Core Viewpoint - The rapid development of artificial intelligence large models is highlighted, with a focus on the importance of Token generated by computing power rather than direct computing operations [1] Company Strategy - The establishment of a new entity in Wuhan by Parallel Technology, focusing on MaaS (Model as a Service) and computing power operations, signifies a strategic shift from basic computing supply to application service layers [1] - The new company will primarily offer Token output and computing power operations, aiming to assist users in efficiently and cost-effectively accessing large model capabilities [1]

证券代码：920493 证券简称：并行科技 公告编号：2025-141 北京并行科技股份有限公司 合计持股 5%以上股东权益变动触及 1%整数倍的提示性公告 本公司及董事会全体成员保证公告内容的真实、准确和完整，没有虚假记 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个 别及连带法律责任。 清控银杏南通创业投资基金合伙企业（有限合伙）（以下简称"清控银杏南 通基金"）、吕大龙先生、西藏龙芯投资有限公司（以下简称"西藏龙芯"）、银 杏华清投资基金管理（北京）有限公司（以下简称"银杏华清"）互为一致行动 人，本次股份减持前，上述一致行动人合计拥有权益的股份占北京并行科技股 份有限公司（以下简称"公司"）已发行股份的比例为 16.8409%。 公司于 2025 年 12 月 16 日收到股东清控银杏南通基金、银杏华清出具的 《关于股份减持进展告知函》，清控银杏南通基金于 2025 年 12 月 11 日至 2025 年 12 月 12 日通过集中竞价减持公司股份合计 274,250 股；银杏华清于 2025 年 12 月 11 日至 2025 年 12 月 16 日通过集中竞价减持公司股份合计 ...

（文章来源：证券日报） 证券日报网讯 12月16日晚间，并行科技发布公告称，公司于 2025 年 12 月 15 日接到立信通知，因其工 作调整，公司 2025 年度财务报告及内部控制审计项目质量控制复核人由周兰更女士调整为郑飞先生。 ...

证券代码：920493 证券简称：并行科技 公告编号：2025-139 北京并行科技股份有限公司 关于审计机构变更质量控制复核人的公告 本公司及董事会全体成员保证公告内容的真实、准确和完整，没有虚假记 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个 别及连带法律责任。 北京并行科技股份有限公司（以下简称"公司"）于 2025 年 4 月 24 日召开第 三届董事会第五十一次会议、第三届董事会审计委员会第七次会议和第三届监事 会第三十三次会议，于 2025 年 5 月 27 日召开 2024 年年度股东会，审议通过《关 于续聘 2025 年度审计机构的议案》，同意公司续聘立信会计师事务所（特殊普通 合伙）（以下简称"立信"）为公司 2025 年度审计机构，开展 2025 年度审计工作。 具体内容详见公司分别于 2025 年 4 月 28 日、2025 年 5 月 27 日在北京证券交易 所官网（http://www.bse.cn/）披露的公告《拟续聘 2025 年度会计师事务所公告》 （公告编号：2025-042）、《2024 年年度股东会决议公告》（公告编号：2025-057）。 一、本 ...

北京并行科技股份有限公司 关于购买资产的进展公告 本公司及董事会全体成员保证公告内容的真实、准确和完整，没有虚假 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 担个别及连带法律责任。 一、购买资产基本情况 证券代码：920493 证券简称：并行科技 公告编号：2025-140 北京并行科技股份有限公司（以下简称"公司"）于 2025年 9月 22日召开 第三届董事会第五十四次临时会议，审议通过《关于公司拟签订 AI 算力服务器 及配套服务器主机设备采购合同的议案》，公司向绵存（浙江）科技有限公司、 浙江天极集成电路技术有限公司采购 AI 算力服务器及配套服务器主机设备采购， 并签署相关采购合同，采购合同总金额预计不超过人民币 11,338.98 万元。具体 内容详见公司于 2025 年 9 月 22 日在北京证券交易所官网（http://www.bse.cn/） 披露的公告《购买资产的公告》（公告编号：2025-112）。 二、购买资产进展情况 2025年12月15日，公司全资子公司青岛并行科技有限公司与绵存（浙江） 科技有限公司签署采购合同，向其采购服务器主机设备和 GPU 显卡，合同 ...

