登录新浪财经APP 搜索【信披】查看更多考评等级 证券代码：002212 证券简称：天融信 公告编号：2025-037 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。 一、本期业绩预计情况 （一）业绩预告期间 2025年1月1日至2025年6月30日 公司继续推进提质增效战略，报告期实现大幅减亏。 1、公司始终坚持技术创新的发展战略，持续完善产品体系与解决方案，不断提升核心竞争力；同时， 进一步加强市场营销工作，优化营销布局，增强市场渗透力。在复杂的市场环境下，第二季度单季营业 收入同比增长超8%。 2、公司充分发挥自身核心竞争优势，积极优化市场竞争策略，强化项目筛选机制，收入质量持续提 升，报告期毛利率同比增长超过4个百分点。 3、公司持续深化内部管理，不断强化费用管控力度，在保证运营效率的同时，有效控制成本支出。报 告期内，销售费用、研发费用及管理费用三项费用均实现同比下降，三项费用总额同比减少超过13%。 四、风险提示 公司本次业绩预告是根据公司财务部初步核算得出，具体财务数据将在本公司2025年半年度报告中详细 披露。敬请广大投资者审慎决策，注意投资风 ...

4、医疗+AI 方向：自 DeepSeek、通义千问等大模 型横空出世以来，各医疗单位具备积极的接入意愿。 公司将不拘泥于本地部署和问答交互等简单应用，着 力解决AI工具和数据对医疗场景有效的业务支撑和再 优化。针对大型三甲医院、市县医疗机构、医疗监管 机构存在的行业痛点提供医疗智能体一体化解决方 案。在医疗行业的患者服务、核心业务、运营管理三 大主线中，基于 LLMOps 的一站式大模型开发平台,引 用知识库，打造垂直专业一体机解决方案，满足不同 等级医院的需求。同时，公司在 2025 年一季度完成 AI 服务器集群的建立，与满血版本的本地化部署。基于 上述条件，公司将加快对本地数据训练模型调优，持 续收集医疗数据，训练并优化本地化 AI 模型，提升诊 断准确性，采用联邦学习技术，保护数据隐私同时实 | | 现模型共享。 | | --- | --- | | | 问题 5：在医疗 AI 领域，公司布局已久，也有相 | | | 关动作。目前医疗 AI 产品的推广和落地情况如何？后 | | | 续研发还有什么规划？ | | | 答：今年初，公司已完成 AI 服务器集群的建立与 | | | 满血版本的本地化部署。公 ...

智通财经7月11日电，天融信(002212.SZ)发布2025年半年度业绩预告，预计归属于上市公司股东的净亏 损6000万元至7000万元，比上年同期减亏65.98%至70.84%。报告期公司持续推进提质增效战略，实现 大幅减亏。公司坚持技术创新，完善产品体系与解决方案，加强市场营销，优化营销布局，第二季度营 业收入同比增长超8%；同时优化竞争策略，提升收入质量，毛利率同比增长超4个百分点；深化内部管 理，强化费用管控，销售、研发及管理费用同比减少超13%。 天融信：预计上半年净亏损6000万元-7000万元 同比减亏 ...

Core Viewpoint - The rapid development of large models and generative AI technologies is creating unprecedented growth opportunities in the computing infrastructure market, prompting the company to raise funds for a new cloud computing and AI industrial park project [1][3]. Group 1: Company Expansion Plans - The company plans to raise up to 1.75 billion yuan through a private placement to build a new generation cloud computing and AI industrial park in Langfang, Hebei [1][4]. - The project will include the construction of five data center buildings, with a total of 8,925 cabinets to be deployed, and is expected to take 18 months to complete [4][5]. - As of the end of 2024, the company has expanded its operations to over 30 cities in China, with more than 43,000 cabinets in operation and total assets increasing from 1.63 billion yuan in 2019 to 12.84 billion yuan by Q1 2025 [3]. Group 2: Market Demand and Industry Trends - The global data volume is projected to reach 291 zettabytes by 2027, nearly doubling from 2023, driven by the proliferation of technologies such as 5G, IoT, and autonomous driving [3]. - Major cloud service providers are significantly increasing their capital expenditures, with Alibaba planning to invest at least 380 billion yuan in cloud computing and AI infrastructure over the next three years, creating a favorable market environment for data center service providers [3]. Group 3: Financial Performance and Challenges - The company has faced a dilemma of increasing revenue without corresponding profit growth, with revenues of 1.335 billion yuan and 2.165 billion yuan in 2023 and 2024, respectively, while net profits declined from 166 million yuan in 2022 to 141 million yuan and 124 million yuan in the following years [6]. - The company's gross profit margin has decreased from 29.51% in 2020 to 26.40% in 2024, attributed to a higher proportion of low-margin businesses such as computing equipment sales and value-added services [8]. - The asset-liability ratio has risen from 55.77% in 2020 to 71.12% by the end of 2024, indicating increasing financial risk due to a heavy asset operation model [8]. Group 4: Investment Returns and Risk Management - The company anticipates an internal rate of return of 11.49% and a payback period of 7.4 years for the new investment project, which poses challenges for cash flow management [9]. - To mitigate risks, the company is engaging potential customers early in the project investment process and aims to expedite the commissioning of new data centers to enhance cabinet utilization [9].

