Core Viewpoint - ZTE Corporation (00763) shares rose over 9%, with A-shares hitting the daily limit, driven by increasing demand for AI data centers and related technologies [1] Group 1: Company Performance - ZTE's stock increased by 9.16%, reaching HKD 29.32, with a trading volume of HKD 1.508 billion [1] - The company has been expanding its second curve business, including intelligent computing and AI terminals, with expectations that revenue from this segment will exceed 35% by Q1 2025 [1] Group 2: Industry Trends - The global AI development is accelerating, leading to a surge in demand for AI data center (AIDC) solutions [1] - New generation computing chips have significantly increased power consumption, raising the requirements for data center power systems and liquid cooling technologies [1] Group 3: Product Innovations - ZTE is developing a comprehensive data center solution for intelligent computing scenarios, introducing self-developed products such as immersion cooling, cold plate cooling, external cooling units, and modular air handling units [1] - The company is experiencing strong growth in server and storage revenue, with over 60% of orders coming from intelligent computing servers [1]

Core Insights - Qingdao is accelerating the construction of intelligent computing infrastructure to empower the transformation of the real economy and the upgrade of digital cities, forming a fertile ground for intelligent computing development driven by policies, scenarios, and ecosystem aggregation [1] - China Mobile Shandong is leveraging its technological capabilities and resource advantages to provide a one-stop solution for advanced manufacturing enterprises in Qingdao, supporting their needs in model development, deployment, and business integration [1][3] Group 1: AI Service Model - Shandong Mobile has developed a self-research computing management platform that dynamically allocates IT resources, providing efficient, flexible, and secure computing services to advanced manufacturing [3] - The introduction of technologies such as vGPU and computing super-splitting allows for elastic expansion and time-sharing of computing resources, reducing computing rental costs by over 40% [3] - The "Qilu Smart Gathering Platform" offers a one-stop MaaS service for small and medium-sized manufacturing enterprises, significantly lowering the entry barrier to AI [3] Group 2: Infrastructure and Resource Integration - Shandong Mobile is responding to the "Shandong Province Action Plan for High-Quality Development of Computing Infrastructure" by creating a new model for intelligent computing center construction and operation through government-enterprise collaboration and ecosystem co-construction [4] - The company provides high-power liquid-cooled cabinets and OTN dedicated networks to meet the high availability needs of large-scale AI computing platforms [5] - The overall scale of domestic computing resources provided by Shandong Mobile reaches 192P, supporting interconnectivity and resource complementarity with heterogeneous computing [5] Group 3: Regional Development and Future Outlook - The integration of "industry + communication + intelligent computing" is driving the demand for high-quality computing resources in key sectors such as intelligent manufacturing and industrial internet within Shandong [5] - The established computing platform has successfully served leading manufacturing enterprises like Haier and research institutions such as Harbin Institute of Technology, aiding in local industrial structure upgrades [5] - Looking ahead, Shandong Mobile aims to leverage its advantages in network quality, customer scale, and technological innovation to create an AIDC intelligent computing product and service ecosystem, further reducing AI usage costs for advanced manufacturing enterprises [5]

Core Viewpoint - The report highlights the financial performance and operational status of Hengwei Technology (Shanghai) Co., Ltd. for the first half of 2025, indicating a significant decline in revenue and profit compared to the same period last year, while emphasizing the company's strategic focus on network visualization and intelligent systems. Financial Performance - The total revenue for the first half of 2025 was approximately CNY 488.40 million, representing a decrease of 23.19% compared to CNY 635.89 million in the same period last year [3] - The total profit for the period was CNY 17.06 million, down 77.11% from CNY 74.55 million year-on-year [3] - The net profit attributable to shareholders was CNY 17.82 million, a decline of 75.16% from CNY 71.74 million in the previous year [3] - The basic earnings per share decreased by 75.41% to CNY 0.0556 from CNY 0.2261 [4] Industry Overview - The network visualization industry has evolved over the past decade, transitioning from basic operational analysis to intelligent management of data services, leveraging new technologies such as big data and IoT [6] - The industry is currently in a rapid growth phase, driven by the integration of AI and the increasing demand for intelligent operations in data centers and smart computing [6][7] - The company is recognized as one of the earliest entrants in the network visualization field, maintaining a leading position in technology and market share [6] Business Operations - The company's main business includes the development and provision of intelligent system solutions, focusing on network visualization and intelligent system platforms [7] - The network visualization business involves real-time data collection and analysis to enhance network management and security, while the intelligent system platform provides hardware and software solutions for various industries [8] - The company has expanded its product applications to intelligent computing centers, integrating network visualization with computing resource management [8] Strategic Focus - The company aims to leverage its technological expertise to enhance its offerings in the intelligent computing sector, particularly in the context of national strategies promoting domestic information technology and smart computing [11] - The focus on domestic information technology has led to partnerships with local chip manufacturers to develop competitive products and solutions [11] - The company is actively involved in the development of AI-integrated solutions, addressing the growing demand for intelligent systems across various sectors [12]

