证券日报网讯 12月25日，中科曙光在互动平台回答投资者提问时表示，目前公司经营正常。股价波动 受多重因素影响，公司将根据市场情况和公司实际情况，采取有效措施维护市值，保护广大投资者的利 益。 （文章来源：证券日报） ...

证券日报网讯12月25日，中科曙光（603019）在互动平台回答投资者提问时表示，公司持续开发基于国 产处理器的高端计算机及关键部件，不断提升自研产品比例及核心部件自研能力。 ...

证券日报网讯12月25日，中科曙光（603019）在互动平台回答投资者提问时表示，截至12月19日，公司 股东总户数为355287户。 ...

Core Viewpoint - The first HAIC2025 conference highlighted the challenges and innovations in AI computing architecture, emphasizing the need for collaboration and system-level solutions to meet the demands of large model training [2][4][13]. Group 1: AI Computing Challenges - The rapid evolution of large model technology has created unprecedented demands on computing equipment, particularly in memory capacity, bandwidth, energy efficiency, and system stability [2]. - The slowdown of Moore's Law has made it increasingly difficult for single-node solutions to meet the computational needs of AI, necessitating a shift towards system-level engineering [4][11]. - Companies are focusing on creating tightly integrated systems that can handle the complexities of AI applications, including the need for high-speed data transfer and energy efficiency [8][12]. Group 2: Innovations and Strategies - The introduction of the "Dual-Core Strategy" by Haiguang aims to enhance AI product diversity and deepen ecosystem connections within China, focusing on customized and application-specific solutions [5][6]. - The launch of the scaleX640 super node, which features advanced cooling and power supply technologies, represents a significant advancement in AI computing infrastructure, achieving a power usage effectiveness (PUE) of 1.04 [11][12]. - The scaleX super cluster, capable of deploying over 10,240 AI accelerator cards, showcases a total computing power exceeding 5 EFlops, marking a milestone in domestic AI cluster systems [11][12]. Group 3: Future Directions - The collaboration between Haiguang and Zhongke Shuguang aims to build a robust AI ecosystem by sharing technology and creating open standards for AI software stacks, which could lead to a "Chinese version of CUDA" [13][14]. - The focus on developing high-performance, reliable networks and systems is crucial for supporting the growing demands of AI applications and ensuring long-term operational reliability [13][14]. - The ongoing efforts in the AI sector reflect a commitment to overcoming international competition and establishing a prominent position for China's AI capabilities on the global stage [14].

Core Viewpoint - The article discusses the challenges and strategies related to exit opportunities in the investment landscape, particularly focusing on private equity and venture capital exits in China, highlighting the need for adaptive strategies in a changing economic environment [2][10]. Group 1: Exit Challenges and Strategies - The current economic downturn has created significant challenges for exits, with many funds facing systemic exit difficulties, particularly for projects invested in 2014, where 70% have yet to exit [10][11]. - The exit environment has changed drastically compared to previous years, necessitating proactive management and strategic planning for exits rather than a passive approach [8][10]. - The need for organizational restructuring within investment firms has been emphasized to better manage the complexities of the current exit landscape [8][9]. Group 2: Investment Focus and Performance - Various investment firms have reported their focus areas, with East Capital managing 63 funds totaling 390 billion yuan, and Puhua Group focusing on early-stage investments in healthcare, new energy, and hard technology [3][4]. - Tianchuang Capital has successfully listed 25 portfolio companies and maintains an annual investment of 300-400 million yuan, focusing on hard technology sectors [5][6]. - The performance of exits varies, with some firms achieving notable success while others struggle, indicating a mixed landscape of exit opportunities [7][10]. Group 3: Regulatory and Market Support - Recent regulatory changes, such as the updated merger loan management measures, are expected to enhance support for mergers and acquisitions, with increased leverage ratios and more flexible financing options [12][13]. - The bond market is also seen as a potential source of lower-cost funding for mergers, with current interest rates being favorable compared to traditional loans [13]. - The overall sentiment is cautiously optimistic regarding the future of exits, with expectations of a more favorable market environment in 2026, particularly for IPOs and mergers [23][24]. Group 4: Future Outlook and Recommendations - The article suggests that investment firms should establish closer collaborations with listed companies to better align acquisition targets and exit strategies [16][17]. - There is a call for clearer investment strategies, focusing on companies with high growth potential and stable cash flows, to facilitate smoother exits [17][18]. - The importance of continuous communication with founders and portfolio companies is highlighted to ensure accurate assessments of business performance and exit timing [27][28].

