Investment Rating - The industry investment rating is "Outperform the Market," indicating that the industry index is expected to perform better than the benchmark index over the next 6-12 months [11]. Core Insights - The report highlights the launch of Huawei's Ascend 384 super node, which represents a shift in the domestic AI industry from a chip-centric approach to a system-coordinated optimization strategy. This development showcases the robust growth momentum of the domestic computing power industry chain [3][6]. - The Ascend 384 super node, consisting of 12 computing cabinets and 4 bus cabinets, integrates 384 Ascend 910C NPUs and 192 Kunpeng CPUs, achieving a theoretical performance close to twice that of NVIDIA's GB200 NVL72. It provides 300 PFLOPS of BF16 computing power, addressing the bottlenecks in large model training through high-speed interconnect technology [3][6]. - The report emphasizes the strong order fulfillment capability of the Ascend platform, which has been widely applied in high-computing scenarios across various sectors, including finance, power, transportation, and government [3][6]. Summary by Sections Industry Development Trends - The report notes that the domestic AI computing power industry is expanding, driven by the increasing demand for controllable AI infrastructure amid high-end chip shortages and export restrictions. The success of the Ascend 384 super node demonstrates the feasibility of achieving a closed-loop in the domestic computing power industry chain [3][6]. Investment Recommendations - The report suggests prioritizing investments in the domestic AI computing power network infrastructure, focusing on telecom operators such as China Mobile, China Telecom, and China Unicom, as well as server and switch equipment manufacturers like ZTE, Unisoc, Inspur, and Ruijie Networks [3][6]. Market Dynamics - The report indicates that significant investments from major players like Alibaba, which plans to invest over 380 billion yuan in cloud computing and AI hardware infrastructure over the next three years, will open up larger market opportunities for domestic computing power solutions [3][6].

Key Insights - The July Politburo meeting emphasized the need to consolidate the economic recovery while addressing prominent issues such as boosting consumption and breaking the cycle of internal competition, which is crucial for promoting domestic and international dual circulation [2][3] - The meeting highlighted the importance of accelerating the cultivation of emerging pillar industries and advancing high-quality urban renewal, avoiding the old path of debt-driven growth [2][3] - The upcoming 14th Central Committee meeting in October will focus on drafting the 15th Five-Year Plan, which is seen as pivotal for achieving the long-term goal of socialist modernization [2][11] Macroeconomic Analysis - The meeting acknowledged the strong performance of the economy in the first half of the year, with GDP growth reaching 5.3%, and emphasized the need for a bottom-line thinking approach to safeguard employment and livelihoods [3][4] - The macroeconomic policy is set to maintain continuity and stability while enhancing flexibility and foresight, indicating that supportive policies will continue to be implemented [13][20] - The focus on fiscal policy will be on timely and effective implementation, with an emphasis on increasing the efficiency of fund usage and accelerating the issuance of government bonds [4][19] Real Estate Sector - The importance of urban renewal was reiterated, with a focus on high-quality implementation in line with the Central Urban Work Conference's spirit [26][28] - The transition of urbanization from rapid growth to stable development is expected to enhance the role of urban renewal as a key driver for improving living conditions and urban quality [27][28] - The potential for city renovation projects, particularly in urban villages and dilapidated housing, is anticipated to stimulate housing demand and improve the overall real estate market [27][28] Investment Strategy - The A-share market is expected to experience a gradual rise amid increasing volatility, driven by favorable policies, moderate economic recovery, and the upcoming mid-year performance reports [31][32] - Investment recommendations include focusing on sectors such as technology, consumption, and cyclical stocks, particularly those with strong value propositions [31][32] - The emphasis on new quality productivity and the potential for structural reforms in the economy are seen as key areas for investment opportunities [31][32]

