Core Insights - Nvidia has launched an open-source AI model platform, Alpamayo, aimed at enhancing autonomous driving capabilities, which is expected to accelerate the penetration of high-level autonomous driving and Robo-X services [2][3] Group 1: Nvidia's Innovations - Nvidia's CEO Jensen Huang introduced the open-source VLA (Vision-Language-Action) model platform, Alpamayo, at CES 2026, along with simulation tools and an open dataset containing over 1,700 hours of driving data, creating a comprehensive autonomous driving ecosystem [2] - Alpamayo, as a reasoning VLA model, can progressively solve complex problems and generate reasoning traces similar to human thought processes, enabling safe driving in complex environments and explaining safety decisions [2][3] Group 2: Market Trends and Projections - The current stage of Robotaxi services is approaching a break-even point per vehicle, with leading companies like Loongbo and Pony.ai achieving or nearing this milestone, indicating a potential increase in revenue and profitability for Robotaxi businesses [3] - The deployment costs for unmanned logistics vehicles have dropped below 100,000 yuan, making them a cost-effective alternative to manual labor, with predictions of nearly 40,000 units shipped in China by 2025 and 100,000 units by 2026 [3] Group 3: Opportunities for Suppliers - Nvidia's development of a global L4-level autonomous driving and Robotaxi ecosystem includes partnerships with various operators and suppliers, suggesting a growing demand for high-level autonomous driving components such as smart driving chips, LiDAR, domain controllers, and electronic control systems [3] - The expansion of Nvidia's autonomous driving ecosystem is expected to create ongoing opportunities for suppliers of both hardware and software in the autonomous driving sector [3] Group 4: Investment Recommendations - The launch of the open-source autonomous driving model Alpamayo is anticipated to benefit automotive companies, component suppliers, and mobility service providers, with specific investment targets identified in the report [4]

Core Insights - Nvidia has launched the open-source AI model platform Alpamayo for autonomous driving at CES 2026, which is expected to enhance the penetration of advanced autonomous driving and Robo-X services [1][2] - The platform includes simulation tools and an open dataset with over 1,700 hours of driving data, aiming to create a comprehensive autonomous driving ecosystem [1] - Nvidia's CEO Jensen Huang announced that the NVIDIA DRIVE AV system will first be integrated into the Mercedes CLA, with plans for a self-driving taxi service testing in 2027 [1] Group 1: Technology and Innovation - Alpamayo, as a reasoning VLA model, can solve complex problems and generate reasoning traces similar to human thought processes, enabling safe driving in complex environments [2] - The introduction of Alpamayo is expected to accelerate the iteration of autonomous driving technology and promote the deployment of advanced autonomous driving and Robotaxi/Robovan services [2] Group 2: Market Trends and Projections - The Robotaxi sector is approaching a break-even point for individual vehicles, with leading companies like Luobo Kuaipao and Pony.ai achieving or nearing this milestone [3] - The deployment costs for unmanned logistics vehicles have dropped below 100,000 yuan, making them a cost-effective alternative to human labor [3] - Predictions indicate that the shipment volume of unmanned delivery vehicles in China will reach nearly 40,000 units in 2025 and is expected to double to 100,000 units in 2026 [3] Group 3: Ecosystem Development - Nvidia is building a global L4-level autonomous driving and Robotaxi ecosystem, collaborating with various operators and suppliers in the industry [4] - The demand for advanced autonomous driving components such as intelligent driving chips, LiDAR, domain controllers, and electronic control systems is anticipated to grow rapidly as the ecosystem expands [4] Group 4: Investment Opportunities - The launch of the Alpamayo platform is expected to benefit automotive companies, component suppliers, and mobility service providers [5] - Key investment targets include component suppliers like Jingwei Hirain (688326.SH), Desay SV (002920.SZ), and vehicle manufacturers such as XPeng Motors (09868) and Pony.ai (02026) [5]

