Group 1 - The provincial government emphasizes the integration of artificial intelligence with healthcare to meet the growing health service demands of the public [1] - The healthcare insurance information system is highlighted for its vast data capacity, which enhances service efficiency and ensures the safety of insurance funds [1] - The government aims to strengthen insurance fund supervision using AI technology to create a closed-loop system for risk prevention and control [1] Group 2 - The focus is on exploring AI-assisted medical classification standards and accelerating the development of intelligent systems for innovative applications [2] - Collaboration among industry, academia, and healthcare is encouraged to enhance the integration of AI with medical practices and improve the AI literacy of healthcare professionals [2] - The provincial government supports the growth of companies specializing in medical AI technologies, aiming to establish a stronghold for AI industry development in the region [2]

Group 1 - The core viewpoint of the article emphasizes the implementation of a high-quality development plan for digital finance in the banking and insurance sectors, focusing on advancing digital infrastructure [1] Group 2 - The plan encourages large financial institutions to progressively layout and accelerate the construction of multi-level, multi-location data centers that are suitable for online business, massive data storage, and distributed computing [1] - It highlights the importance of forward-looking deployment of intelligent computing network facilities, prioritizing the establishment of these at national hub nodes in the "East Data West Computing" project [1] - The initiative promotes the construction of green data centers and aims to continuously increase the proportion of green electricity usage [1] - It advocates for cloud-based management of infrastructure and the utilization of new-generation mobile communication technologies and the Internet of Things to establish secure external connections [1] - The plan aims to build a new generation of operational maintenance systems that adapt to distributed architecture and digital transformation, while also improving the management mechanisms for infrastructure security applications [1]

Core Insights - The article emphasizes the critical role of mechanical hard drives (HDD) in the era of AI, highlighting their importance in data storage despite the rise of solid-state drives (SSD) [1][7] - Toshiba's unique approach in establishing a nearline HDD production line in China is noted as a significant strategy to meet the growing demand for large-capacity storage solutions [2][17] - The collaboration between Toshiba and SAE (New Science Electronics) is highlighted as a key factor in enhancing manufacturing efficiency and responsiveness to market needs [3][12] Group 1: Industry Trends - The demand for low-cost, high-reliability storage solutions is experiencing exponential growth in China due to the expansion of cloud computing and AI industries [1] - HDDs are still the mainstream storage product in enterprise scenarios due to their cost advantages and durability, especially in handling large-scale data [7] - The introduction of new technologies, such as the 12-disk stacking technology, aims to significantly increase HDD capacities, with plans for 40TB+ drives in the future [8][21] Group 2: Company Strategies - Toshiba's strategy focuses on leveraging local manufacturing advantages in China to better serve domestic customers, enhancing supply chain efficiency [17][18] - The partnership with SAE allows for a unique "door-to-door" collaboration, facilitating rapid response to market demands and integrating core component production with HDD assembly [3][12] - Toshiba aims to maintain its core value in supporting big data and AI development by continuing to invest in large-capacity technology and reducing total cost of ownership (TCO) for users [7][20] Group 3: Future Outlook - By 2025, Toshiba anticipates significant growth in the Chinese storage market, with a focus on synchronizing and interacting closely with customers to meet their evolving needs [23] - The company plans to introduce HDDs with capacities exceeding 30TB and potentially reaching 50TB based on new recording technologies [21][23] - SAE is positioned to play a crucial role in Toshiba's global production strategy, supporting local data center customers and enhancing overall market share [24]

证券代码：603138 证券简称：海量数据 公告编号：2025-074 公司于 2025 年 10 月 24 日以部分闲置募集资金向中国光大银行股份有限公 司购买银行结构性存款。该笔理财产品已到期，公司如期赎回本金人民币 8,800 万元，获得理财收益合计人民币 230,755.56 元，具体赎回情况如下： 北京海量数据技术股份有限公司 使用部分闲置募集资金进行现金管理到期赎回的公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性承担法律责任。 北京海量数据技术股份有限公司（以下简称"公司"）于 2024 年 4 月 17 日 召开第四届董事会第八次会议审议通过了《使用部分闲置募集资金进行现金管理 的议案》。同意公司使用额度不超过人民币 24,000 万元的闲置募集资金购买安全 性高、流动性好、具有合法经营资格的金融机构销售的大额存单、结构性存款等 保本型产品，在上述额度范围内资金可滚动使用，使用期限自董事会审议通过之 日起十二个月内有效。 公司又于 2025 年 4 月 16 日召开第四届董事会第十二次会议审议通过了《使 用部分闲置募集资 ...

