助力加速Agent应用的开发和规模化落地。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 据IPO早知道消息，PPIO于7月26日在WAIC 2025发布了国内首个Agentic AI基础设施服务平台， 助力加速Agent应用的开发和规模化落地。 针对Agent特性的开发需求，PPIO推出了AI智能体平台产品，分为通用版和企业版——通用版：以 极具性价比的分布式GPU云底座为支撑，发布中国首款兼容E2B接口的Agent沙箱，以及更适用于 Agent构建的模型服务，为个人开发者与中小企业提供兼具性能、效率、成本优势的AI智能体平台。 企业版：面向中大型企业多元化的Agent需求，联动PPIO GPU云服务、行业应用与开放生态，凭借 长期记忆、流程可控、全域操作、业务联动、多模态协同等五大差异化优势，构建智能决策到执行全 闭环，突破传统AI边界，为行业打造 "能听会看、善思会做"的智能体解决方案，推动Agent应用赋 能千行百业。 2019年，PPIO推出边缘云计算业务 ，基于共享经济的商业模式，结合行业领先的边缘云原生、大 数据、分布式计算技术，在网络边缘侧基础设施上 ...

此次亮相标志着以大模型为代表的新一代信息技术正深度融入政法工作的核心场景，为全国法院"一张网"战略下的数字法院新生态建设树立了行业标杆，有 力加速了法院领域全流程、全方位的数字化转型进程。 浪潮科技聚焦三大核心业务方向，致力于提升法院信息化"最后一公里"服务能力。其打造的数字法院管家，构建的数字法院"规划-建设-运维-运营"全生命周 期管理体系，集成智能运维助手"法小助"等AI工具，为法院提供标准化、智能化的全流程服务，有效保障审判工作质效。在融合科技法庭建设方面，浪潮展 出了业界领先的智慧法庭整体解决方案，该方案已在最高人民法院、云南高院、广西高院、昆明中院、青岛中院及来宾、安宁、昌宁等多地法院成功落地应 用，为庭审流程的智能化转型提供可复制的标杆案例。尤为突出的是在专项案件深化领域，浪潮创新性地构建了以法院为核心节点，有效联动政法委、司法 行政机关、金融监管局及银行等相关部门的协同治理新模式。特别是在金融纠纷等复杂案件处理中，形成了"政法委统筹矛盾调解、法院聚焦专业审判、浪 潮提供强大技术支撑"的高效闭环运作机制。这一模式不仅大幅提升了专项案件的化解效率，也为持续优化区域营商环境提供了坚实支撑。 支撑上述 ...

沿出城公路行驶20余公里，在植被覆盖的山脚下，一处灰白色的现代建筑藏身于此。这是西部某城于 2022年开工建设的智算中心。 不愿具名的业内知情人士告诉记者，这座千卡规模的智算中心，上架率不足50%。即便已上架的服务 器，实际利用率不足30%，而年运营成本则超过3000万元。 在全国，这样的智算中心不是个例。 截至2024年11月，全国已投运的智算中心项目近150个，在建和规划建设的智算中心项目近400个。据浪 潮人工智能研究院测算，我国智算中心平均算力使用率仅为30%。 这座西部小城夏季平均气温仅有23摄氏度，凉爽的气候、较低的土地价格，以及丰富的清洁能源，吸引 了大量算力企业来此投资。 人工智能技术的飞速发展，催生智能算力建设热潮。但在这股热潮下，不少盲目上马的智算中心正在空 转，大量闲置算力等待激活。 高质量需求遭遇低质量扩张 算力是计算机处理数据能力的统称。如果把大模型等人工智能产品看作一辆高速行驶的汽车，数据是汽 油燃料，算力则是发动机。根据运算精度、效率等指标的不同，算力大致可分为通用算力、智能算力、 超算算力等。其中，平衡精度与效率、能够执行复杂机器学习算法的智能算力，是当下市场抢手资源。 例如， ...

