通用GPU公司天数智芯成功上市，"瑞幸操盘手"黎辉揽获3.4倍浮盈。 1月8日，天数智芯（9903.HK）登陆港交所，截至收盘，公司股价报156.8港元/股，涨幅8.44%，总市值 约400亿港元。 天数智芯是国内AI芯片行业主要参与者之一，此次上市共发行2543.18万股H股，发行价144.6港元/股， 总募资额约37亿港元。募集资金将用于通用GPU芯片及AI算力解决方案的研发与商业化、销售与市场 拓展等用途。 天数智芯是近期第四家上市的国产GPU公司，此前，摩尔线程（688795.SH）、沐曦股份 （688802.SH）、壁仞科技（6082.HK）先后登陆A、H股。 相较于前三家公司，天数智芯事实上成立时间更早，是国内最早推出通用GPU的公司。但从估值角度来 看，摩尔线程、沐曦股份、壁仞科技的最新市销率（TTM）分别为335倍、146倍、212倍，天数智芯的 市销率仅约56倍。 虽然市场关注度略逊色于其余几家GPU公司，但天数智芯的上市仍为上市前股东带来大笔浮盈。 天数智芯的第一大股东集团是由公司雇员及被动财务投资者持有的多家持股平台，上市后持股比例为 21.25%。第一大外部股东集团是由大钲资本旗下多家 ...

"物理AI"究竟是指什么？按照英伟达的解释，"物理AI"是指让摄像头、机器人和自动驾驶汽车等自主系 统能够在物理世界中完成感知、理解、推理，并执行或协调复杂动作。 2026年美国拉斯维加斯消费电子展（CES）正在举行。作为国际消费电子领域的"风向标"，CES历来是 观察前沿技术走向的重要窗口。今年，一个新词被频频提及——"物理人工智能（物理AI，Physical AI）"。 在展会一系列主题演讲和行业讨论中，"物理AI"成为出现频率最高的关键词之一。AI芯片行业领军企业 英伟达首席执行官黄仁勋在主旨演讲中17次提及这一概念。与2025年CES上热议的"AI智能体"相比，这 一新的热词折射出AI技术发展路径和产业关注重点的变化。 （来源：沈阳晚报） 转自：沈阳晚报 ...

Core Viewpoint - The Ministry of Industry and Information Technology, along with eight other departments, has issued the "Implementation Opinions on the Special Action of 'Artificial Intelligence + Manufacturing'" aiming to enhance the application of AI in the manufacturing sector by 2027, including the development of general models and high-quality data sets [1] Group 1: AI Infrastructure Development - The first priority of the Opinions is to strengthen the supply of AI computing power, promoting the development of intelligent chips and key technologies [2] - The Opinions emphasize the need for high-level industry models that cater to the real-time, reliability, and safety characteristics of the manufacturing sector [2] - The AI chip market in China is projected to grow from 142.54 billion yuan in 2024 to 1,336.79 billion yuan by 2029, with a compound annual growth rate of 53.7% from 2025 to 2029 [3] Group 2: Application Empowerment in Key Industries - The second priority is to accelerate the empowerment of key industries through AI, with specific deployment plans for sectors such as raw materials, equipment manufacturing, consumer goods, electronic information, and software services [4] - The Opinions highlight the need for a comprehensive application roadmap for "AI + Manufacturing," focusing on the automotive industry's intelligent upgrades and the development of flexible production lines [4][5] - AI is expected to enhance production efficiency in the equipment manufacturing sector and facilitate predictive maintenance to reduce defect rates [5]

Group 1 - The core theme for China's economy in 2026 will focus on boosting domestic demand and emphasizing technology development, as external uncertainties persist due to factors like the US-China trade war [2][3][25] - The economic growth target for 2026 is set at approximately 5.0%, which aims to ensure over 10 million new jobs, balancing current needs with long-term goals [6][25] - The potential GDP growth rate is projected to decline to around 4.63% during the 15th Five-Year Plan period (2026-2030), influenced by structural constraints such as an aging population and diminishing capital returns [4][5][6] Group 2 - The government is expected to implement more proactive fiscal and monetary policies, maintaining a fiscal deficit of around 4% and a broad fiscal deficit rate potentially exceeding 10% [7][12] - To address insufficient effective demand, an annual injection of 4 trillion to 5 trillion yuan into the economy is necessary to maintain normal economic circulation [12][25] - The real estate market is anticipated to face significant challenges, with a projected need for approximately 4.58 trillion yuan to normalize unsold housing inventory [9][10] Group 3 - The focus on technology will include significant investments in AI infrastructure, semiconductor manufacturing, and high-end manufacturing sectors, with domestic companies expected to benefit from policy support [21][25] - The consumer market is expected to see a shift towards service consumption, with policies aimed at enhancing consumer environments and increasing household income [19][20] - Structural policies will be necessary to improve income distribution and enhance consumer spending, particularly targeting middle and low-income groups [14][17][25]