Core Insights - In 2025, the A-share IPO market saw a significant recovery, with 112 companies successfully issuing shares, an increase of 10 from 2024, representing a year-on-year growth of 9.8% [1] - The total funds raised through these IPOs reached 130.835 billion yuan, nearly doubling from 66.280 billion yuan in 2024, marking a year-on-year increase of 97% [1] - Leading brokerage firms played a crucial role in this IPO financing process, with Guotai Junan Securities leading the way by underwriting 19 projects [1][2] Brokerage Distribution - The top five underwriters in terms of the number of IPOs were Guotai Junan (19), CITIC Securities (17), CITIC Jianzhong (12), China Merchants Securities (10), and Huatai United (9) [2] - The ranking of underwriters based on the amount raised shows CITIC Securities at the top with 24.654 billion yuan from 17 IPOs, followed by Guotai Junan with 19.535 billion yuan from 19 IPOs [3] Notable Performances - China Merchants Securities made a notable leap in its ranking, underwriting 10 IPOs and achieving a significant increase in underwriting amounts, now ranking sixth in the industry [4] - An example of a successful IPO is Nanguang Digital, which raised 2.714 billion yuan and achieved the fastest listing record since the implementation of the registration system, taking only 144 days from acceptance to listing [4] - The rapid IPO process is attributed to supportive government policies aimed at accelerating the digital transformation of the energy sector, reflecting the commitment of brokerage firms like China Merchants Securities to enhance their financial services [4][5]

Core Viewpoint - NVIDIA has launched a context memory storage platform at CES 2026, aimed at creating a new memory layer optimized for AI inference, bridging GPU memory and traditional storage [1][2]. Group 1: NVIDIA's New Platform - The context memory storage platform is a POD-level AI-native storage infrastructure designed to support long-term AI operations by optimizing data management and access [2]. - The platform includes hardware and software components such as BlueField-4 for data management, Spectrum-X Ethernet for high-performance networking, and various software tools to enhance system efficiency [2]. Group 2: Shift in AI Inference Bottlenecks - The bottleneck in AI inference is shifting from computation to context storage, necessitating a restructured AI storage architecture to handle increased context data from complex tasks [3]. - There is an anticipated significant growth in demand for storage chips as AI evolves from simple chatbots to intelligent collaborative agents requiring extensive context capacity [3]. Group 3: Domestic Storage Industry Opportunities - The ongoing shortage of storage capacity presents a historic opportunity for domestic storage manufacturers, especially as international competitors may face limitations in expanding production [4]. - Companies like Changxin Technology and Yangtze Memory Technologies are making strides in DRAM and NAND technologies, respectively, which could lead to substantial production increases following their IPOs [4]. Group 4: Related Companies - Key semiconductor equipment companies include Zhongwei Company, Jingzhida, and Beifang Huachuang, while notable packaging and testing firms are Deep Technology and Huicheng Shares [5][6]. - Companies involved in AI storage solutions and benefiting from storage technology iterations include Zhaoyi Innovation and Jiangbolong [6].

Core Viewpoint - NVIDIA has introduced a context memory storage platform at CES 2026, aimed at creating a new memory layer optimized for AI inference, bridging GPU memory and traditional storage [1][2]. Group 1: NVIDIA's New Platform - The context memory storage platform is a POD-level AI-native storage infrastructure designed to support long-term AI operations by optimizing data access and management [2]. - The platform includes hardware and software components such as BlueField-4 for data management, Spectrum-X Ethernet for high-performance networking, and various software tools to enhance system efficiency [2]. Group 2: Shift in AI Inference Bottlenecks - The bottleneck in AI inference is shifting from computation to context storage, necessitating a restructured AI storage architecture to handle increased context data from complex tasks [3]. - There is an expectation that the demand for storage chips will grow significantly as AI evolves from simple chatbots to more complex collaborative entities requiring extensive context capacity [3]. Group 3: Domestic Storage Industry Opportunities - The ongoing supply-demand imbalance in storage, coupled with limited expansion from overseas storage giants, presents a historic opportunity for domestic storage manufacturers to increase their market share [4]. - Companies like Changxin Technology and Yangtze Memory Technologies are making significant advancements in DRAM and NAND technologies, respectively, which could lead to substantial production capacity increases post-IPO [4]. Group 4: Related Companies - Key domestic semiconductor equipment companies include Zhongwei Company, Jingzhida, and Beifang Huachuang, among others [5]. - Companies involved in packaging and testing include Deep Technology and Huicheng Shares [6]. - Firms focusing on AI storage solutions and benefiting from storage technology iterations include Zhaoyi Innovation and Lianyun Technology [6].

