证券代码：300657 证券简称：弘信电子 公告编号：2025-67 厦门弘信电子科技集团股份有限公司 备制造；云计算设备制造；云计算设备销售；计算机软硬件及辅助设备零售；人 工智能公共数据平台；互联网数据服务；信息系统集成服务；软件开发；技术服 务、技术开发、技术咨询、技术交流、技术转让、技术推广；网络设备制造；网 络设备销售；人工智能行业应用系统集成服务；信息技术咨询服务。（除依法须 经批准的项目外，凭营业执照依法自主开展经营活动） 股东 一、增资情况概述 增资前 增资后 公司控股子公司上海燧弘华创科技有限公司（以下简称"燧弘华创"）拟以 现金方式向其全资子公司厦门燧弘灵析科技有限公司（以下简称"燧弘灵析"） 增资人民币 19,000 万元。本次增资完成后，燧弘灵析注册资本由 1,000 万元增加 至 20,000 万元。 认缴注册资本 认缴出资资本 持股比例 持股比例 （万元） （万元） 燧弘华创 1,000.00 100.00% 20,000.00 100.00% 本公司及董事会全体成员保证公告内容真实、准确和完整，公告不存在虚 假记载、误导性陈述或者重大遗漏。 根据《深圳证券交易所创业板股票上市规则 ...

Core Insights - The rapid development of large models driven by AI demands significant computational power, leading to the emergence of the "SuperPod" as a key solution for efficient AI training [1][2] - The transition from traditional computing architectures to SuperPod technology signifies a shift in the AI infrastructure competition from isolated breakthroughs to a system-level ecosystem [1][5] Industry Trends - The SuperPod, proposed by NVIDIA, represents a Scale Up solution that integrates GPU resources to create a low-latency, high-bandwidth computing entity, enhancing performance and energy efficiency [2][4] - The traditional air-cooled AI servers are reaching their power density limits, prompting the adoption of advanced cooling technologies like liquid cooling in SuperPod designs [2][5] Market Outlook - The market for SuperPods is viewed positively, with many domestic and international server manufacturers selecting it as the next-generation solution, primarily utilizing copper connections [2][4] - Major Chinese tech companies, including Huawei and Xizhi Technology, are actively developing SuperPod solutions, showcasing significant advancements in AI computing capabilities [5][6] Technological Developments - The ETH-X open standard project, led by the Open Data Center Committee, aims to establish a framework for SuperPod architecture, combining Scale Up and Scale Out networking strategies [4] - Companies like Moer Thread are building comprehensive AI computing product lines, emphasizing the need for efficient collaboration among large-scale clusters to enhance AI training infrastructure [6]

Group 1 - The China Artificial Intelligence Industry Development Alliance is launching the development of performance standards for AI integrated machines to standardize performance indicators and technical capabilities [1] - The AI integrated machine includes high-performance computing hardware, pre-trained large AI models, and supporting software systems, designed for "plug-and-play" use, reducing the barriers to AI application [1] - The market for AI integrated machines is rapidly expanding, with over 100 manufacturers in China launching AI integrated machines, indicating a competitive landscape [1] Group 2 - Tianrongxin is advancing its intelligent computing cloud business by releasing a series of products including intelligent computing cloud platforms, integrated machines, and computing power servers, integrating multiple capabilities such as computing, storage, networking, security, and intelligence [2]

Core Viewpoint - The article promotes a summer cash consumption rebate activity by Yingbo Cloud, targeting university users to enhance their AI research capabilities through discounted computing power services [1]. Group 1: Activity Details - The activity runs from now until August 31 [4]. - Users can receive corresponding cash vouchers based on their cash consumption, with a tiered rebate structure where spending over 10,000 yuan directly earns a 30% rebate [5][6]. - There are three additional benefits: registration and first recharge vouchers, recharge bonuses, and cash consumption bonuses, all expiring on August 31 [7]. Group 2: Pricing and Discounts - A800 pricing starts at 4.26 yuan per card per hour and H800 at 9.33 yuan per card per hour for users who meet the consumption threshold [2][9]. - Pricing examples show that the cost per hour decreases with higher consumption, with A800 at 4.26 yuan and H800 at 9.33 yuan for spending over 10,000 yuan [9]. Group 3: Voucher Details - Vouchers are valid for three months, encouraging users to plan their usage to avoid expiration [11]. - Specific recharge amounts yield different voucher values, such as 100 yuan for a 1,000 yuan recharge and 1,600 yuan for an 8,000 yuan recharge [8]. Group 4: Company Background - Yingbo Cloud, a wholly-owned subsidiary of Hongbo Co., Ltd., was established in June 2022 and focuses on providing GPU computing services and supporting AI technology development [14][15]. - The company aims to empower various sectors, including AIGC and university research, by offering comprehensive intelligent computing services [16].