Core Viewpoint - The future of intelligent computing will be defined by those who can establish standards, models, and foundational systems, leading to true dominance in the next generation of intelligent competition [2][3]. Group 1: Conference Overview - The GAIR 2025 conference, focusing on "AI Computing in the New Decade," was held in Shenzhen, aiming to connect technological advancements with industrial practices [2]. - The afternoon forum centered on the theme "Who Will Define the Future of Intelligent Computing," shifting focus from breakthrough innovations to systematic construction and value closure [2][3]. Group 2: Key Presentations - Wang Zhi from Tsinghua University discussed the challenges of industrial large models, emphasizing the need for a new paradigm of "training and inference collaboration" to drive intelligent manufacturing [4][6]. - Liu Xiangyang, an IEEE Fellow, highlighted that a company's AI capabilities are fundamentally determined by its digital foundation, stressing the importance of a robust digital infrastructure [9][11]. - Zhao Hongbing from Beijing Parallel Technology emphasized the need for computing services to transform from mere resources to productive forces, advocating for a user-centric approach in computing service operations [14][16]. - Shi Tianhui from Qingcheng Jizhi pointed out the importance of software in unlocking the value of computing power, advocating for the growth of the MaaS (Model as a Service) market [19][20]. - Lü Haifeng from Dingxi Zhichuang proposed a "wet and dry combined" approach to tackle data bottlenecks in AI and new materials, emphasizing the integration of AI in material design and development [22][24]. Group 3: Industry Insights - The current computing market faces challenges such as low utilization rates of computing resources, with many intelligent computing centers averaging below 40% [28]. - The transition from "building first, using later" to a more efficient model prioritizing cost-effectiveness and user scenarios is underway in the computing industry [28][29]. - The MaaS model is seen as a key to achieving a value closure in computing, allowing users to access computing power at lower costs while suppliers optimize their technology to reduce expenses [29][30]. - The future of AI in China is expected to shift from training to inference by 2025, with a growing emphasis on the MaaS market and the integration of domestic chips and cooling technologies by 2026 [30].

Group 1 - The report highlights the release of GPT-5.2 by OpenAI on December 11, 2025, which has shown significant improvements in various professional tasks, including financial modeling and data analysis, achieving 70.9% performance at or above expert levels in GDPval testing [12][19] - The report identifies 26 AI-related companies listed on the Beijing Stock Exchange, with a total market capitalization of 94.933 billion yuan as of December 12, 2025, including notable companies such as Parallel Technology and Kaite Co., Ltd [19][20] - Parallel Technology (920493.BJ) is recognized as a leading provider of supercomputing cloud services, reporting a revenue increase of 69.25% and a net profit increase of 178.80% for Q1-Q3 2025 [21][24] Group 2 - The report indicates that five major industries on the Beijing Stock Exchange experienced average gains, with the high-end equipment sector seeing a median P/E ratio rise to 36.4X and the chemical new materials sector experiencing a median P/E ratio drop to 38.8X [3][29] - The technology new industry sector, comprising 154 companies, saw a median P/E ratio increase from 40.5X to 42.0X, with a total market capitalization growth from 454.282 billion to 469.819 billion yuan [4][48] - The report notes that the electronic industry sector's median P/E ratio rose to 48.6X, with significant stock price increases for companies such as Chicheng Co., Ltd and Caneng Electric [57][62] Group 3 - The report mentions that Kaite Co., Ltd (920978.BJ) has signed a strategic agreement with Guangzhou Haote to develop products related to the data center industry, achieving a revenue of 796 million yuan and a net profit of 130 million yuan for Q1-Q3 2025 [25][27] - The report outlines the average weekly performance of various sectors, with the chemical new materials sector showing a weekly increase of 4.29% and the medical and biological sector's median P/E ratio rising to 34.5X [3][40] - The report highlights the announcement of Audiwei's plan to invest approximately 54.8 million USD in a new factory in Malaysia, focusing on smart sensors and actuators [65]