"ETF大本营"依托AI大模型，首创了一套ETF自动化智能陪伴策略体系。该体系能基于客户画像与ETF 动态事件标签，对用户从"放入自选"到"持仓、清仓"的每一个关键环节，提供全自动化的"千人千面"陪 伴服务。此外，AI技术的深度应用还帮助平台构建了"认知—种草—体验"的智能化运营闭环。这 种"AI+人工"的协同服务模式，一方面将投资顾问从大量重复性、基础性的服务工作中解放出来，使其 能够专注于更复杂的专业解读和价值创造；另一方面，AI技术大幅提升了服务的覆盖面和响应速度， 使大规模的精细化服务成为可能。 在技术分析方面，"ETF大本营"推出的"一键智选工具包"，集成了K线择时、神奇九转等智能分析工 具，将广发证券金融工程团队的量化策略和增强策略转化为普通投资者也能轻松使用的实用功能，显著 提升了从"市场观察"到"实际交易"的转化效率。此外，"ETF大本营"实现了从机会发现到最终交易的全 流程无缝衔接。在"跟策略"频道中，投资者可以获取基于广发证券"天玑智融"AI大模型服务开发的网格 交易、行业轮动等专业策略，并跟随这些策略完成交易操作，形成完整的投资闭环。 （编辑 郭之宸） 本报讯 （记者昌校宇）近日，广发证 ...

作为中国第一家公有云科创板上市公司，优刻得同样享受了科创板制度红利，成为中国A股市场首 家"同股不同权"的上市企业。优刻得科技股份有限公司研发总监王晓慧表示，科创板让科技创新企业能 够更好地与资本市场对接，助力中国科技发展。过去三年，优刻得持续加大研发投入，研发人力比例始 终保持在50%以上，重点投入在智能计算平台、AI模型服务、数据智能、安全合规等方向。 上海国创科技产业创新发展中心理事长、领中资本管理合伙人黄岩观察，以往科技企业成长更多依赖于 政府扶持和私募股权投资，融资渠道相对单一，现在企业在发展到一定阶段后，可以通过科创板上市， 获得更广泛的投资者关注和资金支持，加速企业的规模化发展。 (经济观察)科创板开市六周年：制度创新铺就"硬科技"成长跑道 中新社上海7月22日电 (高志苗)589家，这是科创板最新的上市企业数量。从2019年7月22日首批25家公 司上市，到今天总计589家上市公司，开市六年来，科创板通过持续的制度创新，为科技企业铺就"硬科 技"成长跑道。 2019年登陆科创板时，微芯生物仅有西达本胺单个产品单个适应症获批，如今已有西达本胺和西格列他 钠2款药物多个适应症全球上市销售。多个在研 ...

Core Viewpoint - The strategic partnership between ChinaSoft International and Beijing Silicon Flow Technology marks a significant step in addressing industry pain points and advancing digital transformation in enterprises, indicating a new phase of collaborative efforts in the digital intelligence wave [1][2]. Group 1: Partnership Overview - ChinaSoft International has over 20 years of experience in various industries, including finance, telecommunications, and manufacturing, with a portfolio of more than 1,000 large-scale projects [2]. - Silicon Flow Technology, established in August 2023, focuses on AI infrastructure and has made notable achievements in adapting domestic chips, enhancing model efficiency on Ascend chips [2][3]. - The collaboration aims to tackle the "last mile" issue in enterprise digital transformation by leveraging the complementary strengths of both companies [2]. Group 2: Technological Developments - In February 2025, Silicon Flow launched the DeepSeek R1/V3 inference service in collaboration with Huawei Cloud, achieving performance comparable to high-end GPU deployments [4]. - The partnership has developed four core platforms that address key aspects of enterprise digital transformation, creating a complete ecosystem from computing power support to application implementation [4][5]. Group 3: Platform Features - The high-performance AI platform integrates AI algorithms and computing resources to assist enterprises in data analysis, particularly beneficial in the financial sector for investment decision-making and risk assessment [5]. - The model service platform offers various AI model resources for customized development, enabling businesses to create tailored solutions, such as product recommendation models in e-commerce [6]. - The knowledge management platform organizes internal and external knowledge for efficient employee access, enhancing problem-solving capabilities in manufacturing [7]. - The intelligent application development platform allows enterprises to automate business processes, such as developing intelligent customer service applications to handle high volumes of inquiries during peak sales periods [8]. Group 4: Future Directions - The partnership is expected to expand into sectors like energy, transportation, and education, focusing on AI-driven solutions such as intelligent grid scheduling and personalized learning platforms [10]. - This collaboration not only addresses current digital transformation challenges but also proposes a replicable and scalable model for other enterprises, encouraging further exploration in the digital intelligence landscape [11].