Group 1 - The core viewpoint of the article is the implementation of the "AI + Manufacturing" initiative, aiming to enhance the application of AI in the manufacturing sector by 2027, including the development of general large models and high-quality data sets [1][2] - The initiative outlines the goal to cultivate 2 to 3 globally influential leading enterprises and a number of specialized small and medium-sized enterprises, as well as to establish a global leading open-source ecosystem [1][2] - The document emphasizes the importance of strengthening AI computing power supply and promoting the development of intelligent chips and core technologies [2][3] Group 2 - The initiative prioritizes the empowerment of five key industries: raw materials, equipment manufacturing, consumer goods, electronic information, and software and information technology services [4][5] - Specific applications of AI in the equipment manufacturing sector include the intelligent upgrade of the automotive industry, focusing on real-time simulation and optimization of design parameters [4][5] - The initiative aims to address the urgent need for digital transformation in these industries, leveraging AI to enhance production efficiency and reduce defect rates in manufacturing processes [5]

Core Viewpoint - The Ministry of Industry and Information Technology and eight other departments have issued the "Implementation Opinions on the Special Action of 'Artificial Intelligence + Manufacturing'" aiming to enhance the application of AI in the manufacturing sector by 2027, including the development of general models and high-quality data sets [1] Group 1: AI Infrastructure and Development - The first priority of the Opinions is to strengthen the supply of AI computing power, promoting the development of intelligent chips and key technologies [2] - The AI chip market in China is projected to grow from 142.54 billion yuan in 2024 to 1,336.79 billion yuan by 2029, with a compound annual growth rate of 53.7% from 2025 to 2029 [3] - Domestic companies like Huawei and Cambricon are accelerating the replacement of AI chips, which are essential for AI large models [3] Group 2: Industry Focus and Application - The Opinions emphasize accelerating AI empowerment in five key industries: raw materials, equipment manufacturing, consumer goods, electronic information, and software and IT services [4] - Specific applications in the equipment manufacturing sector include the development of automotive models for real-time optimization and intelligent upgrades [5] - AI is expected to enhance production efficiency and reduce defect rates in manufacturing, particularly in raw materials and equipment sectors [5]

Group 1: Company News - WeChat's official statement denies the existence of any new account suspension rules, labeling rumors about "Tencent WeChat new regulations" as false [1] - Taichu Yuanqi, a domestic AI chip company, has been recognized as a national high-tech enterprise by Jiangsu Province [2] - Alibaba's AI model, DAMO PANDA, has been reported to effectively assist in early screening of pancreatic cancer, having analyzed over 180,000 CT scans [3] - Weimob Group has announced a strategic cooperation with Alibaba's Taobao Flash Purchase to enhance local retail digitalization [4] - YHLO has signed a strategic cooperation framework agreement with Brain Machine Starlink to develop brain-computer interface products [5] - T3 Mobility has successfully migrated its entire business to Tencent Cloud, marking the largest and most complex cloud migration in the industry [6] Group 2: Investment and Financing - Qiang Brain Technology, a brain-computer interface "unicorn," has completed approximately 2 billion RMB in financing, making it the second-largest financing in the field after Neuralink [7] Group 3: Product Launches - Qianli Zhijia and Geely jointly launched a new advanced driving assistance brand, G-ASD, at CES 2026 [8] - XGIMI unveiled its AI glasses brand, MemoMind, at CES, with over 1.5 billion RMB invested in R&D since its listing [9] Group 4: Industry Insights - AMD's CEO, Lisa Su, predicts that the AI industry will grow to over 5 billion daily users within five years [10] - The National Data Bureau plans to introduce over 30 national standards in the data field by 2026, focusing on emerging areas [10] - The State Administration of Foreign Exchange aims to optimize trade foreign exchange management and expand high-level cross-border trade pilot programs [10]