Group 1: Stock Recommendations - The report recommends 10 stocks and 3 ETFs based on a top-down approach for August allocation [1] - Lu'an Huanneng is highlighted for its high spot coal ratio, significant earnings elasticity, and low PB valuation [1][8] - Huayou Cobalt benefits from integrated layout advantages, stable incremental profit from wet nickel production, and a significant decrease in cobalt imports in June [1][8] - Geely Automobile's privatization of Zeekr will enhance resource integration and decision-making efficiency, with an adjusted annual sales target of 3 million vehicles [2][8] - Cambrian is positioned to benefit from the increasing demand for AI chips and has plans for hardware and software platform development [2][8] - SMIC is advancing in domestic computing capabilities with improved yield rates and is expected to benefit from the semiconductor cycle [2][8] - North Navigation is a leader in the long-range fire industry, experiencing rapid demand recovery and implementing stock incentives [3][8] - Shengquan Group is a leading supplier in high-frequency resin, expected to see rapid growth due to PCB industry demand [3][8] - CITIC Securities is well-positioned in the financial sector with a solid market position and ample IPO reserves [3][8] - Jiao You International focuses on cross-border mineral logistics, particularly in Africa, ensuring efficient and secure transportation [3][8] - China Jinmao has made significant impairment provisions and is on track to meet its sales target [4][8] Group 2: ETF Recommendations - Recommended ETFs include Military Industry ETF, TMT ETF, and Chemical ETF, reflecting sectoral strengths [4][10] - The Military Industry ETF has a total net value of 171.45 billion yuan with a year-to-date growth rate of 14.33% [10] - The TMT ETF shows a year-to-date growth rate of 12.27% and a total net value of 5.02 billion yuan [10] - The Chemical ETF has a total net value of 33.81 billion yuan with a growth rate of 9.22% [10] Group 3: Financial Data Highlights - Lu'an Huanneng's EPS is projected to be 0.65 yuan in 2025, with a PE ratio of 23 [9] - Huayou Cobalt's EPS is expected to rise to 3.11 yuan in 2025, with a PE ratio of 15 [9] - Geely Automobile's EPS is forecasted at 1.61 yuan in 2025, maintaining a PE ratio of 11 [9] - Cambrian is projected to have an EPS of 3.04 yuan in 2025, with a high PE ratio of 234 [9] - SMIC's EPS is expected to reach 0.64 yuan in 2025, with a PE ratio of 144 [9] - North Navigation's EPS is projected at 0.17 yuan in 2025, with a PE ratio of 104 [9] - Shengquan Group's EPS is expected to be 1.53 yuan in 2025, with a PE ratio of 21 [9] - CITIC Securities is projected to have an EPS of 1.56 yuan in 2025, with a PE ratio of 19 [9] - Jiao You International's EPS is expected to be 1.49 yuan in 2025, with a PE ratio of 8 [9] - China Jinmao's EPS is projected at 0.12 yuan in 2025, with a PE ratio of 11 [9]

Group 1: Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) highlighted the importance of domestic computing power breakthroughs and parallel optimization technologies for the AI industry's high-quality development [1][2] - Experts emphasized the need for collaboration between hardware and software to enhance the efficiency of domestic computing power, with a focus on developing a universal algorithm library and toolchain [2][6] - The integration of AI with industry knowledge is driving transformative applications in sectors like pharmaceuticals and energy, showcasing significant improvements in research and development efficiency [3][4] Group 2: Domestic Computing Power - Domestic supercomputing platforms such as Sunway, Dawning, and Tianhe are capable of supporting large model development, but face challenges related to storage, scalability, and energy efficiency [2] - The need for heterogeneous capabilities in domestic computing power was highlighted, particularly in supporting multi-precision calculations and accelerating the development of operator libraries [2][3] Group 3: Industry Applications - AI is being applied across various verticals, with notable examples in biomedicine where AI enhances the value of vast biomedical data, significantly shortening R&D cycles and reducing costs [3] - In the energy sector, innovations like the iron-chromium flow battery model have integrated 15 years of material data to optimize electrolyte formulations and improve operational efficiency [3] Group 4: Parallel Optimization - Parallel optimization technology is seen as a core engine for the era of super-intelligence, with potential performance improvements of up to 20 times through effective optimization techniques [6] - The concept of "AI for Parallel Programming" is being explored to lower the development barriers for scientific computing [6] Group 5: Ecosystem Development - The call for collaboration among industry partners to build an open and win-win AI ecosystem was emphasized, with a consensus that domestic computing power and industry models are driving China’s AI industry from a follower to a leader position [4][6] - The dialogue showcased the confidence and ambition of Chinese tech companies in the global AI competition, with ongoing evolution in computing power, algorithms, and data expected to accelerate the integration of AI across various industries [4][6]