Core Insights - Shandong Province's Industrial and Information Technology Department announced the public list of the ninth batch of high-end software products, with three products from Inspur Technology successfully selected [1][2] Group 1: Selected Products - The three selected software products are: 1. "Yanyu Industry Large Model Service Platform V1.0" 2. "Inspur TYJR Employment and Entrepreneurship Information System V2.0" 3. "Inspur National Land Spatial Basic Information Platform V5.0" [1][2] Group 2: Purpose of Recognition - The ninth batch of high-end software recognition aims to enhance software supply capabilities, create renowned software products in Shandong, and promote the software industry towards high-end and intelligent development [2] Group 3: Product Features - "Yanyu Industry Large Model Service Platform V1.0" offers functionalities including model aggregation, data annotation, and agile application construction, integrating over 150 large models and more than 20 multimodal models [2] - "Inspur TYJR Employment and Entrepreneurship Information System V2.0" is based on a government-led, multi-party participation model, incorporating technologies such as large model semantic analysis and OCR intelligent recognition [2] - "Inspur National Land Spatial Basic Information Platform V5.0" utilizes geographic ontology time-space data organization and multimodal data fusion, focusing on the storage, management, and visualization of multi-source data [3]

Core Viewpoint - The article discusses the collaboration between 找钢集团 (Zhaogang Group) and 托克集团 (Trafigura Group) to establish a joint venture, 宗金汇 (Zongjin Hui), aimed at creating a comprehensive e-commerce platform for non-ferrous metals, leveraging AI technology and extensive industry resources [2][3][12]. Group 1: Joint Venture and Market Potential - 找钢集团 has signed a joint venture agreement with Lykos Holding Hong Kong Limited, investing 45 million yuan to establish 宗金汇, where it will hold an 8.57% stake [2]. - The collaboration aims to build a full-category e-commerce platform for non-ferrous metals, addressing the growing demand from customers who also have steel procurement needs [3][6]. - The non-ferrous metal market in China has surpassed 2 trillion yuan in 2023, with a projected production of 7.919 million tons for ten types of non-ferrous metals in 2024, reflecting a year-on-year growth of 3.4% [10]. Group 2: Technology and AI Integration - 找钢集团's AI infrastructure, developed from its steel trading platform, is expected to enhance cross-category capabilities, facilitating efficient transactions in the non-ferrous metals sector [7][8]. - The company has launched a B2B trading SaaS tool, "腾采通," which utilizes AI technology to analyze over 6.73 million business opportunities daily, covering more than 11 million SKUs and facilitating over 100 million transaction matches [7]. - The AI-driven solutions are designed to improve operational efficiency, with AI agents achieving over 95% accuracy in matching inventory and responding to quotes, significantly enhancing transaction efficiency [7]. Group 3: Industry Challenges and Solutions - The non-ferrous metals market faces challenges such as low online penetration (5% compared to over 20% for black metals), inefficiencies in traditional trading models, and high financing costs for small and medium enterprises [11]. - The joint venture aims to address these pain points by providing comprehensive services, including intelligent pricing, B2B payment solutions, and supply chain management, thereby enhancing operational efficiency for businesses in the sector [14][15]. - 宗金汇's development strategy includes leveraging托克's self-operated resources and integrating 找钢's infrastructure to enhance service capabilities for small clients and create a complete industry chain [16].

