人民财讯1月8日电，广州市人民政府办公厅印发《广州市加快建设先进制造业强市规划(2024—2035 年)》。其中提出，加快研发具有自主知识产权的操作系统、数据库、中间件、办公软件等通用基础软 件，提高产品兼容性，加快构建新型自主产业生态。聚焦CAD/CAM/CAE等工业通用工具软件、EDA技 术研发与应用、工业软件共性支撑技术、重大工程与特色行业软件等方面，推动建立新的工业软件标 准，掌握自主知识产权，取得若干标志性成果，统筹推进自主创新工业操作系统、中间件、工业APP、 新型数据库管理系统的全面应用。开展工业APP开发与应用创新，推动优秀工业APP及应用解决方案在 行业内的推广应用。布局下一代云计算软件体系，提升云安全水平和智能云服务能力，支持高性能采 集、高容量存储、海量信息处理、人工智能算法、工具群、区块链等技术创新。加快发展新型机器学 习、虚拟现实、元宇宙相关新兴平台软件。 ...

专题：中国财富管理50人论坛2025年会 1月4日金融一线消息，中国财富管理50人论坛2025年会近日在京召开，本届年会的主题是"迈向'十五 五'建设金融强国"。在"AI时代金融行业基础设施建设"圆桌论坛上，中国人民银行参事、清华五道口金 融学院教授张健华分析了AI时代金融基础设施的三个层次：一是传统的金融基础设施，如支付清算、 交易场所等；二是AI自身通用的基础设施，如大模型、算力、数据库等；三是AI时代的金融基础设 施，包括AI赋能传统金融设施，以及为金融行业所用的通用AI基础设施。 目前，金融领域的AI应用仍以"赋能"为主，尚未出现重塑现有金融功能的颠覆性基础设施。关于应对AI 应用风险的建议包括：需防范模型幻觉、算法黑箱、算法共振及数据质量问题；应密切跟踪技术进步， 提升科技监管能力，以应对AI可能加剧的风险传染和系统性风险，在发挥AI积极作用的同时，防控其 负面效应。 责任编辑：王进和 专题：中国财富管理50人论坛2025年会 1月4日金融一线消息，中国财富管理50人论坛2025年会近日在京召开，本届年会的主题是"迈向'十五 五'建设金融强国"。在"AI时代金融行业基础设施建设"圆桌论坛上，中国人民 ...

格隆汇12月16日｜据华为消息，近日，中国建设银行股份有限公司与华为技术有限公司在深圳华为总部 签署科技战略合作协议。根据协议，双方将在人工智能、云计算、数据库、大数据、ICT基础设施和人 才培养等领域展开战略合作。双方将共同推进人工智能与金融业务的融合，助力金融服务提质增效；加 强云计算、数据库、大数据等基础软件合作，加速数据要素价值释放；深化网络、计算、存储等ICT基 础设施合作，筑牢可信的数字底座；开展人才培养合作，打造高水平数智化人才队伍。双方表示，此次 战略合作协议的签署，将进一步拓展双方合作的深度与广度，促进金融与科技的深度融合，实现优势互 补、共赢发展。 ...

2025.12. 13 本文字数：1633，阅读时长大约2分钟 作者 | 第一财经 樊志菁 随着本周甲骨文和博通业绩发布，市场对于人工智能成长性的质疑重现，估值风险带来的波动引发了 新一轮板块轮动，投资者将部分资金转向小盘股与价值股。与此同时，在周末效应作用下，谨慎的市 场情绪带来了新一轮全面抛售。 AI板块持续承压 甲骨文周三公布疲软的季度营收、高企的资本支出以及长期租赁承诺后，两个交易日累计下跌近 16%。 这也拖累了英伟达、美光科技等一众人工智能相关企业的股价。 此前，市场对该公司的长期发展状况已存在广泛疑虑，投资者对依靠举债推进人工智能基础设施建设 的模式持谨慎态度。与此同时，整个行业内普遍存在的循环交易行为也引发了市场关注。受此影响， 甲骨文的信用违约互换（CDS）利差已升至2009年以来最高水平。 晨星公司认为，近期投资者对人工智能潜力以及图形处理器（GPU）循环交易的审视，可能对甲骨 文这类核心人工智能供应商造成了过重打击。甲骨文仍是一家颇具实力的云服务提供商，其数据库、 应用程序及基础设施产品线具备很高的用户转换成本。 博通周五同样重挫逾10%。 这家芯片制造商的营收与利润虽超出华尔街预期，但 ...

