业变革浪潮仍在激 荡人心——AI正以前所未有的速度突破数字世界的边界，迈向物理世界的广阔天地，这意味着物理AI的时代浪潮已奔腾而来。 在这样的产业背景下，将"以精准时空智能，加速物理AI发展"作为使命与愿景的广东导远科技股份有限公司(以下简称"导远科技")正以主动姿态拥抱变革。 其已启动赴港上市征程，欲乘行业东风在物理AI的广阔赛道上加速驰骋。 智通财经APP获悉，导远科技已于1月1日向港交所主板递交上市申请，中金公司、中信建投国际为其联席保荐人。 据灼识咨询数据，导远科技不仅是全球首家将车规级MEMS组合时空智能解决方案量产应用于智能驾驶领域的企业，更以2024年时空智能解决方案装车量为 标尺，稳居全球汽车产业时空智能解决方案供应商榜首——市场份额高达27.6%，超越华为、特斯拉等头部玩家，成为行业绝对龙头。 且依托汽车领域的深厚积累，导远科技已将业务版图拓展至机器人、工程机械、可再生能源系统等多个新兴领域，致力于为物理AI应用筑牢可靠的时空智 能基石。 至此，一个关键问题随之浮现 ...

Group 1 - The U.S. government is considering multiple intervention options in Iran, including military strikes and deploying a carrier strike group to the region [2][3] - The Federal Communications Commission (FCC) has approved SpaceX's plan to deploy an additional 7,500 Starlink satellites, increasing its total to 15,000, which will enhance global internet services [4] - SpaceX's satellite upgrades will allow operations across five frequency bands and improve network capacity, supporting next-generation mobile communication services with speeds up to 1 Gbps [4] Group 2 - The app "Did I Die?" has seen a price increase from 1 yuan to 8 yuan after gaining popularity, with the developers planning to enhance features and ensure sustainable development [9][10] - San Francisco's Sam's Club has reported a surge in sales of a down jacket priced at 499 yuan, which has a filling weight of 400 grams, indicating strong consumer demand [11][12] - China has applied for over 200,000 satellite frequency resources, indicating a strategic national interest in satellite technology and positioning itself to compete with companies like SpaceX [13] Group 3 - SanDisk plans to raise enterprise-level NAND prices by over 100% in March and is requiring full cash prepayment from customers, reflecting a supply-demand imbalance in the storage market [14] - Semiconductor company Zhongwei plans to reduce its shareholding by up to 2% due to tax-related needs after the chairman renounced U.S. citizenship to regain Chinese nationality [15][16] - The stock of Guosheng Technology will resume trading on January 12 after a period of abnormal fluctuations, with a cumulative increase of 370.20% during the suspension [28]

Investment Rating - The industry investment rating is "Positive" [2] Core Viewpoints - The release of the Nvidia Rubin platform marks a new era in AI computing power, with a complete transformation of global computing facilities towards the "AI factory" paradigm [3][39] - The Rubin platform features six new chips designed for AI supercomputers, significantly enhancing inference performance and reducing training costs [3][7] - The introduction of open-source models expands Nvidia's ecosystem, covering various fields including biomedical AI, physical AI, and autonomous driving [3][29] Summary by Sections Chip Performance - The Rubin GPU introduces a Transformer engine, achieving inference performance of 50 PFLOPS, which is five times that of the Blackwell GPU, while training performance reaches 35 PFLOPS, 3.5 times that of Blackwell [3][13] - The Vera CPU is designed for data movement and intelligent processing, featuring 88 custom Nvidia cores and a system memory of 1.5 TB, which is three times that of the Grace CPU [3][12] Storage Solutions - The Rubin platform addresses KV Cache issues with a new inference context memory storage platform, significantly enhancing memory performance and efficiency [3][18] - Each Rubin GPU can be equipped with up to 288 GB of HBM4, with total memory bandwidth increased to 22 TB/s, 2.8 times that of Blackwell [3][14] PCB and Rack Innovations - The transition to a cableless interconnect architecture in the Rubin NVL72 PCB significantly reduces assembly time by 18 times and lowers operational costs [3][22] - The system's collaborative design enhances efficiency, allowing for a reduction in the number of GPUs needed for training large models by 75% compared to the previous generation [3][25] Open Source Models - The expansion of Nvidia's open-source model ecosystem includes updates across six major areas, with a focus on the Nemotron series for various applications [3][32] - The Nemotron series includes models for inference, retrieval-augmented generation, safety, and speech processing [3][32] Physical AI Developments - The Cosmos model is designed for understanding and generating physical world videos, while Alpamayo serves as an open-source toolchain for autonomous driving, introducing reasoning capabilities [3][33][34]