Summary of the Conference Call for Jinbeifang Company Overview - Jinbeifang is a leading IT company in the banking sector, focusing on software development with over 60% of its clients being large banks, ensuring stable business growth [2][3] - The company is actively expanding its non-banking client base and aims to become a diversified service provider, with AI technology as a primary development direction [2][4] Core Insights and Arguments - Jinbeifang has launched four major AI products, including an AI large model service platform and intelligent testing assistant, which are expected to be promoted to small and medium-sized banks and other non-banking institutions [2][6] - The company is involved in the construction of the digital RMB system and is exploring stablecoin-related businesses in regions like Hong Kong, leveraging its experience with large state-owned banks [2][7][8] - Jinbeifang anticipates maintaining a revenue compound annual growth rate (CAGR) of around 10% starting in 2025, with net profit growth of approximately 15%, projecting revenues of 5.15 billion and profits of 360 million by 2025 [2][9] Growth Drivers - The company is expanding its system construction beyond banks to include non-banking clients, insurance companies, and asset management firms, aiming for a comprehensive service model [4][5] - AI applications and data services are expected to constitute a significant portion of future revenues, with AI-related income projected to grow rapidly [5][6] Competitive Advantages - Jinbeifang's primary advantages include being the largest in software development revenue among listed banking IT companies, focusing solely on software development without involvement in system integration or hardware services [3] - The company has a strong client base of large banks, which provides stability and allows for deep involvement in digital currency and AI initiatives [3][6] Financial Outlook and Valuation Potential - The company is expected to achieve a PE ratio close to 50 times by 2025, with potential for valuation increases compared to peers like Shen Zhou Information and Changliang Technology, which have higher valuations [9][10] - Jinbeifang's stock price could see over 50% upside, driven by stablecoin policy developments and increasing AI orders, with anticipated revenue growth of over 50% in the next two years [10][11] Industry Catalysts - Key catalysts for the stablecoin industry include the implementation of Hong Kong's stablecoin regulations and the US Genius Act, which are expected to encourage more companies to enter the stablecoin issuance and virtual asset trading space [11] - Despite recent stock price increases of 30% to 40%, there remains potential for further growth in the context of macroeconomic dynamics and stablecoin developments [11] Additional Insights - Changliang Technology is noted for its strong position in the stablecoin sector, having successfully sold its core systems overseas and established significant partnerships, particularly in Southeast Asia and Hong Kong [12] - The collaboration between Changliang Technology and Tencent is highlighted as a strategic advantage, with expectations for further developments in stablecoin initiatives [12]

Core Viewpoint - Jingbeifang is a leading financial technology service provider in China, expected to experience business growth beyond expectations due to the dual drivers of the accelerated implementation of the digital RMB national strategy and the deep integration of AI technology in the financial industry [1] Group 1: Over-Expectation Logic - Market expectations suggest that the advancement of digital currency is slow, and AI's application in the financial sector is also lagging, leading to a belief that these factors will not contribute to short-term performance [2] - The company believes that the pace of policy implementation is accelerating, with the digital currency rollout speeding up, as evidenced by the recent introduction of the stablecoin legislation in Hong Kong [2] - The company has established deep collaborations with banking clients and possesses full-stack service capabilities for digital currency, positioning it to benefit from the promotion of stablecoins [2] Group 2: Driving Factors - The rollout of stablecoins presents business opportunities, with the Hong Kong Legislative Council passing the "Stablecoin Ordinance" on May 21, 2025, indicating a shift in stablecoins from being mere connectors of crypto assets to becoming a new infrastructure for global financial payments [3] - Domestic large models are showing significant breakthroughs in cost and capability, leading to accelerated adoption in the banking sector, which directly benefits the company through private deployment and AI application demands [2][3] Group 3: AI Application and Product Launch - Domestic large models like Deepseek are rapidly being adopted in the financial sector due to their efficient performance, cost-effectiveness, and open-source nature, with banks prioritizing AI for various applications such as intelligent customer service and risk control [3] - The company has officially launched an AI large model service platform and four major products in 2024, catering to the private deployment and AI application needs of major state-owned and joint-stock commercial banks [3] Group 4: Performance Metrics and Catalysts - Key performance indicators include the implementation of stablecoin policy details, AI business orders, and the proportion of AI revenue [4] - Catalysts for growth include the implementation of stablecoin regulations, approval of licenses for tech giants, and the emergence of popular AI products [5] Group 5: Profit Forecast and Valuation - The company forecasts revenues of 5.147 billion, 5.685 billion, and 6.291 billion yuan for 2025-2027, with year-on-year growth rates of 11.01%, 10.46%, and 10.67% respectively, and net profits of 363 million, 416 million, and 472 million yuan, with growth rates of 16.34%, 14.63%, and 13.54% [6] - The company is compared with peers in financial technology and banking IT, with a projected PE of 44 times for 2025, while the average PE of comparable companies is 67 times, indicating a potential target stock price of 28.11 yuan, representing an upside of 54.39% [6]