进一步统计，近3个月内该股累计发生10笔大宗交易，合计成交金额为3.94亿元。 证券时报•数据宝统计显示，达梦数据今日收盘价为270.00元，上涨4.92%，日换手率为4.57%，成交额 为8.80亿元，全天主力资金净流出1541.59万元，近5日该股累计上涨6.27%，近5日资金合计净流出1.04 亿元。 （原标题：达梦数据大宗交易成交0.95万股 成交额256.50万元） 达梦数据12月12日大宗交易平台出现一笔成交，成交量0.95万股，成交金额256.50万元，大宗交易成交 价为270.00元。该笔交易的买方营业部为机构专用，卖方营业部为瑞银证券有限责任公司上海花园石桥 路证券营业部。 12月12日达梦数据大宗交易一览 | 成交量 | 成交金 | 成交价 | 相对当日 | | | | --- | --- | --- | --- | --- | --- | | （万 | 额 | 格 | 收盘折溢 | 买方营业 | 卖方营业部 | | 股） | （万 | （元） | 价 | 部 | | | | 元） | | （%） | | | | 0.95 | 256.50 | 270.00 | 0.00 | 机构专用 | ...

Core Viewpoint - Oracle's stock price fell nearly 12% after reporting revenue below expectations and announcing an increase in data center spending by $15 billion to meet AI-related demand, reflecting market caution regarding high investments and short-term returns [1] Financial Performance - Oracle reported quarterly revenue of $16.1 billion, a 14% year-over-year increase, but below analyst expectations [1] - The company achieved a net profit of $6.1 billion, boosted by a $2.7 billion pre-tax gain from selling semiconductor company Ampere to SoftBank [1] - Oracle raised its capital expenditure forecast for the fiscal year by over 40% to $50 billion, with quarterly spending reaching $12 billion, significantly above the market expectation of $8.4 billion [1] Debt and Financial Strategy - Oracle's long-term debt increased to $99.9 billion, a 25% year-over-year rise [1] - The company is increasingly relying on debt for expansion, with Morgan Stanley projecting net debt could rise to approximately $290 billion by 2028 [3] - Oracle issued $18 billion in bonds in September and is negotiating to raise an additional $38 billion in debt financing [3] AI and Cloud Strategy - Oracle is competing with larger cloud giants like Google, Amazon, and Microsoft to provide large-scale computing power for AI companies such as OpenAI and Anthropic [1] - The company added 400 megawatts of data center capacity in the last quarter, with ongoing construction for large data center clusters for OpenAI proceeding smoothly [2][3] - Oracle's cloud infrastructure business generated $4.1 billion in revenue last quarter, which was below expectations, raising concerns about the company's reliance on a few large clients like OpenAI [2][3] Management Insights - Co-CEO Clay Magouyrk stated that even if OpenAI does not fully utilize the contracted computing power, there is sufficient demand from other clients to fill the gap [3] - CFO Doug Kehring mentioned that the company is leasing data center capacity to reduce direct borrowing, with a 15-year lease signed for the Abilene project, allowing Oracle to defer payments until the centers are completed [4]