Investment Rating - The investment rating for the automotive industry is "Positive" (maintained) [1] Core Insights - The automotive sector is experiencing significant growth, with notable performances from companies like Xpeng and Geely, which have reported substantial year-on-year increases in deliveries and sales [5][14] - The market is witnessing a shift towards electric vehicles (EVs), with a strong emphasis on autonomous driving technology and AI integration [13][14] - The overall automotive market in China is projected to continue its upward trajectory, with increasing penetration of new energy vehicles [19] Industry News - Xpeng delivered over 420,000 vehicles in 2025, marking a 126% year-on-year increase, and is focusing on full autonomous driving and physical AI production in 2026 [5][13] - Geely's total sales surpassed 4 million vehicles for the first time in 2025, achieving a 26% increase, with a 56% penetration rate for new energy vehicles [5][14] - GAC Group's sales fell by 14.06% in 2025, with GAC Toyota being the only brand to show growth [5][15] - Xiaomi's SU7 model became a bestseller in the 200,000+ yuan category, with over 360,000 units delivered [5][16] - Tesla's Shanghai Gigafactory produced its 5 millionth electric drive system, highlighting its significant role in global EV production [5][18] Market Performance - The automotive sector's performance in the A-share market showed a 2.73% increase, ranking 20th among primary industries [6][28] - The passenger vehicle index rose by 0.71%, while the commercial vehicle index increased by 3.14% [6] - The automotive parts index saw a 3.87% rise, with specific segments like electric control systems and bearings showing notable gains [6][38] Investment Recommendations - For passenger vehicles, there is a strong demand for high-end domestic luxury cars, with recommendations for companies like JAC Motors and Seres, while Geely is identified as a beneficiary [7] - In the automotive parts sector, profitability is expected to improve, with recommendations for companies such as Desay SV and Zhejiang Xiantong, and beneficiaries including Weichai Power and Fuyao Glass [7]

Investment Rating - The report maintains a positive outlook on the sectors of physical AI, overseas computing power, robotics, and intelligent connected vehicles [4][10]. Core Insights - The report highlights significant advancements in physical AI, including NVIDIA's comprehensive suite for physical AI, which encompasses models, frameworks, and infrastructure, marking a pivotal moment in AI development [4][10]. - The robotics sector is showcased as a competitive arena, with numerous Chinese companies demonstrating their technological capabilities at CES 2026, alongside international competitors like Boston Dynamics [4][10]. - The intelligent connected vehicle industry is undergoing a comprehensive upgrade, with companies like Geely enhancing their AI capabilities and setting ambitious sales targets for 2026 [4][10]. Summary by Sections 1. NVIDIA: Launch of Physical AI Suite and Rubin - NVIDIA introduced a comprehensive suite for physical AI, termed the "Cosmos" model, which integrates various data sources for training and application [10][11]. - The Rubin platform was unveiled, featuring a new memory storage system to address KV Cache expansion issues and doubling bandwidth capabilities [29][30]. 2. AMD: Need to Enhance Scale-up Capabilities - AMD showcased its MI455X Helios rack, which includes new GPU and CPU technologies aimed at competing with NVIDIA's offerings [61][66]. - The report notes that AMD's scale-up network capabilities are still in development, with future enhancements expected from partnerships with ecosystem players [64][66]. 3. Robotics: Global Competition and Technological Showcases - The report emphasizes the rapid development of the Chinese robotics industry, with numerous companies presenting their latest advancements at CES 2026 [67][68]. - Internationally, Boston Dynamics introduced the latest version of its Atlas robot, which is set for mass production and aims to integrate advanced AI capabilities [82][83]. 4. Intelligent Connected Vehicles: Comprehensive Upgrades - Geely is enhancing its AI-driven vehicle capabilities, aiming for significant sales growth and the introduction of advanced driving features by 2026 [91].

Core Insights - The article highlights "Physical AI" as a significant trend at the 2026 CES, with a focus on robotics applications, indicating a consensus on the global development of robotics despite early-stage product challenges [2][3] - NVIDIA's CEO emphasized "Physical AI" during his keynote, shifting the company's focus towards building global AI infrastructure to integrate intelligent agents into the real world [2] - The article suggests that 2026 may mark the year for the realization of Agentic AI, supported by acquisitions and technological advancements in both software and hardware [4] Summary by Sections Physical AI Concept - "Physical AI" is defined as models that use motion skills to understand and interact with the real world, typically encapsulated in robots and autonomous vehicles [3] - A fundamental challenge in training such AI is enabling it to comprehend physical world commonalities, such as object permanence and causal relationships [3] - NVIDIA's solution includes a new computing architecture and open-source models to accelerate the development of autonomous driving and Physical AI [3] Future Trends and Opportunities - The article predicts that 2026 will be a pivotal year for consumer technology, driven by AI-enabled product innovations and potential valuation re-evaluations in the tech consumption sector [4] - AI applications in consumer scenarios, from indoor cleaning to smart wearables, are highlighted as key trends observed at CES [4] - Companies with comprehensive product portfolios and ecosystem integration capabilities are expected to gain market share rapidly, while some tech consumption firms may experience systematic valuation re-evaluations due to AI catalysts and performance confirmations [6]