Core Viewpoint - The company, Beijing Haoliang Data Technology Co., Ltd. (603138.SH), announced a share reduction plan by a senior executive due to personal financial needs, which has been completed as of December 18, 2025 [1] Group 1 - The executive, Mr. Qu Huqiang, plans to reduce his holdings by a maximum of 25,000 shares, representing approximately 0.0085% of the company's total shares [1] - The reduction will be executed through centralized bidding, with the selling price determined by the market price at the time of the sale [1] - As of December 18, 2025, the share reduction plan has been fully implemented [1]

减持计划的实施结果情况 公司于 2025 年 11 月 6 日披露了《北京海量数据技术股份有限公司董事、高 级管理人员减持股份计划公告》（公告编号：2025-071），屈惠强先生因个人资 金需求，拟通过集中竞价方式减持其所持有的公司股份合计不超过 25,000 股， 约占公司股份总数的 0.0085%，占其直接持有股份总数的 25%，减持价格根据减 持时的市场价格确定。截至 2025 年 12 月 18 日，屈惠强先生本次减持计划已实 施完毕。 证券代码：603138 证券简称：海量数据 公告编号：2025-073 北京海量数据技术股份有限公司 董事、高级管理人员集中竞价减持股份结果公告 本公司董事会、全体董事及相关股东保证本公告内容不存在任何虚假记载、 误导性陈述或者重大遗漏，并对其内容的真实性、准确性和完整性承担法律责任。 重要内容提示： 董事、高级管理人员持股的基本情况 本次股份减持计划实施前，北京海量数据技术股份有限公司（以下简称"公 司"）董事、高级管理人员屈惠强先生持有公司股份 100,000 股，占公司当前总 股本的 0.0340%；本次减持计划实施完成后，截至本次公告披露日，屈惠强先生 持有公 ...

Summary of Key Points Core Viewpoint - The company announced that its director and senior executive, Qu Huiqiang, reduced his shareholding due to personal financial needs, selling a total of 25,000 shares, which represents 0.0085% of the company's total equity [1] Group 1 - The shares were sold through a centralized bidding process at a price range of 14.05 to 15.32 yuan per share [1] - The total amount raised from the share reduction was 361,600 yuan [1] - After the reduction, Qu Huiqiang holds 75,000 shares, accounting for 0.0255% of the company's current total equity [1]

Core Insights - BYD's sales data for November shows a total of 311,267 vehicles sold, maintaining its market leadership, with significant contributions from the Dynasty and Ocean series [1] - Cumulative sales of BYD vehicles equipped with the "Tianshen Eye" driving assistance system have surpassed 2.3 million units by the end of November 2025, reinforcing its position in the Chinese market [2][3] - The "Tianshen Eye" system is part of BYD's strategy to promote intelligent driving, transitioning from high-end features to mainstream market adoption [3] Sales Performance - In November, the Dynasty and Ocean series accounted for 265,734 units sold, while other high-end brands like Fangchengbao, Tengshi, and Yangwang also showed robust performance [1] - The sales figures indicate a strong product matrix in the intelligent driving sector, solidifying BYD's competitive edge [1] Technological Advancements - The "Tianshen Eye" system generates over 150 million kilometers of driving assistance data daily, providing a substantial data foundation for continuous AI model training and rapid iteration [4] - BYD has committed to comprehensive safety guarantees for users of the "Tianshen Eye" system, showcasing confidence in its technology and a strong commitment to user safety [5] Market Impact - The positive market feedback and reliability of the "Tianshen Eye" system have led to increased consumer trust, becoming a key factor in the sales success of BYD's mid-to-high-end models [5] - The shift in consumer perception indicates that intelligent driving features are evolving from being mere highlights to becoming core considerations in vehicle purchasing decisions [5]

公司又于 2025 年 4 月 16 日召开第四届董事会第十二次会议审议通过了《使 用部分闲置募集资金进行现金管理的议案》。同意公司使用额度不超过人民币 15,000 万元的闲置募集资金购买安全性高、流动性好、具有合法经营资格的金 融机构销售的大额存单、结构性存款等保本型产品，在上述额度范围内资金可滚 动使用，使用期限自董事会审议通过之日起十二个月内有效。 具体内容详见公司于 2024 年 4 月 19 日在指定信息披露媒体披露的《公司关 于使用部分闲置募集资金进行现金管理的公告》（公告编号：2024-019）及于 2025 年 4 月 18 日在指定信息披露媒体披露的《公司关于使用部分闲置募集资金进行 现金管理的公告》（公告编号：2025-016）。 一、本次募集资金现金管理到期赎回情况 公司于 2025 年 11 月 17 日以部分闲置募集资金向中信银行股份有限公司购 买银行结构性存款。该笔理财产品已到期，公司如期赎回本金人民币 2,100 万元， 获得理财收益合计人民币 25,027.40 元，具体赎回情况如下： 证券代码：603138 证券简称：海量数据 公告编号：2025-072 北京海量数据技术股 ...

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]