Market Performance - On December 25, the three major A-share indices collectively rose, with the Shanghai Composite Index increasing by 0.47% to 3959.62 points, the Shenzhen Component Index rising by 0.33% to 13531.41 points, and the ChiNext Index up by 0.3% to 3239.34 points [1] Fund Manager Changes - On December 25, 24 fund managers experienced changes in their positions, with 675 fund products having manager changes in the past 30 days [3] - The reasons for the changes included 4 managers leaving due to job changes, 1 due to personal reasons, and 3 due to product expiration [3] - Wang Liang from Minsheng Jianyin Fund managed assets totaling 3.205 billion yuan, with the highest return product being Minsheng Jianyin Prosperity Industry Mixed A, achieving an 86.63% return over 7 years and 56 days [3] New Fund Managers - On December 25, 29 fund products announced new fund managers, involving 16 managers [4] - Yang Zhenshao from E Fund currently manages assets of 9.842 billion yuan, with the highest return product being E Fund Medical Care Industry Mixed A, which achieved a 199.09% return over 9 years and 129 days [4] Fund Research Activity - In the past month (November 25 to December 25), Bosera Fund conducted the most company research, engaging with 39 listed companies, followed by Huaxia Fund, Southern Fund, and Huitianfu Fund with 38, 37, and 34 companies respectively [6] - The most researched industry was specialized equipment with 178 instances, followed by chemical products with 130 instances [6] Recent Company Focus - In the last month, the most focused company by public funds was Zhongke Shuguang, with 117 fund management companies participating in its research [6] - In the past week (December 18 to December 25), Lingyi Zhi Zao was the most researched company, receiving attention from 40 fund institutions [7]

（原标题：万亿并购市场奏响"冰与火之歌"） 一半海水，一半火焰。 2025年行至尾声，如行业所料，在"并购六条"等政策暖风之下，2025年的A股并购市场迎来了久违繁 荣。 Wind数据显示，今年以来，截至12月23日，A股市场更新的并购重组事件达到6074单(含涉及多家上市 公司的同一重组事件重复统计，下同)。其中，重大重组数量达到279单，比去年全年增长接近两倍，已 披露的交易总金额高达1.87万亿元，较去年全年增长超过十倍。 然而，繁荣之下，暗流汹涌。今年更新的重大交易中，有四分之一以失败收场，其中不乏大市值科技公 司发起的产业并购、同一控制权下的交易等。 "乘兴而来，败兴而归"，不仅是大多数并购从业者的内心写照，亦是部分二级市场投资者挥之不去的阴 影。 年中终止的华大九天定增收购芯和半导体、年末终止的海光信息吸收合并中科曙光……从筹划到终止引 发的股价波动，在资本市场引发了不小的争议。年初终止的海尔生物吸收合并上海莱士，虽然因筹划时 间短没有引起股价波动，但复牌后海尔生物股价也出现大跌。 "重大资产重组由于涉及众多环节，本来失败的概率就比较高。而今年市场氛围比较火热，很多企业不 管是从提升质量的角度，还 ...

