Group 1 - The company plans to jointly invest in a partnership named Jiaxing Yudao Digital Technology Equity Investment Partnership (Limited Partnership) with professional institutions, with a subscribed capital contribution of 15.45 million yuan, accounting for 59.9767% of the partnership [1] - The partnership will exclusively invest in Shi Shi Technology (Pinghu) Co., Ltd., with an investment amount of 25.76 million yuan, aimed at supporting the company's ongoing research and development, expanding the sales team, and supplementing working capital [1] - The target company provides computing power services, charging customers for computing power leasing and sales service fees [1]

7月，在太仓大数据产业园，世纪智联科技发展(苏州)有限公司算力中心项目宛如一条腾跃的巨龙，在 江苏银行21亿元绿色授信支持下，向着"长三角绿色算力新标杆"疾驰而去。此次合作是"绿色动 力"与"算力引擎"的双向奔赴，项目总投资30亿元，江苏银行提供21亿元授信，为项目推进注入强动 能。 "项目体量大、技术新、工期紧，对金融服务提出了很高的要求。"世纪智联项目负责人介绍，江苏银行 苏州分行了解公司需求后第一时间组建"绿色特战队"，为项目量身定制绿色金融服务方案，开辟专属绿 色审批通道，尽调、审批、投放一气呵成，为项目如期开工争取了宝贵时间。目前，该行首批4.2亿元 授信资金已精准滴灌到项目一线，后续资金将随建设脉搏同步脉动，确保这座数字巨舰如期启航、满帆 远航。 值得一提的是，这笔授信创新采用"绿色项目认定+差异化授信"双轨模式，贷款定价更优、期限更长、 担保更活、融资成本更低，成为绿色算力中心项目金融服务的"样板间"。该项目也是江苏银行发力数字 新基建的缩影，近年来该行持续加大对绿色算力、数据中心、5G基站等新基建领域的支持力度，围绕 项目建设运营全生命周期，提供包括绿色信贷、绿色债券、绿色租赁、碳资产管理等在 ...

优刻得是国内领先的云计算服务平台，具备自主可控的全栈式云服务能力，涵盖IaaS、PaaS、MaaS， 自有内蒙古乌兰察布与上海青浦两大数据中心，并打造了完善的算力资源管理调度平台及AI大模型训 练部署服务，具备全球范围的云服务全流程设计与交付能力。 本次立昂技术旗下子公司立昂云数据与优刻得达成战略合作，将进一步深化双方AI算力资源的整合能 力与产业应用的创新能力。合作聚焦两大方向： 7月31日，立昂技术股份有限公司（以下简称"立昂技术"）旗下子公司立昂云数据有限公司（以下简 称"立昂云数据"）与优刻得科技股份有限公司（以下简称"优刻得"）正式签署战略合作协议。双方将围 绕AI算力产业集群建设、行业大模型开发及算力资源整合展开深度合作，共同打造智能算力平台与行 业解决方案。 图片来源：企业供图 立昂技术旗下子公司立昂云数据华南区总经理张宇豪与优刻得副总裁刘奇代表双方签署协议，优刻得董 事长兼CEO季昕华、立昂云数据执行董事王子璇出席并见证签约仪式。 立昂技术旗下子公司立昂云数据作为创新智能算力服务商，以 "算力+算法+应用" 为核心战略，依托自 有算力中心及立昂领算云算力平台，已构建起完整的 GPU/CPU 云 ...

Group 1: Economic Strategy and Banking Support - The Central Political Bureau meeting emphasized the need for banking institutions to enhance financial support for domestic demand and foreign trade, focusing on small and micro enterprises, private enterprises, and rural markets [1] - Banks are encouraged to provide diversified and precise financial services to help businesses alleviate difficulties and stimulate market vitality [1] Group 2: Consumer Demand and Financial Innovation - Agricultural Bank of China has implemented a "one-stop" online consumption service that combines government subsidies and credit card installment discounts to enhance consumer experience [2] - The "old-for-new" consumption policy has driven sales of 2.9 trillion yuan, benefiting approximately 400 million people, indicating a significant release of domestic demand potential [3] Group 3: Support for Emerging Industries - The Central Political Bureau highlighted the importance of technological innovation in fostering new competitive industries, requiring banks to innovate financial services tailored to tech enterprises [4] - Customized credit solutions are necessary to lower financing barriers for tech companies, with a focus on providing comprehensive financial products throughout different stages of their development [4] Group 4: Foreign Trade Resilience - Despite a complex external environment, China's foreign trade showed resilience with a total import and export value of 21.79 trillion yuan in the first half of the year, a 2.9% increase year-on-year [6] - The government aims to expand high-level opening up and stabilize the foreign trade and foreign investment landscape, promoting quality trade development and enhancing international cooperation [6][7] Group 5: Cross-Border Financial Services - The restructuring of the global economic landscape presents both challenges and opportunities for China's foreign trade, necessitating enhanced trade finance support and the exploration of new international markets [7] - Customized guarantee services have been provided to companies like Yantai Jereh Petroleum Service Group to support their overseas projects, demonstrating the growing demand for cross-border financial services [7]

Core Insights - The company, Bianxing Technology, announced its operational cooperation models for computing power resources, including external procurement and co-construction models [1] - The company has integrated various types of domestic chip computing power resources into its service platform, providing related technical services [1] - The utilization rate of the company's own GPU computing power resources is reported to be between 85% and 90% [1] - A strategic partnership with Alibaba Cloud was revealed, which includes co-building a domestic computing power center, jointly operating a public cloud zone, and promoting industry large models [1]