Core Viewpoint - The collaboration between China Mobile International and Hong Kong Cyberport aims to enhance Hong Kong's position as an international innovation and technology center through the deployment of the SJC2 submarine cable and AI+ smart financial solutions [1][4]. Group 1: SJC2 Submarine Cable - The SJC2 submarine cable, which is 10,500 kilometers long, is set to be operational by July 16, 2025, with a design capacity of 126 Tbps [3]. - The cable will serve as a core node in Hong Kong, extending its reach to other major countries and regions in the Asia-Pacific, significantly improving Hong Kong's status as a global digital hub [3]. - China Mobile has deployed the first commercial hollow-core fiber connecting Hong Kong and Shenzhen, achieving an industry-leading end-to-end latency of less than 1 millisecond [3]. Group 2: AI+ Smart Financial Solutions - The AI+ smart financial solutions leverage the low-latency connection provided by the SJC2 cable, integrating large models, intelligent algorithms, and edge computing to enhance financial institutions' capabilities in areas such as intelligent risk control, real-time trading, and smart customer service [3]. - This initiative aims to promote high-quality, low-cost development in digital finance [3]. Group 3: Collaboration with Hong Kong Cyberport - A memorandum of cooperation has been signed between China Mobile International and Hong Kong Cyberport to jointly build an AI ecosystem, facilitating the entry of mainland enterprises into Hong Kong and supporting Hong Kong tech companies in expanding globally [3][4]. - The collaboration is expected to create a highly efficient computing power system that supports more enterprises and aligns Chinese standards with global standards [6]. Group 4: Government Support and Future Goals - The Hong Kong government emphasizes the importance of the SJC2 cable and AI+ solutions in creating a super channel connecting global capital, data, and computing power [6]. - China Mobile aims to empower Hong Kong and the Greater Bay Area to become an international intelligent computing center, a financial technology hub, and an AI innovation center, injecting strong momentum into the development of new productive forces [6].

Core Insights - The rapid development of China's computing power industry is highlighted by significant advancements in infrastructure and technology, with a focus on high-quality development and strategic initiatives like the "East Data West Computing" project [1][4][9] - The demand for intelligent computing (智算) is surging, with its scale reaching 748 EFlops, accounting for 35% of the total computing power in China, and projected to grow to 1037.3 EFlops by 2025 [2][3] - The integration of computing resources across the nation is being prioritized to enhance accessibility and efficiency, with initiatives like the establishment of a national computing network and the "Computing Power Internet" [4][5][7] Industry Developments - The computing power infrastructure in China is expanding, with over 1,043 million standard computing racks in use, marking an 18.5% increase from 2024 [2] - Major telecom companies are enhancing their computing capabilities, with China Telecom's central computing center in Wuhan expanding by 2 EFlops to support AI applications [3] - The "East Data West Computing" initiative has seen the total computing power of eight major hubs reach 215.5 EFlops, with intelligent computing accounting for 80.8% of this total [3] Technological Advancements - The introduction of advanced technologies, such as liquid cooling, is significantly improving energy efficiency in data centers, with reductions in energy consumption by 50%-60% [8] - The deployment of high-capacity optical transmission networks is facilitating efficient computing resource allocation, with companies like China Mobile and China Unicom achieving significant advancements in network capabilities [6][7] Policy and Strategic Initiatives - The Chinese government is actively promoting policies to drive the integration of computing power and energy efficiency, aiming for a PUE value below 1.35 in existing data centers by 2027 [8] - The establishment of a national computing network and the "Computing Power Internet" is expected to enhance the efficiency of resource allocation and support over 7,000 computing entities in meeting demand [4][5]

Core Viewpoint - The company, as a leader in traditional servers and industrial IoT, possesses a first-mover advantage in AI-enabled industries, with rapid growth in intelligent computing business expected to exceed forecasts [1] Investment Highlights - The company is initiating coverage with a buy rating, predicting EPS of 1.05, 1.27, and 1.46 yuan for 2025-2027, and setting a target price of 88.51 yuan based on PS and PE valuation methods [2] - Traditional sectors are driven by technological and product innovation, while the emerging intelligent computing business is experiencing rapid growth, suggesting future performance may exceed expectations [2] - The company holds a leading position in the overall IoT solutions sector, with its three main traditional business segments covering industrial IoT, ICT infrastructure, and industry terminals, benefiting from a unique supply chain and customer resource advantage [2] - The company is expected to leverage significant policy and industry catalysts in large models and intelligent IoT, leading to substantial upgrades in traditional business segments and high growth in emerging intelligent computing [2] Core Logic - The establishment of the subsidiary Tengyun Intelligent Computing in early 2024 has opened new growth avenues, with the intelligent computing industry characterized by high growth potential and high gross margins, effectively driving a recovery in company performance [3] - Tengyun Intelligent Computing is positioned as a full lifecycle solution provider for AIGC large model computing infrastructure, having developed the AI supercomputing server SYS-8043, suitable for deep learning training and inference applications [3] - The company is expected to become a key supplier for AI computing center construction due to its advantages in GPU server delivery and computing power scheduling platform development, following the implementation of relevant policies in the intelligent computing center industry [3] - AI technology is driving product upgrades in traditional sectors, opening new market opportunities in industrial control machines and industrial robots [3] - The acceleration of technological innovation and domestic substitution in industrial robots enhances the company's competitive edge with its "AI + Robotics" integrated solutions, covering mobile robots, industrial arms, and humanoid robots [3] Catalysts - High growth in intelligent computing revenue and the continuous implementation of AI computing-related policies are expected to act as catalysts for the company's performance [4]