Group 1: Overview of the Computer Sector - The computer sector is experiencing a recovery in fund allocation, with a 4.46% holding ratio in Q3 2025, an increase of 1.93 percentage points from Q2 2025 and 2.24 percentage points year-on-year from Q3 2024 [7][12] - The computer sector's market capitalization accounts for 5.27% of the total A-share market, indicating a low allocation that presents upward potential [7][12] - The computer index has risen by 27.62% as of December 1, 2025, outperforming the CSI 300 index by 11.32 percentage points [12] Group 2: Domestic Substitution Trends - The domestic substitution trend is clear, with significant replacement opportunities in the computer industry, particularly in EDA, electronic measurement instruments, and cybersecurity [3][21] - The EDA market is projected to reach $14.5 billion by 2025, with domestic firms increasing their competitiveness through self-developed and acquired technologies [26][31] - The electronic measurement instrument market is expected to grow rapidly, driven by technological advancements and increased R&D investments [63][75] Group 3: Artificial Intelligence Applications - The AI sector is expanding across various industries, with demand for GPU, servers, IDC, power supplies, and liquid cooling systems driving growth [3][21] - The domestic and international AI model iterations are ongoing, with a focus on world models and physical AI as future trends [3][21] - End-side AI applications, including smart glasses, robotics, and intelligent driving, are emerging as key areas for implementation [3][21] Group 4: Future Industries and Innovations - Quantum technology is anticipated to bring disruptive innovations in computing, communication, and measurement, creating new opportunities [3][21] - The satellite internet sector is accelerating constellation construction, with potential releases in measurement and simulation demands [3][21] - The integration of technology and finance is expected to yield significant dividends through innovative disruptions [3][21] Group 5: Investment Recommendations - Recommended investment targets in the EDA sector include Huada Jiutian, GY Electronics, and Broadcom [53][90] - In the CAD sector, focus on Zhongwang Software and Haocen Software [53][90] - For CAE, consider Zhongwang Software and Holley Technology [53][90]

Investment Rating - The report maintains an "Overweight" rating for the computer industry [1] Core Insights - The emergence of AI inference necessitates a new storage architecture centered around GPU directly connected to SSD, which will replace the CPU-dominated era [9][14] - The shift from CPU-centric to GPU-centric architecture will drive significant changes in database software design, optimizing for GPU's data processing capabilities [18][19] - The industry is witnessing accelerated advancements in both hardware and software, with notable collaborations and innovations aimed at enhancing performance for AI workloads [22][24] Summary by Sections AI Inference Era and New Storage Architecture - AI inference requires different I/O demands compared to training, with a focus on small data blocks and high concurrency, leading to the need for a new storage architecture [9][10] - The traditional CPU-centric data loading architecture is becoming a bottleneck for AI workloads, necessitating a shift to GPU as the primary controller for data access [11][14] Changes in Database Architecture - The transition to GPU-centric architecture will require a complete redesign of database software, with GPU taking on the role of the main computing unit [18][19] - Key components such as storage engines and query execution engines will need to be restructured to optimize for GPU capabilities and direct SSD connections [19][21] Industry Progress - Hardware advancements include the development of High Bandwidth Flash (HBF) technology, which is expected to play a crucial role in the future of AI storage solutions [22] - Collaborations between companies like SanDisk and SK Hynix aim to standardize HBF technology, with initial products expected by 2027 [22] - Software improvements are being made to enhance data orchestration and performance, such as Hammerspace's advancements in metadata reading and Cloudian HyperStore's object storage capabilities [24] Investment Recommendations - The report suggests that as AI inference grows, the importance of GPU will increase, leading to new opportunities in the database industry as software architectures adapt to these changes [25][26]

（文章来源：证券日报） 证券日报网讯 12月2日，广电运通在互动平台回答投资者提问时表示，二级市场股价通常受多重复杂因 素影响，公司始终以提升经营业绩和内在价值为核心，并通过持续分红等方式积极回报股东信任。子公 司运通信息在广州市数字政府一朵云项目上与阿里云开展数据库、商业智能分析工具等方面合作。 ...

Core Viewpoint - The company emphasizes its commitment to enhancing operational performance and intrinsic value while actively rewarding shareholders through continuous dividends [1] Group 1 - The company's stock price in the secondary market is influenced by multiple complex factors [1] - The subsidiary, Yuntong Information, collaborates with Alibaba Cloud on the Guangzhou Digital Government "One Cloud" project, focusing on database and business intelligence analysis tools [1]