Core Viewpoint - The rapid development of large models and generative AI technologies is creating unprecedented growth opportunities in the computing infrastructure market, as evidenced by the recent fundraising plans of Guangdong Aofei Data Technology Co., Ltd. [1] Group 1: Company Overview - Aofei Data is characterized as a "digital infrastructure provider," operating self-built data centers to lease cabinets and bandwidth, while also offering network security and cloud computing services [3] - By the end of 2024, Aofei Data's operations will cover over 30 cities in China, with more than 43,000 cabinets in operation and total assets increasing from 1.63 billion yuan at the end of 2019 to 12.84 billion yuan by the first quarter of 2025 [3] Group 2: Market Demand and Expansion Plans - The aggressive expansion of Aofei Data is driven by the real demand from the AI industry, with global data volume expected to reach 291 ZB by 2027, nearly doubling from 2023 [4] - Major cloud providers are significantly increasing their capital expenditures, with Alibaba planning to invest at least 380 billion yuan in cloud computing and AI infrastructure over the next three years, creating a vast market space for data center service providers [4] - Aofei Data plans to raise 1.75 billion yuan to build a new generation cloud computing and AI industrial park in Langfang, which will include five new data center buildings with a total of 8,925 cabinets [4][5] Group 3: Financial Performance and Challenges - Despite the promising expansion plans, Aofei Data faces financial challenges, with revenue growth not translating into profit increases; revenues for 2023 and 2024 are projected at 1.335 billion yuan and 2.165 billion yuan, respectively, while net profits are declining [7] - The company's gross margin has decreased from 29.51% in 2020 to 26.40% in 2024, attributed to a higher proportion of low-margin businesses [10] - The asset-liability ratio has risen from 55.77% in 2020 to 71.12% by the end of 2024, indicating increasing financial risk due to a heavy asset operation model [10] Group 4: Investment Returns and Risk Management - Aofei Data anticipates an internal rate of return of 11.49% and a payback period of 7.4 years for the new investment project, which poses challenges for cash flow management [12] - To mitigate risks, Aofei Data is engaging potential customers early in the project investment process and aims to expedite the commissioning of new data centers to enhance cabinet utilization [12]

随着不久前美国法官支持Meta、Anthropic的诉求，做出了AI厂商使用受版权保护的作品来训练AI大模 型属于合理使用这样的判决，AI业界真的是变天了。当法官认为硅谷AI大厂未经版权方许可的行为"符 合版权激发创造力、促进科学进步的目的"，直接让拥有内容的版权所有者变得人人自危。 就在全世界的内容创作者和版权方都惴惴不安时，知名云服务提供商Cloudflare站了出来，日前该公司 宣布将默认阻止AI爬虫在未经网站所有者许可或补偿的情况下抓取内容。据悉，每一个新注册 Cloudflare的域名都将被询问是否允许AI爬虫访问，从而有效赋予网站阻止AI爬虫抓取其数据的能力。 当AI厂商从法律层面获得了使用爬虫抓取内容的合理许可之后，全世界的内容创作者就已经失去用法 律武器保护自己的可能，双方的对抗将回归技术攻防范畴。可是面对拥有强大技术实力的AI厂商，版 权方保护内容的防线说是纸糊的都不为过。所以在这时候，Cloudflare的出现无异于是救内容创作者或 版权方于水火之中。 当然，Cloudflare也不是做慈善的，其反AI爬虫功能仅提供给使用Cloudflare服务的创作者。作为全球知 名的网络服务提供商，C ...

绿色护航：低碳战略注入发展动能。聚焦国家"双碳"目标，公司创新推出的"分布式光伏电站发电量损 失补偿保险"有效化解设备损坏及自然环境因素导致的收益波动风险；"储能系统质量和性能保修保 险"保障新型储能系统全周期运行；创新"绿色建筑性能保险"为超低能耗建筑项目提供能效达标风险保 障，有力推动建筑行业绿色低碳转型进程。2024年，公司绿色保险风险保障规模达17亿元，同比增长 15%，以金融活水润泽绿色发展沃土。 民生根基：普惠服务彰显国企温度。"苏超"保障只是紫金保险江苏分公司在落实金融本源、发挥保险保 障功能实践举措之一。公司已将服务延伸至民生保障的方方面面：主承保"江苏医惠保1号"等惠民产 品，已惠及超百万江苏家庭，单年度赔付最高达128万元；2024年度，长期护理保险覆盖全省8个地市， 其中紫金保险作为主承保方或独立承办方的南京、盐城、镇江丹阳、淮安长护项目累计承保183.4万人 次；政策性农险为82.9万农户提供346.73亿元风险保障；知识产权保险产品矩阵更延伸至研发中断保 障，为科创企业创新失败风险提供托底支持。 从守护科创企业的知识产权，到保障绿茵场上的竞技安全，紫金保险江苏分公司始终以国企担当诠 ...