Group 1 - The Chinese public REITs market is moving towards diversified and deepened development, with the approval of the first two data center REITs marking a significant step in asset diversification [1] - The data center is recognized as the "heart of computing power" driving the digital economy, with increasing demand due to advancements in technologies like AI and 5G [1] - The introduction of data center REITs provides a standardized and market-oriented exit channel, encouraging social capital participation in the sector [1] Group 2 - The strategic investment by Shoucheng Holdings reflects a deep understanding of the value of digital economy infrastructure, focusing on long-term holdings of quality assets [2] - The company is actively involved in building the Chinese REITs ecosystem, transitioning from a financial investor to a key player in infrastructure value reconstruction [3] - The investment in data center REITs not only diversifies the company's portfolio but also enhances liquidity and value, supporting the securitization of the IDC industry [3]

Core Viewpoint - ZTE Corporation, a long-established ICT company, has successfully entered the AI sector, achieving notable recognition in AI reasoning competitions, particularly with its NebulaCoder-V6 model, which ranked first in the SuperCLUE reasoning leaderboard [2][4][6]. Group 1: ZTE's AI Strategy - ZTE has made significant investments in AI, recognizing its potential to transform the telecommunications industry, particularly with the advent of 6G technology [8][10]. - The company has established multiple AI-focused teams and research initiatives, including the Nebula large language model, to enhance its capabilities in AI infrastructure and applications [11][12]. - ZTE's internal operations have already integrated AI, with the Nebula model generating 1.5 billion tokens daily and contributing to 30% of the company's code generation [13][14]. Group 2: Nebula Model's Success - The Nebula model's success in the SuperCLUE competition is attributed to its efficient training optimization strategies, which include pre-training, supervised fine-tuning, and reinforcement learning [16][39]. - A novel knowledge graph construction method, DASER, was implemented to enhance the model's knowledge accuracy by addressing knowledge gaps and errors during pre-training [20][23]. - The supervised fine-tuning phase utilized critique learning to improve the model's understanding of complex instructions, resulting in higher accuracy in reasoning tasks [25][31]. Group 3: Transition from ICT to AI - ZTE's transition from an ICT giant to an AI-focused enterprise is facilitated by its extensive experience in data processing, system optimization, and engineering practices [44][46]. - The company possesses a unique advantage in integrating hardware and software capabilities, allowing it to effectively support the entire AI ecosystem, from hardware development to industry applications [47][48]. - ZTE's existing product ecosystem is undergoing AI transformation, which is expected to create significant market opportunities and accelerate technological advancements [48][49].

Group 1 - The core point of the article is that Lianhua Holdings (600186) announced a contract for the sale of four intelligent computing servers to Shenzhen Jieyi Technology Co., Ltd. for a total amount of 4.2 million RMB [1] - The transaction has been approved by the company's ninth board of directors' thirty-second meeting and does not require further approval from the shareholders' meeting [1] - The book value of the intelligent computing server assets as of June 25, 2025, is 3.5758 million RMB, indicating a significant markup on the sale price [1] Group 2 - The contract payment will be made in installments, consisting of a prepayment and remaining payments [1] - The warranty period for the equipment provided by the buyer is set at 21 months following the contract's effectiveness [1] - Shenzhen Jieyi Technology Co., Ltd. has a registered capital of 6.25 million RMB, with major shareholders being Han Yunheng and Shenzhen Renzhi Future Technology Partnership [1]

Core Insights - The computing power, as a core productivity driver, is leading a new wave of technological revolution and industrial transformation in the digital economy [1] - The emerging field of intelligent computing (智算) plays a crucial role in AI model training and inference, but faces structural imbalances in talent supply and demand due to rapid technological iterations and increasing international restrictions [1] - There is an urgent need to build a talent ecosystem for intelligent computing to support high-quality development and establish a solid talent foundation for the digital economy era [1] Talent Ecosystem Development - The industry requires a comprehensive talent ecosystem covering strategic decision-making, technical breakthroughs, scenario implementation, and capital operations [2] - Market research and analysis talent is essential for strategic decision-making, as significant investments in intelligent computing centers must be informed by accurate industry trend predictions to avoid rapid depreciation of assets [2] - Intelligent computing center design talent is needed to address the high power consumption of GPU servers and ensure flexibility in resource allocation while meeting carbon neutrality goals [2] Operational and Development Talent - IT networking and operations talent must adapt to the complexities of intelligent computing center operations, requiring skills in hardware debugging and algorithm optimization [2] - Scene development talent is necessary to explore and expand application scenarios beyond major internet companies, transforming abstract computing power into industry-specific solutions [3] - Financing and asset capitalization talent is crucial for managing the heavy asset nature and long return cycles of the intelligent computing industry, bridging the gap between demand and financial tools [3]