Core Viewpoint - China is gaining a significant advantage in the global AI competition due to its vast electricity resources and lower energy costs, which are crucial for powering AI data centers and models [1][4][5]. Group 1: Electricity Supply and Demand - China has the world's largest power grid, with electricity generation growth from 2010 to 2024 exceeding that of all other regions combined [1]. - In 2022, China's electricity generation was more than double that of the United States, with some Chinese data centers paying less than half the electricity costs of their U.S. counterparts [1]. - By 2030, China is projected to invest approximately $560 billion in electricity grid projects, a 45% increase compared to the previous five years [2]. - Morgan Stanley predicts that U.S. data centers may face a power shortfall of 44 gigawatts in the next three years, equivalent to New York State's summer electricity demand [5]. Group 2: Renewable Energy Initiatives - Inner Mongolia is becoming a hub for renewable energy, with thousands of wind turbines and over 100 data centers either operational or under construction [1][11]. - China's "East Data West Computing" initiative aims to utilize the abundant electricity resources in the west to meet the AI demands of the densely populated east [5]. - The country has invested over $50 billion in expanding its electricity grid since 2021, focusing on renewable energy sources like wind, solar, and hydropower [6]. Group 3: Cost Competitiveness - Low electricity costs in China enable AI companies like DeepSeek to develop high-quality AI models at lower prices compared to U.S. competitors [4]. - Data centers in China can secure electricity at rates as low as $0.03 per kilowatt-hour, while U.S. markets often pay between $0.07 and $0.09 [8]. Group 4: Economic Impact - The GDP of Ulanqab in Inner Mongolia has grown by 50% over the past five years, with electricity consumption by data centers and IT services increasing more than sevenfold [13]. - Major tech companies, including Apple, Alibaba, and Huawei, have established data centers in Ulanqab, contributing to local economic growth [13]. Group 5: Challenges in the U.S. - The U.S. faces challenges in modernizing its electricity grid due to complex permitting processes and insufficient transmission capacity, which hinder its position as a global AI leader [8][9]. - Environmental concerns are rising, with over 230 environmental organizations calling for a nationwide pause on new data center constructions due to high energy consumption and water usage [9][10].

" 顶级AI产、学、研融合大会来到第八年，现场将会碰撞出怎样的 火花？ " 作者丨 徐晓飞 编辑丨 包永刚 2025年，是大模型从"技术破壁"迈入"价值深耕"的关键之年。这一年里，技术与产业纷繁变革，同频共 振，加速融合。那些对未来的颠覆，正在AI革命的黎明微光中酝酿、翻涌，向人们徐徐打开一个新世界。 在这时代的晨曦中，如何拨开迷雾，窥见先机，奋勇入局，拥抱这场庞大、多元、复杂的智能浪潮，正在 成为每一位行业先行者的叩问。 而始于2016年的"全球人工智能与机器人大会"（GAIR），在过往九年的时间里，数次站在了AI变革的潮 头浪尖，以前瞻性视野，精准而深刻地把握住了AI科技的时代脉搏，为产学研投各界搭建起了前沿交流的 核心桥梁。 作为人工智能领域的风向标，历届GAIR大会邀请了多位图灵奖、诺贝尔奖得主、50位院士、30位人工智 能国际顶会主席、100多位 Fellow，及500多位知名企业家、投资者和创新者共襄大会、论道AI。 这一次也不例外。 12月12日-13日，在深圳博林天瑞喜来登酒店三楼宴会厅， 第八届GAIR全球人工智能与机器人大会， 也 将汇聚上百位嘉宾和数千位专家，开设四个主题论坛与两个闭门会 ...

Core Insights - The article discusses the upcoming GAIR 2025 conference, focusing on the evolution of AI technology and the strategic development of domestic AI chips in China, aiming to explore the future of the intelligent industry both locally and globally [1][3]. Event Overview - The GAIR 2025 conference will take place on December 12-13, 2025, in Shenzhen, featuring three thematic forums that will cover topics such as large models, embodied intelligence, computational power transformation, and world models [2][24]. - The conference aims to gather global scholars, entrepreneurs, and investors to share insights and advancements in AI technology [2][3]. Key Themes - The conference will focus on two main themes: 1. "Who is the next Cambrian?" which will analyze the potential leaders in the AI chip sector and their paths to commercialization [5][6]. 2. "Who will define China's intelligent computing future?" which will explore the evolution of intelligent computing systems and their integration into various industries [10][11]. Morning Session Highlights - The morning session will feature discussions on the challenges and opportunities facing domestic AI chips, including ecosystem construction and the growth logic of startups [7][8]. - Notable speakers include experts from leading universities and companies, providing insights into the future of AI chip technology [9]. Afternoon Session Highlights - The afternoon session will delve into the operational sustainability, architectural extensibility, and commercial viability of intelligent computing systems [11][12]. - Key discussions will focus on how to build a robust computational infrastructure and the transition from construction to commercial closure [12][18]. Conclusion - GAIR 2025 aims to be a platform for deep dialogue and collaboration among industry leaders, fostering innovation and the integration of technology, industry, and capital to drive the growth of the intelligent era [19][20].