Investment Rating - The report maintains a "Positive" investment rating for the industry [7] Core Insights - Recent developments in the AI sector include the successful listing of Wallen Technology on the Hong Kong Stock Exchange and Baidu's Kunlun Chip planning a spin-off listing. DeepSeek has proposed a new mHC architecture that reduces the energy and computational requirements for training advanced AI, potentially accelerating the industrialization of AI [2][4] - The report highlights the upcoming IPOs of AI companies Zhiyu and MiniMax on January 8 and 9, respectively, and notes the partnership of Doubao with the Spring Festival Gala as a significant event [2][10] - The report identifies several promising investment opportunities within the AI sector, including high-quality IP benefiting from AI technology advancements, internet giants with advantages in traffic, models, and data, and vertical sectors like advertising, e-commerce, and education that have successfully replicated overseas business models in China [2][10] Summary by Sections Recent Events - Wallen Technology has successfully listed on the Hong Kong Stock Exchange, filling an important gap in the computing power sector. The company has developed a full chain of capabilities from high-end AI chips to computing clusters, with its self-developed "Biren" GPGPU architecture and related hardware products. The stock surged by 75.82% on its first day, indicating a new phase for the domestic computing power industry [10] - Baidu's Kunlun Chip is set to enhance its valuation transparency and attract investors focused on hard technology by planning a spin-off listing. The Kunlun Chip P800 cluster, capable of supporting multiple large models, marks a significant milestone in domestic computing power [10] - DeepSeek's new mHC architecture addresses issues in the existing Hyper-Connections structure, showing a mere 6.7% increase in training time while achieving significant performance improvements, thus lowering the costs associated with AI model training [10] Investment Opportunities - The report emphasizes the accelerated marginal growth in AI, with a focus on investment opportunities in the AI sector. It highlights the potential of high-quality IP benefiting from AI advancements, internet giants with data advantages, and vertical sectors that can replicate successful overseas business models [2][10]

Group 1: Computer Industry Insights - DeepSeek has released the mHC framework, which indicates the evolution direction for next-generation infrastructure, enhancing large model training stability, speed, and cost-effectiveness [3][4] - The mHC architecture introduces manifold constraints, utilizing the Sinkhorn-Knopp algorithm to project residual mapping matrices onto Birkhoff polytope, demonstrating superior performance and scalability in large-scale training [3][4] - The mHC framework is expected to inspire new research paths and improve the balance between plasticity and stability in model training, potentially leading to innovative methods in architecture design [4] Group 2: AI Chip Design Paradigm - The mHC framework proposes a new paradigm for AI chip design by addressing the mismatch between computing power and bandwidth, advocating for a shift from "computing power-first" to "efficiency-first" in chip design [5] - mHC's optimization techniques, such as kernel fusion and selective recomputation, significantly reduce bandwidth requirements by consolidating multiple memory accesses into a single access [5] - The introduction of specialized projection operator acceleration units in chip design could disrupt the current dominance of general-purpose computing units in AI chips, promoting a heterogeneous architecture [5] Group 3: Non-ferrous Metals Industry Insights - The non-ferrous metals sector remains promising, with China's manufacturing PMI for December 2025 exceeding expectations, indicating an overall economic recovery [9] - The U.S. initial jobless claims for the week ending December 27, 2025, were lower than expected, suggesting a strengthening labor market [10] - Geopolitical tensions have escalated following U.S. military actions in Venezuela, which may impact the non-ferrous metals market due to increased security risks [11] Group 4: North Exchange Market Insights - The North Exchange market is expected to see a spring rally, supported by high-quality expansion and liquidity improvements, despite short-term profit-taking pressures [14][16] - Recent policy initiatives, including the digital transformation plan for the automotive industry, are anticipated to provide opportunities for high-end manufacturing enterprises in the North Exchange [16] - The North Exchange's valuation remains attractive compared to the Sci-Tech Innovation Board, suggesting a favorable investment environment for institutional investors [16]

随着燧原科技完成IPO辅导，其背后潜伏的上市公司引发投资者关注。 证监会官网近日披露，上海燧原科技股份有限公司已完成IPO辅导工作，即将申报科创板上市。这家被 称为"国产GPU四小龙"之一的人工智能芯片企业正迎来其发展历程中的关键节点。而燧原科技背后的上 市公司到底有哪些？能否因此实现价值重估呢？ 燧原科技获"券商一哥"加持 AI芯片公司IPO或催化背后股东重估 高盛报告指出，参考同类公司估值，百度所持昆仑芯59%股权的价值区间为30亿美元至110亿美元。这 一估值现象为同类AI芯片公司的资本化提供了参考基准。 AI芯片公司上市潮下频现资本赢家 上市公司"燧原"机遇值得期待 燧原科技专注于人工智能领域云端算力产品，致力于为通用人工智能打造算力底座。该公司已开发四代 AI芯片，产品线覆盖训练和推理两大场景。 燧原科技成立于2018年3月，由赵立东和张亚林共同创立。两位创始人均拥有丰富的AMD工作经历，在 芯片领域积累了深厚经验。赵立东曾服务于AMD并担任紫光集团副总裁，张亚林则曾是AMD上海研发 中心的核心技术负责人。 2025年世界人工智能大会上，燧原科技发布最新一代训推一体产品"燧原L600"，支持FP8低 ...