Financial Activities - CoreWeave 计划发行 15 亿美元的高级票据[1] - 这笔资金的部分用途是用于再融资债务[1]

Core Viewpoint - The computing power sector has seen significant upward movement, driven by both domestic and international catalysts, with notable performances from leading companies in the AI chip market [1][3]. Group 1: Market Performance - As of July 17, 2025, the CSI Cloud Computing and Big Data Theme Index (930851) rose by 0.96%, with key stocks such as Runhe Software (300339) increasing by 6.51% and New Yisheng (300502) by 6.02% [1][2]. - The Big Data ETF (159739) also saw an increase of 1.17%, with the latest price reported at 1.21 yuan [1][2]. Group 2: Industry Drivers - The strong performance of the computing power sector is attributed to the recovery of AI chip sales to China by Nvidia, which has reached a historical high in stock price [1][3]. - Domestic market sentiment is improving, with the supply of NV special edition chips and the production capacity of domestic companies like Cambricon showing significant improvements, alleviating previous chip shortages [1][3]. Group 3: Investment Insights - According to ShenGang Securities, leading companies in the industry chain are expected to report strong performance in the first half of 2025, benefiting from ongoing AI computing power investments and the expansion of edge AI applications [1][3]. - The increasing training volume of Grok4 indicates a continued necessity for computing power investment, suggesting that there remains substantial room for growth in computing demand amid ongoing upgrades of large models [1][3]. Group 4: Index Composition - As of June 30, 2025, the top ten weighted stocks in the CSI Cloud Computing and Big Data Theme Index include iFlytek (002230), Zhongji Xuchuang (300308), and New Yisheng (300502), collectively accounting for 51.84% of the index [4].

Group 1 - The AI computing hardware sector is experiencing significant growth, driven by strong policy support and increasing demand for data centers, with companies like Xinyiseng and Zhongji Xuchuang seeing substantial gains [3] - The real estate sector is showing signs of recovery, particularly in areas related to urban renewal and affordable housing, as local policies become more favorable, although traditional developers are still struggling [3][4] - The overall market is witnessing a divergence, with many stocks declining while a few sectors, particularly AI and real estate with policy backing, are performing well, indicating a selective investment environment [4] Group 2 - The solar, coal, and power sectors are facing challenges, with companies like Yamaton and Dayou Energy experiencing significant declines due to oversupply and strict policy regulations [3][4] - The market is characterized by a concentration of funds in sectors with clear growth logic, suggesting that investors need to be more discerning in their stock selections [4] - The rise in the ChiNext index is primarily driven by heavyweight stocks, while the majority of stocks are declining, highlighting the importance of focusing on industry trends and company fundamentals rather than just index movements [4]

Core Viewpoint - The collaboration between CoreWeave, NVIDIA, and IBM has resulted in the largest MLPerf Training v5.0 test, showcasing significant advancements in AI infrastructure capabilities [2][3]. Group 1: MLPerf Training v5.0 Test Results - CoreWeave utilized 2,496 GB200 Grace Blackwell chips to create the largest NVIDIA GB200 NVL72 cluster in MLPerf history, surpassing previous submissions by 34 times [2][3]. - The GB200 NVL72 cluster completed the training of the Llama 3.1 405B model in just 27.3 minutes, achieving over a twofold performance improvement compared to similar scale clusters [3]. - This performance leap highlights the capabilities of the GB200 NVL72 architecture and CoreWeave's infrastructure in handling demanding AI workloads [3]. Group 2: Industry Participation and Growth - The MLPerf Training v5.0 test saw a record number of submissions, with 201 performance test results from 20 different organizations, indicating a significant increase in industry participation [6]. - The introduction of the Llama 3.1 405B model as the largest model in the training suite has attracted more submissions than previous tests based on GPT-3, reflecting the growing importance of large-scale training [5][6]. - New participants in the MLPerf Training tests include AMD, IBM, and others, emphasizing the expanding landscape of AI infrastructure providers [6].

Core Insights - The article highlights the development of the Kunpeng and Ascend computing technologies by Huawei, which aim to create an innovative ecosystem for global developers [1][2] - The focus is on enhancing the usability, flexibility, and scalability of AI platforms and tools to accelerate industry application innovation [1] Group 1: Ecosystem Development - As of May 2025, Kunpeng and Ascend have developed over 6.65 million developers and more than 8,800 partners, with over 23,900 solution certifications completed [1] - The ecosystem is deemed crucial for the breakthrough of domestic computing technologies [1] Group 2: Technological Innovations - Huawei introduced the Kunpeng AI+ solution for general computing and the CATLASS operator template library for AI computing, enhancing the ease of operator development and application deployment [1] - The Ascend super-node architecture aims to overcome cluster interconnection bottlenecks, significantly improving overall computing efficiency [1] Group 3: Talent Development and Collaboration - Huawei has trained over 400,000 students in Ascend technology and established excellence and incubation centers with top universities [2] - Collaboration with iFlytek on large-scale model training has addressed multiple technical challenges, enabling the application of MoE models [2] - The DeepSeek model, developed in partnership with over 100 collaborators, supports more than 500 clients across various industries including internet, telecommunications, finance, education, and healthcare [2]

点击 上方 硬AI 关注我们 测试结果显示，相比前代英伟达Hopper GPU，GB200 NVL72服务器能帮助Cohere在1000亿参数模型的训练实现高达3 倍的性能提升，此外，IBM和Mistral AI也已成为CoreWeave GB200云服务的首批用户。 "世界各地的企业和组织正在竞相将推理模型转化为代理型人工智能应用，这将改变人们的工作和娱 乐方式。" 硬·AI 作者 | 李笑寅 编辑 | 硬 AI CoreWeave再度抢占先机，率先部署英伟达GB200系统，AI巨头争相入局。 英伟达今日在其博客上宣布， AI云计算提供商CoreWeave已成为首批大规模部署英伟达GB200 NVL72 系统的云服务提供商之一。Cohere、IBM和Mistral AI已成为首批用户。 根据最新MLPerf基准测试，这些系统提供了前代H100芯片2-3倍的性能提升，将显著加速大模型训练和推 理能力。 CoreWeave首席执行官Michael Intrator表示，这一成就既展示了公司的工程实力和执行速度，也体现了 其对下一代AI发展的专注： "CoreWeave的设计就是为了更快速地行动——我们一次又一次 ...