Core Viewpoint - The A-share merger and acquisition (M&A) market has seen a significant revival in 2025, with a total of 6,074 M&A events reported, including 279 major restructurings, marking a nearly twofold increase from the previous year. The total disclosed transaction amount reached 1.87 trillion yuan, over ten times higher than last year. However, one-quarter of these major transactions ended in failure, highlighting underlying challenges in the market [1][3][12]. Group 1: Market Performance - The number of major restructuring events in the A-share market has increased significantly, with 279 major restructurings reported this year, compared to 72 last year [1][3]. - The total disclosed transaction amount for M&A activities reached 1.87 trillion yuan, reflecting a growth of over ten times compared to the previous year [1][3]. - The approval rate for M&A applications in the Shanghai, Shenzhen, and Beijing stock exchanges reached 100%, with 39 companies' applications reviewed this year, a 160% increase from last year [3][12]. Group 2: Reasons for Failure - A total of 72 major restructurings failed this year, primarily due to market factors such as changes in market conditions, disagreements on valuation, and inconsistent interests among minority shareholders [3][12]. - The semiconductor and biopharmaceutical sectors experienced higher failure rates, with 12 and 8 failed restructurings, respectively, attributed to significant valuation discrepancies and the nature of their business models [4][5][12]. - Notable failed transactions included the merger between Haier Biomedical and Shanghai Laister, which was terminated after only 15 days of planning, indicating a trend of rapid failures in the current market [6][15]. Group 3: Market Dynamics - The current market environment has led to impulsive M&A decisions, with companies eager to initiate transactions without thorough negotiations, resulting in many deals being called off [2][11]. - The introduction of new IPO policies has influenced companies' attitudes towards M&A, with many firms reassessing their strategies in light of the evolving regulatory landscape [5][14]. - The phenomenon of "flash crash" terminations has become more common, with 18 failed restructurings occurring within 100 days of announcement, indicating a lack of adequate negotiation time [6][15]. Group 4: Investor Behavior - Investors are advised to be cautious of "hype-driven" restructurings, focusing on whether the M&A aligns with the company's long-term strategy and whether there is substantial synergy [8][17]. - The speculative nature of some M&A announcements has led to significant stock price fluctuations, with examples of companies experiencing over 400% price increases before ultimately failing to complete their transactions [7][17]. - The market's reaction to M&A announcements has been volatile, with many investors engaging in irrational speculation, particularly in sectors like semiconductors and renewable energy [7][16].

今日各行业资金流向 | 行业 | 日涨跌幅（%） | 资金流向（亿元） | 行业 | 日涨跌幅（%） | 资金流向（亿元） | | --- | --- | --- | --- | --- | --- | | 电子 | 2.12 | 86.77 | 美容护理 | 0.77 | 0.13 | | 电力设备 | 1.03 | 37.58 | 纺织服饰 | 0.75 | -0.32 | | 国防军工 | 2.88 | 36.86 | 家用电器 | 0.06 | -0.50 | | 建筑材料 | 1.72 | 9.16 | 煤炭 | -0.70 | -0.74 | | 机械设备 | 1.49 | 7.03 | 石油石化 | 0.65 | -1.41 | | 轻工制造 | 1.69 | 6.71 | 农林牧渔 | -0.85 | -4.65 | | 计算机 | 1.36 | 2.96 | 传媒 | 0.00 | -5.74 | | 通信 | 1.12 | 2.59 | 非银金融 | 0.30 | -7.15 | | 社会服务 | 0.78 | 2.56 | 交通运输 | 0.13 | -7.16 | | 公用事业 | 0 ...

Core Viewpoint - The Chinese computing power industry is at a strategic crossroads, deciding between continuing a closed technology stack approach or pioneering a new competitive model based on open collaboration [1][3]. Industry Challenges - The current domestic AI computing power industry faces a dilemma of "full-chain internal competition" and "dual barriers," leading to significant industry anxiety. Companies have invested heavily in creating isolated "technology islands," resulting in fragmentation and high adaptation costs for users [4][5]. - The performance gap and ecological barriers present deeper challenges, with domestic chips lagging behind international standards and NVIDIA's CUDA ecosystem creating a strong lock-in effect [4]. Strategic Shift - The solution lies in transitioning from a "closed full-stack" to an "open layered" competitive logic, emphasizing collaboration among various manufacturers to create an industry platform that can systematically challenge dominant players [6][8]. - The establishment of the Photonic Organization serves as a platform to balance competition and cooperation, allowing companies to focus on their strengths while sharing results for mutual benefit [6][8]. Implementation of Open Architecture - Leading IT companies in China are moving away from a "large and comprehensive" model to a "focused and strong + ecological empowerment" approach, concentrating resources on their core competencies while opening other areas to ecosystem partners [8]. - The scaleX super cluster exemplifies this open architecture, achieving significant breakthroughs in system architecture and energy efficiency, with a 20-fold increase in computing density and a PUE of 1.04 [9]. Market Engagement - The open architecture aims to lower the barriers for users transitioning from closed ecosystems, enhancing cost efficiency and optimization for clients, particularly benefiting small AI chip design and software companies [9][10]. - The shift from standardized supply to joint customization is crucial for domestic computing power systems to penetrate mainstream commercial markets [10]. Future Outlook - The competition in the AI computing power industry is evolving into a battle between centralized control models and distributed innovation models based on open standards [14]. - The open path chosen by the Chinese industry reflects a deep understanding of its structural and innovative characteristics, aiming to harness the full potential of its comprehensive electronic information manufacturing chain and vibrant small to medium enterprises [14].