Group 1 - The core viewpoint is that the spring market rally has started early, and the bull market pattern remains intact, with 2026 expected to be a significant year due to multiple positive factors [1] - Macro policy cycles indicate that 2026 will be the start of the "14th Five-Year Plan," with various departments intensifying the introduction of supporting industrial policies and investment plans, creating a favorable liquidity environment for the market [1] - Institutional funds, particularly from stock ETFs, have shown early entry into the market, with additional inflows expected from insurance funds and foreign capital due to currency appreciation, which may strengthen the spring market trend [1] Group 2 - The spring market is expected to have depth, with the Shanghai Composite Index showing continuous upward movement, indicating a robust spring theme with high elasticity in thematic opportunities [2] - Key themes to focus on include industrial themes (commercial aerospace, robotics, nuclear fusion), funding themes (high dividend recovery and core asset recovery), and policy themes (service consumption, Hainan) [2] - The investment focus is on AI computing power chains and cyclical opportunities, which are expected to have high institutional attention, although their weight in the spring market may be relatively low [2] Group 3 - From a technical perspective, after a significant rebound, the Shanghai Composite Index is approaching the 4100-point mark, and the upward momentum is expected to slow down, with potential for significant fluctuations [3] - Future industry focus remains critical, but caution is advised regarding the risk of significant adjustments following substantial speculation in individual stocks, with attention to high-low switches within sectors [3]

Group 1: Market Trends and Economic Outlook - The "American exceptionalism" narrative has reversed, impacting major asset performance throughout the past year[7] - The trend of "exceptionalism" is driven by weakening internal narratives and external challenges, with significant doubts about the U.S.'s ability to maintain global order[10] - Economic and market momentum is overly reliant on AI narratives, which are now facing increasing skepticism, leading to a decline in confidence[11] Group 2: Impact of Venezuela Events - The Venezuela situation may provide short-term support for the "exceptionalism premium," potentially enhancing market perceptions of U.S. power projection[14] - Optimistic scenarios suggest that U.S. control over Venezuela could temporarily boost risk appetite for U.S. assets, but long-term benefits are limited[14] - Risks include the possibility of the U.S. becoming entrenched in a prolonged conflict in Venezuela, which could shift the impact from short-term gains to long-term burdens[14] Group 3: Employment Data and Future Projections - Key observation points include upcoming U.S. employment data, particularly the December non-farm payrolls, which could influence market sentiment[15] - If employment data exceeds expectations, it may create a temporary "exceptionalism recovery" window, favoring U.S. assets[15] - However, if employment continues to weaken, the U.S. dollar is likely to revert to a downward trend, with a mid-term outlook of continued dollar weakness and benefits for non-U.S. markets[21]

Group 1 - The 2026 International Consumer Electronics Show (CES) will focus on the acceleration of edge AI in traditional consumer electronics and innovative hardware, showcasing AI's ongoing implementation in industrial, robotics, and smart driving scenarios [1][2] - Edge AI is expected to deeply integrate into various hardware products and industry scenarios by 2026, with significant advancements in traditional consumer electronics such as computers, displays, and home appliances [3] - Major companies like AMD, Intel, and Qualcomm are anticipated to showcase AI-enhanced processors at CES 2026, with Intel introducing its first product based on the 18A process technology [3] Group 2 - AI innovation hardware, including AI glasses and headphones, is expected to achieve breakthroughs in user interaction experiences, with various manufacturers set to present new products at CES 2026 [4] - Companies like Thunderbird Innovation and Yingmu Technology will showcase AI glasses, while other firms will introduce AI recording headphones and all-sensing wearable devices [4] - The event will also feature the world's first belt-type wearable device, VITALBELT, from a Japanese company, along with new drone products [4] Group 3 - In traditional industrial settings, companies like Siemens and Caterpillar will present innovations in AI, digital twins, and automation technologies, highlighting the large-scale application of AI in industrial and mechanical scenarios [5] - Robotics will be represented by companies like Yuzhu, which will demonstrate humanoid robots, and other firms showcasing their latest technologies and products [5] - In the smart driving sector, companies such as Aptiv and Bosch will present intelligent edge solutions that enable real-time perception, decision-making, and execution [5] Group 4 - Investment recommendations focus on the upgrade and innovative breakthroughs in edge AI, with suggested companies including chip manufacturers like Amlogic and AI component manufacturers like Huanxu Electronics [6] - Terminal product manufacturers and brand companies such as Lenovo, Xiaomi, and BYD Electronics are also highlighted as potential investment targets [6] - Core component manufacturers for edge AI, including Sunny Optical Technology and OmniVision Technologies, are recommended for investment consideration [6]