Core Insights - The company reported that its own GPU computing resource utilization rate is between 85% and 90% [1] Group 1: Company Operations - The company introduced its computing resource construction and operation cooperation models, which include external purchase and co-construction models [1] - The company has tested and validated the integration of various types of domestic chip computing resources through a service integration platform, providing related technical services [1] Group 2: Strategic Partnerships - The company disclosed its strategic cooperation with Alibaba Cloud, which includes co-building a domestic computing center, jointly operating a public cloud area, and promoting industry large models together [1]

新京报贝壳财经讯（记者黄鑫宇）今年春节期间DeepSeek推出的DeepSeek-V3及推理版本 R1火爆出 圈，其以仅600万美元的训练成本达到与OpenAI媲美的性能，成本优势显著。在此带动下，A股市场算 力板块大幅飙升。被称为"北交所算力服务第一股"的并行科技（即北京并行科技股份有限公司； 839493.BJ），在2月中更是创下10个交易日里涨幅接近4倍的纪录。 半年报显示，2025年5月27日，并行科技与阿里云在北京正式签署框架合作协议，双方将围绕国产算力 中心共建、公共云算力生态打造、大模型行业应用落地三大方向展开深度合作，联合推动国产化算力基 础设施创新与人工智能技术在科研、教育及产业场景的规模化落地，共同探索算力普惠与AI协同的新 生态。 公开资料显示，并行科技成立于2007年，于2023年11月登陆北交所，是全A股市场中首家提供专业算力 服务的上市公司。今年一季度，并行科技实现营业收入1.98亿元，同比增长51.68%；实现归母净利润约 为359.40万元，同比增长43.77%。 另一方面，半年报显示，截至2025年6月末，并行科技的资产负债率（合并）为78.37%，较上年同期的 69.56% ...

Core Viewpoint - The 2025 World Artificial Intelligence Conference (WAIC2025) highlighted the importance of user-centric computing power services and the mismatch in the current market for computing power [1] Group 1: Industry Insights - The chairman of Parallel Technology, Chen Jian, emphasized that having computing power does not guarantee sales, indicating a significant mismatch in the market [1] - Parallel Technology differentiates between computing power services and computing power leasing, with the former focusing on business needs rather than the specifics of computing power [1] - The long-term goal of Parallel Technology is to provide on-demand computing power, ensuring users do not need to consider the location of the computing resources when they require them [1]

Core Insights - The company, Parallel Technology, reported significant growth in its 2025 semi-annual report, with operating revenue reaching 458 million yuan, a year-on-year increase of 69.3% [1] - The net profit attributable to shareholders was 5.08 million yuan, up 20% year-on-year, while the net profit after deducting non-recurring gains and losses was 4.51 million yuan, reflecting a 19.5% increase [1] - The basic earnings per share were 0.09 yuan, representing a year-on-year growth of 28.57%, and the net operating cash flow was 39.26 million yuan, up 323% [1] Business Development - The company focuses on computing power services as its core business, deepening collaborations with various computing resource providers, including national supercomputing centers and telecom operators [2] - It aims to expand its computing resource pool through joint cluster construction, providing secure, user-friendly, and cost-effective supercomputing cloud services to support China's scientific research [2] - The company enhances its infrastructure design and implementation capabilities for large-scale training scenarios, optimizing support library components to deliver high-performance computing power [2] Strategic Partnerships - On May 27, the company signed a framework cooperation agreement with Alibaba Cloud to jointly develop domestic computing power centers and create a public cloud computing ecosystem [3] - The collaboration focuses on the large-scale application of AI technologies in research, education, and industry, exploring new ecosystems for computing power accessibility and AI synergy [3] - The company also integrated the Zhiyu open-source GLM-Z1 series inference models into its MGaS platform to provide more efficient intelligent solutions [3] Asset Acquisition - The company announced plans to purchase AI computing power servers, storage, and switch equipment from Shandong Zhengyun Information Technology Co., Ltd., with a total procurement amount not exceeding 71.5 million yuan [4] - The acquisition is aimed at expanding the company's self-owned computing resource pool, with the equipment being essential for normal production operations [4]

Core Viewpoint - Jinlong Co., Ltd. is shifting its focus from traditional brokerage business to computing power services, driven by continuous losses and debt pressure, with plans to acquire a 29.31% stake in Shenzhen Benmao Technology Co., Ltd. to facilitate this transition [2][3][4]. Group 1: Financial Performance - Jinlong Co., Ltd. has reported losses for four consecutive years, with total losses exceeding 900 million yuan from 2021 to 2024, including losses of 1.31 billion yuan in 2021, 3.92 billion yuan in 2022, 3.84 billion yuan in 2023, and 890 million yuan in 2024 [5][6]. - The company's debt-to-asset ratio has remained high, reaching 81.09% by the end of 2024, with overdue debts exceeding 700 million yuan [5][6]. - The recent sale of a 20% stake in Dongguan Securities generated 2.271 billion yuan, which helped Jinlong Co., Ltd. achieve a profit of 105 million to 153 million yuan in the first half of the year [5]. Group 2: Strategic Shift - The acquisition of Shenzhen Benmao is seen as a necessary step for Jinlong Co., Ltd. to find new growth points and reduce reliance on traditional brokerage operations [4][6]. - The computing power sector is experiencing significant growth due to favorable policies, market demand, and technological innovations, making this acquisition timely for Jinlong Co., Ltd. to capitalize on industry trends [4][6]. - The company plans to invest up to 1 billion yuan in building computing power centers in collaboration with other partners, although progress on this project has not been disclosed [3][4]. Group 3: Market Conditions - The computing power market is currently facing challenges, including overcapacity and idle resources, which may pose risks for new entrants like Jinlong Co., Ltd. [4][6]. - Experts suggest that the acquisition may require substantial cash or increased debt, raising concerns about the company's financial flexibility and operational sustainability [6].