Core Insights - The main highlight of CES 2026 is "Physical AI," particularly applications involving robotics, which is seen as a potential turning point similar to the early days of autonomous driving [1][3] - NVIDIA's CEO emphasized "Physical AI" during his keynote, indicating a shift towards building global AI infrastructure that integrates intelligent agents into the physical world [1][3] Group 1: Definition and Challenges of Physical AI - "Physical AI" refers to models that use motion skills to understand and interact with the real world, typically encapsulated in autonomous machines like robots and self-driving cars [3][4] - A fundamental challenge in training such AI is enabling it to comprehend common physical world concepts, such as object permanence and causality, which are intuitive for humans but not for AI [4] Group 2: Technological Developments and Future Trends - NVIDIA's new computing architecture, Rubin, and the release of the open-source model Alpamayo aim to accelerate advancements in autonomous driving and Physical AI [4] - The year 2026 is anticipated to mark the emergence of Agentic AI, supported by acquisitions and deployments from companies like Meta and NVIDIA, which are enhancing AI training and large-scale reasoning capabilities [4] Group 3: Consumer Applications and Market Opportunities - The application of AI in consumer scenarios is a key focus of CES, with innovations in products ranging from indoor cleaning to smart wearables, indicating a significant acceleration in product development [4] - AI glasses are expected to enter a phase of widespread adoption, with notable products from Chinese companies like Alibaba and Rokid showcasing advanced features and ecosystem integration [5] - The technology consumer sector is projected to experience a new growth cycle driven by technological innovation and valuation reassessment, particularly for companies with strong ecosystem capabilities [5]

Core Insights - The emergence of "Physical AI" is accelerating, with significant developments showcased at the 2026 CES and Alibaba Cloud's event in Shenzhen, indicating a shift towards AI integration in physical devices [1][3][4] Group 1: AI Hardware Transformation - AI hardware is evolving from mere marketing gimmicks to genuine intelligent devices capable of perception, understanding, and decision-making, marking a significant step in AI's practical application [3][4] - The Pettichat pet translator, which translates pet sounds into human language with a 94.6% accuracy rate, exemplifies the innovative capabilities of AI hardware [4] - The market for AI hardware is expanding rapidly, with over 1,000 smart hardware products showcased at Alibaba Cloud's event, indicating a growing demand and the entry of numerous brands [6] Group 2: Industry Dynamics - Alibaba Cloud's "Qianwen" model aims to become the Android of the AI hardware sector, facilitating a diverse range of devices to adopt intelligent systems through open-source and adaptable solutions [7][10] - The shift from hardware sales to service-oriented models is becoming prevalent, as companies leverage AI capabilities to enhance user experience and create sustainable profit models [10][11] - The introduction of a licensing fee model for AI services is expected to alleviate cost concerns for hardware manufacturers, encouraging mass production and competitive pricing [10][12] Group 3: Market Outlook - The Chinese AI hardware market is projected to exceed 1.1 trillion yuan by 2025, with a year-on-year growth of 13.4%, indicating a robust growth trajectory for the industry [12]

Core Viewpoint - The article emphasizes the rapid advancement of AI hardware, transitioning from novelty to practical applications, particularly in the realm of "Physical AI" as highlighted at major tech events like CES 2026 and Alibaba's cloud exhibition [1][3][4]. Group 1: AI Hardware Transformation - AI hardware is evolving into intelligent entities capable of perception, understanding, and decision-making, marking a significant shift from mere marketing gimmicks to functional devices [3]. - The demand for AI hardware is increasing, with new applications being rapidly developed, as evidenced by the diverse range of products showcased at the Alibaba cloud exhibition, including over 1,000 smart hardware items from more than 200 brands [8][9]. Group 2: Innovations in AI Hardware - Notable innovations include the Pettichat pet translator, which achieves a 94.6% translation accuracy for pet sounds, demonstrating the potential of AI in everyday applications [6]. - The AI hardware ecosystem is expanding, with various products like smart glasses, AI companions, and training devices becoming mainstream, indicating a robust market for AI-integrated solutions [8]. Group 3: Competitive Landscape - Major players in the AI hardware space, such as Alibaba's Qianwen, are positioning themselves similarly to Android by providing open-source and adaptable solutions that lower barriers for hardware manufacturers [9][14]. - The shift from hardware sales to service-oriented models is becoming prevalent, allowing manufacturers to enhance user experience and establish sustainable profit models [14][15]. Group 4: Future Outlook - The Chinese AI hardware market is projected to exceed 1.1 trillion yuan by 2025, with a year-on-year growth of 13.4%, indicating a strong and ongoing expansion in this sector [16]. - Companies like Alibaba are focused on fostering an ecosystem that encourages innovation and collaboration among hardware manufacturers, aiming to enhance the overall market potential for AI hardware [16].