2026年1月5日，中科江南披露接待调研公告，公司于1月4日接待淡水泉、东方证券、华泰证券、中金公 司、华创证券、国泰海通等26家机构调研。 调研情况显示，近期中国人民银行出台《关于进一步加强数字人民币管理服务体系和相关金融基础设施 建设的行动方案》，其明确的"账户体系＋币串＋智能合约"数字化方案大幅提升了数字人民币在广域政 府资金使用场景的应用空间，为财政、行政、社保、医保等政府性资金管理领域的资金流转、使用和监 管指明发展方向。以财政资金为代表的政府性资金在公用事业、医保社保等闭环领域具备低成本、高效 能运用前景，中科江南自2022年起与多家银行合作开展智能合约技术预研和场景测试，率先验证财政资 金全流程闭环管理模式，已在江苏、山东、河北等地财政场景成功试点落地。 中科江南在分布式账本和区块链领域拥有成熟技术储备与实践经验，其打造的"电子凭证库"可保证智能 合约规则在财政、行政事业单位与银行间精准落地，解决单据电子化及信息流、资金流、凭证流四流合 一问题，叠加数字人民币智能合约能力能实现全流程可追溯和穿透式监管，提升财政资金管理效率和安 全性。例如在惠农补贴场景中，结合伞列钱包体系与电子凭证库优势解决传统 ...

Core Viewpoint - Geely Auto is leveraging a "dual fuel" strategy to mitigate the impact of declining new energy subsidies and is accelerating its overseas expansion, targeting an export volume of 1 million units by 2027 [1] Group 1: Sales Performance - Geely Auto achieved a sales target of 3 million units, with a goal of 3.45 million units by 2026 [2] - In December, Geely's total sales reached 236,800 units, a year-on-year increase of 12.7%, with new energy vehicle sales at 154,300 units, up 38.7% [2] - The company expects to sell 3.02 million units in 2025, a 39.0% year-on-year increase, and aims for 3.45 million units in 2026, representing a 14.1% growth [2] Group 2: Strategic Initiatives - The "dual fuel" strategy is expected to counteract the effects of subsidy reductions in 2026, with plans to sell 2.22 million new energy vehicles, a 31.5% increase [3] - Geely's exports in December reached 40,300 units, a 49.0% year-on-year increase, with total annual exports at 420,100 units, up 1.3% [3] - The company is expanding into 13 new international markets, including the UK, Italy, and Brazil, with significant progress in local production facilities [3] Group 3: Brand Development - The premium brands Zeekr and Lynk & Co showed strong sales in December, with Zeekr selling 30,300 units (up 11.3%) and Lynk & Co selling 33,800 units (up 29.4%) [4] - The average transaction price for Zeekr 9X exceeded 530,000 yuan, making it a leader in the large SUV segment, while Lynk & Co 900 has delivered over 50,000 units in six months [4] - Following the privatization of Zeekr, the integration is expected to enhance strategic synergy and scale effects, supporting brand elevation and profitability [4] Group 4: Financial Projections - The forecasted net profit for Geely Auto is 17.04 billion yuan in 2025, 20.60 billion yuan in 2026, and 24.32 billion yuan in 2027 [5] - The target price is set at 20.79 yuan per share, equivalent to 23.02 HKD, maintaining a buy rating [5]