Group 1 - The core point of the news is that Inspur Information experienced a decline of 1.07% in its stock price, reaching 66.84 yuan per share, with a trading volume of 883 million yuan and a turnover rate of 0.89%, resulting in a total market capitalization of 98.153 billion yuan [1] - Inspur Information, established on October 28, 1998, and listed on June 8, 2000, is primarily engaged in the development, production, sales, and system integration of computer software, hardware, and other information products [1] - The company's main business revenue composition includes 93.88% from server products, 6.03% from storage and switching products, and 0.09% from other sources [1] Group 2 - The He Xu Zhi Yuan Fund has a significant holding in Inspur Information, with the He Xu Zhi Yuan Financial Technology Index (LOF) A (168701) reducing its position by 1,400 shares in the third quarter, holding a total of 93,400 shares, which represents 5.92% of the fund's net value, making it the third-largest holding [2] - The He Xu Zhi Yuan Financial Technology Index (LOF) A (168701) was established on April 3, 2020, with a current scale of 70.7324 million yuan, achieving a year-to-date return of 15.11%, ranking 3,198 out of 4,189 in its category [2] - The fund manager, Yang Zhiyong, has been in position for 3 years and 186 days, with the fund's total asset size at 122 million yuan, achieving a best return of 33.68% and a worst return of 0.53% during his tenure [3]

（文章来源：证券日报） 证券日报网讯 12月30日，浪潮信息在互动平台回答投资者提问时表示，公司持续努力拓展国内外市 场，业务遍及全球主要国家和地区，具体经营数据请以财报披露为准。 ...

证券日报网讯12月29日，浪潮信息（000977）在互动平台回答投资者提问时表示，截至2025年12月19 日，公司股东总户数为34万余户。 ...

Group 1 - The core viewpoint of the news is that Inspur Information has shown significant stock performance, with a year-to-date increase of 32.64% and a recent uptick of 6.54% over the last five trading days [1] - As of December 29, the stock price reached 68.60 yuan per share, with a total market capitalization of 100.737 billion yuan [1] - The company has seen a net inflow of main funds amounting to 4.9527 million yuan, with large orders contributing significantly to the trading volume [1] Group 2 - Inspur Information, established on October 28, 1998, and listed on June 8, 2000, primarily engages in the development, production, and sales of computer software, hardware, and other information products, with server products accounting for 93.88% of its revenue [2] - The company reported a revenue of 120.669 billion yuan for the period from January to September 2025, reflecting a year-on-year growth of 45.16%, while the net profit attributable to shareholders was 1.482 billion yuan, up 14.51% [2] - As of December 10, the number of shareholders decreased by 2.78% to 350,000, with an average of 4,190 circulating shares per person, which increased by 2.60% [2] Group 3 - Since its A-share listing, Inspur Information has distributed a total of 1.489 billion yuan in dividends, with 646 million yuan paid out in the last three years [3] - The top ten circulating shareholders include significant institutional investors, with notable reductions in holdings observed among several ETFs [3]

Core Viewpoint - The global AI industry has transitioned from a model performance competition to a "life-and-death race" for the large-scale implementation of intelligent agents, where cost reduction is no longer optional but a critical factor for profitability and industry breakthroughs [1] Group 1: Cost Reduction Breakthrough - Inspur Information has launched the Yuan Brain HC1000 ultra-scalable AI server, achieving a breakthrough in inference cost to 1 yuan per million tokens for the first time [2][3] - This breakthrough is expected to eliminate the cost barriers for the industrialization of intelligent agents and reshape the underlying logic of competition in the AI industry [3] Group 2: Future Cost Dynamics - Liu Jun, Chief AI Strategist at Inspur, emphasized that the current cost of 1 yuan per million tokens is only a temporary victory, as the future will see an exponential increase in token consumption and demand for complex tasks, making current cost levels insufficient for widespread AI deployment [4][5] - For AI to become a fundamental resource like water and electricity, token costs must achieve a significant reduction, evolving from a "core competitiveness" to a "ticket for survival" in the intelligent agent era [5] Group 3: Historical Context and Current Trends - The current AI era is at a critical point similar to the history of the internet, where significant reductions in communication costs have driven the emergence of new application ecosystems [7] - As technology advances and token prices decrease, companies can apply AI on more complex and energy-intensive tasks, leading to an exponential increase in token demand [8] Group 4: Token Consumption Data - Data from various sources indicates a significant increase in token consumption, with ByteDance's Doubao model reaching a daily token usage of over 50 trillion, a tenfold increase from the previous year [13] - Google's platforms are processing 1.3 trillion tokens monthly, equivalent to a daily average of 43.3 trillion, up from 9.7 trillion a year ago [13] Group 5: Cost Structure Challenges - Over 80% of current token costs stem from computing expenses, with the core issue being the mismatch between inference and training loads, leading to inefficient resource utilization [12] - The architecture must be fundamentally restructured to enhance the output efficiency of unit computing power, addressing issues such as low utilization rates during inference and the "storage wall" bottleneck [14][16] Group 6: Innovations in Architecture - The Yuan Brain HC1000 employs a new DirectCom architecture that allows for efficient aggregation of massive local AI chips, achieving a breakthrough in inference cost [23] - This architecture supports ultra-large-scale lossless expansion and enhances inference performance by 1.75 times, with single card utilization efficiency (MFU) potentially increasing by 5.7 times [27] Group 7: Future Directions - Liu Jun stated that achieving a sustainable and significant reduction in token costs requires a fundamental innovation in computing architecture, shifting the focus from scale to efficiency [29] - The AI industry must innovate product technologies, develop dedicated computing architectures for AI, and explore specialized computing chips to optimize both software and hardware [29]