智通财经APP获悉，经济学家努里尔·鲁比尼表示，他预计到2025年底美国核心通胀率将升至3.5%。他 指出，今年下半年美国经济增长将放缓，甚至可能出现衰退，而美联储在12月之前都不会降息。鲁比尼 因提前预测2008年金融危机和2020年疫情引发的衰退而获得"末日博士"的称号。 鲁比尼称，经济放缓将呈现"轻度滞胀冲击"的特征，并警告称通胀仍然过高，美联储难以转向政策。美 联储青睐的通胀指标——核心个人消费支出指数依然顽固。鲁比尼认为该指数将远高于目标水平，令美 联储陷入困境。这种增长放缓而通胀高企的局面，他此前已多次预见。 这位经济学家还表示，他预计全球贸易谈判将降温，但无法避免对经济造成损害。他预测最终将出 现"温和的"结果，许多国家最终将面临15%的关税。 当被问及潜在的市场冲击时，鲁比尼表示，他认为美国不会重演2025年4月2日的情景。当时特朗普总统 宣布加征激进关税，导致市场暴跌20%。鲁比尼说："我当然不认为会出现类似4月2日的情况。"但他仍 发出警告，明确指出经济路径正在收窄，美联储的行动空间有限。 该ETF持有黄金、短期美国政府债券和农产品等组合。这种配置在某些时候有所帮助，但在6月等平静 月份也 ...

被誉为"末日博士"的经济学家兼投资者鲁比尼预见美国经济前方将有一段艰难时期，但他并不主张投资 者进行任何恐慌性抛售。鲁比尼表示，他预计美联储偏爱的通胀指标——核心个人消费支出（PCE）指 数——到年底将达到约3.5%，而经济增长将会减弱，甚至可能转为负增长。 因成功预言2008年全球金融危机而闻名的鲁比尼表示，下半年将相当于一场"迷你滞胀冲击"，并且美联 储至少要到12月才会降息。这位经济学家说，这一观点包含了对贸易谈判将以"温和"方式解决的预期， 即最终许多国家将面临15%的关税税率。 "我当然不认为会发生任何接近4月2日那样的情况，"鲁比尼说，他指的是美国总统特朗普当天宣布的、 曾引发市场急剧抛售的关税水平。 这位在哈佛接受教育的经济学家，在学术界、政府和私营部门都有着长期的从业记录。"末日博士"的绰 号源于他在其职业生涯中发出的众多夸张宏观经济警告。尽管他的"胜率并非完美"，但他曾准确警告了 金融危机和2020年由新冠疫情引发的衰退。 目前，他也是阿特拉斯美国基金（Atlas America Fund, USAF）的投资组合经理之一，这是一只去年末 推出的ETF，旨在防范从结构性高通胀到气候变化等各种经 ...

Core Viewpoint - Guangdong Aofei Data Technology Co., Ltd. is planning to issue shares to specific investors to raise funds for its new generation cloud computing and artificial intelligence industrial park project, which aims to enhance its data center capabilities and meet market demand. Group 1: Company Overview - The company was established on September 28, 2004, with a registered capital of RMB 985.12 million and is listed on the Shenzhen Stock Exchange under the stock code 300738 [6][10]. - The controlling shareholder is Guangzhou Haomeng Computer Technology Co., Ltd., with the actual controller being Feng Kang, who holds a significant stake in the company [7][10]. Group 2: Financial Data - As of March 31, 2025, the company's total assets were RMB 76,162.51 million, and net assets were RMB 7,878.36 million [7]. - The company reported a revenue of RMB 12,756.57 million for the first quarter of 2025, showing significant growth compared to previous periods [7]. Group 3: Investment Projects - The new project will add 8,925 cabinets with a power capacity of 8.8KW each, aimed at enhancing the company's data center capacity in the Langfang IDC market, which has favorable demand conditions [2]. - The project is expected to incur an annual depreciation expense of RMB 141.50 million once operational, impacting profitability if market conditions change adversely [3]. Group 4: Market Environment - The IDC industry is experiencing increased competition due to the rapid growth of cloud computing and artificial intelligence, which may lead to a decline in overall industry gross margins [5]. - The company is subject to regulatory oversight from the Ministry of Industry and Information Technology and local communication management bureaus, which govern the telecommunications and internet sectors [11][12]. Group 5: Risks and Challenges - The company faces risks related to the large scale of fixed asset investments and ongoing construction projects, which could lead to financial strain if not managed properly [1]. - There is a potential risk of underutilization of new capacity if market demand shifts unfavorably, impacting the expected returns from the investment [2][4].