Group 1 - The core viewpoint of the news is that Inspur Information has shown significant stock performance, with a year-to-date increase of 31.09% and a recent 10.03% rise over the last five trading days [1] - As of December 26, the stock price reached 67.80 yuan per share, with a total market capitalization of 995.63 billion yuan [1] - The company has experienced a net inflow of main funds amounting to 35.83 million yuan, with large orders contributing significantly to the trading volume [1] Group 2 - Inspur Information, established on October 28, 1998, and listed on June 8, 2000, primarily engages in the development, production, and sales of computer software, hardware, and other information products, with server products accounting for 93.88% of its revenue [2] - The company reported a revenue of 120.67 billion yuan for the period from January to September 2025, reflecting a year-on-year growth of 45.16%, while the net profit attributable to shareholders was 1.48 billion yuan, up 14.51% [2] - As of December 10, the number of shareholders decreased by 2.78% to 350,000, with an average of 4,190 circulating shares per person, which increased by 2.60% [2] Group 3 - Since its A-share listing, Inspur Information has distributed a total of 1.49 billion yuan in dividends, with 646 million yuan distributed over the past three years [3] - As of September 30, 2025, the top ten circulating shareholders included Hong Kong Central Clearing Limited and various ETFs, all of which saw a reduction in their holdings compared to the previous period [3]

证券日报网讯 12月25日，浪潮信息发布公告称，公司2025年12月25日召开2025年第四次临时股东会， 审议通过《关于完善公司治理制度的议案》等多项议案。 （文章来源：证券日报） ...

浪潮电子信息产业股份有限公司 公 司 章 程 二○二五年十二月 | ৰী | | --- | | 第一章 | 总则 - | 3 | - | | --- | --- | --- | --- | | 第二章 | 经营宗旨和范围 | - 6 | - | | 第三章 | 股份 - | 7 | - | | 第一节 | 股份发行 | - 7 | - | | 第二节 | 股份增减和回购 | - 9 | - | | 第三节 | 股份转让 - | 11 | - | | 第四章 | 股东和股东会 - | 12 | - | | 第一节 | 股东的一般规定 - | 12 | - | | 第二节 | 控股股东和实际控制人 - | 17 | - | | 第三节 | 股东会的一般规定 - | 18 | - | | 第四节 | 股东会的召集 - | 22 | - | | 第五节 | 股东会的提案与通知 - | 24 | - | | 第六节 | 股东会的召开 - | 26 | - | | 第七节 | 股东会的表决和决议 - | 30 | - | | 第五章 | 董事会 - | 36 | - | | 第一节 | 董事的一般规定 - | 36 | ...

北 京 市 东 城 区 北 三 环 东 路 36 号环球 贸易中心 B 座 11 层 电话（Tel）： 52213236/7 邮编（P.C）： 100013 北京市君致律师事务所 关于浪潮电子信息产业股份有限公司 2025 年第四次临时股东会的 法律意见书 君致法字[2025]360 号 致：浪潮电子信息产业股份有限公司 北京市君致律师事务所（以下简称本所）受浪潮电子信息产业股份有限公司 （以下简称公司）的委托，指派律师出席 2025 年 12 月 25 日下午 3:00 召开的公 司 2025 年第四次临时股东会（以下简称本次股东会）；依据《中华人民共和国公 司法》（以下简称《公司法》）、《中华人民共和国证券法》（以下简称《证券法》）、 《上市公司股东会规则》（以下简称《股东会规则》）等现行法律、法规和其他规 范性文件及《公司章程》的规定，特就公司本次股东会相关事宜，出具本法律意 见书。 对本法律意见书的出具，本所特作如下声明： 1、本所及经办律师依据《证券法》、《律师事务所从事证券法律业务管理办 法》和《律师事务所证券法律业务执业规则（试行）》等规定及本法律意见书出 具日以前已经发生或者存在的事实，严格履 ...

证券代码：000977 证券简称：浪潮信息 公告编号：2025-068 浪潮电子信息产业股份有限公司 2025 年第四次临时股东会决议公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚假记载、误导 性陈述或重大遗漏。 特别提示 （一）会议召开情况 1.召开时间 现场会议时间：2025 年 12 月 25 日 15:00 网络投票时间：通过深圳证券交易所系统进行网络投票的具体时间为 2025 年 12 月 25 日 9:15-9:25，9:30-11:30，13:00-15:00；通过深圳证券交易所互 联网投票系统投票的具体时间为 2025 年 12 月 25 日 9:15 至 15:00 的任意时间。 2.会议地点：北京市海淀区凌霄路 15 号院 1 号楼一层东侧 102 会议室。 3.会议的召开方式：现场表决与网络投票相结合。 4.会议召集人：浪潮电子信息产业股份有限公司董事会； 5.会议主持人：董事长彭震先生； 1.本次股东会无增加、否决或变更提案的情况。 2.本次股东会不涉及变更以往股东会已通过的决议。 一、会议召开和出席情况 6.本次会议的召集、召开符合《公司法》《深圳证券交易所股 ...