Core Insights - The 2025 World Artificial Intelligence Conference showcased significant advancements in domestic computing power, highlighting the importance of these innovations for accelerating AI applications [1][2] - Industry experts believe that 2023 is a pivotal year for the comprehensive promotion of domestic computing power software and hardware, transitioning from isolated breakthroughs to widespread application [1] Group 1: Domestic Computing Innovations - The Ascend 384 super node, consisting of 16 cabinets, was recognized as a "treasure of the museum" and represents Huawei's major achievement in computing infrastructure, featuring the industry's largest 384-card high-speed bus interconnection [1] - Over 80 large models have been developed based on the Ascend architecture, including applications in various sectors such as finance, healthcare, and transportation [1] Group 2: GPU Developments - Domestic GPU companies showcased impressive products, including the debut of the Xiyun C600 GPU by Muxi, which integrates large-capacity storage and mixed-precision computing, targeting key sectors like finance and government [2] - Moore Threads presented application cases in life sciences and physical simulation, demonstrating the broad application prospects of domestic GPUs in AI infrastructure [2] Group 3: Processor Advancements - The new generation of the Haiguang C86 terminal was launched, covering diverse needs across various industries, marking a breakthrough for domestic computing terminals [3] - The Longxin 3C6000 processor was released, designed to meet multiple computing demands without relying on foreign technologies, emphasizing China's self-reliance in processor development [3] Group 4: Ecosystem Development - The Ministry of Industry and Information Technology highlighted the rapid enhancement of domestic capabilities, with a focus on products based on the self-developed Dragon architecture [4] - The Haiguang ecosystem has over 5,000 partners collaborating on technology development and market expansion, forming a complete closed loop from chips to application services [4]

Core Insights - The 2025 World Artificial Intelligence Conference showcased the importance of computing power as the foundation of artificial intelligence, with various domestic chip and server suppliers participating to highlight the localization of computing power [1][2] - Major hardware manufacturers like Huawei and Sugon presented their latest computing solutions, including Huawei's "Ascend 384 Super Node," which is the largest in the industry, and Sugon's "Large-Scale Intelligent Computing Cluster" aimed at addressing key industry bottlenecks [1][2] - The event featured over 20 AI chip companies, with significant advancements in integrated training and inference machines, as well as cloud solutions that enhance the accessibility and efficiency of AI applications [2] Group 1 - Computing power is recognized as the cornerstone of AI, with a focus on domestic chip and server suppliers at the conference [1] - Huawei unveiled the "Ascend 384 Super Node," which consists of 12 computing cabinets and 4 bus cabinets, representing the largest scale in the industry [1] - Sugon introduced its "Large-Scale Intelligent Computing Cluster," which aims to tackle high computing costs, insufficient data efficiency, and challenges in practical application [1] Group 2 - The exhibition featured a strong presence of AI chip companies, including Moore Threads and others, showcasing their latest innovations [2] - The "Integrated Training and Inference Machine" was a highlight, with significant improvements in computing and data transmission efficiency [2] - Baidu demonstrated its self-developed 30,000-card cluster and the "百舸 AI Heterogeneous Computing Platform," promoting the widespread adoption of domestic computing power [2]

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]

Group 1: Investor Relations Activities - The company conducted a specific investor survey on July 29, 2025, at the company meeting room, attended by Zhongyou Securities and the board secretary, Mr. Shi Jianwei [3][4]. Group 2: Computing Resource Acquisition Models - The company acquires computing resources through two main models: external purchase agreements with upstream suppliers and a co-construction model where the company builds its own computing clusters [4]. - The co-construction model allows the company to rent and use data center facilities to provide proprietary computing resources to downstream clients [4]. Group 3: Domestic Computing Resource Utilization - The company’s domestic computing resource usage is categorized into several application scenarios, with the highest demand for "basic large model training" and "mainstream large model inference" [5]. - The company has integrated various domestic chip computing resources into its platform, supported by a team of engineers for installation and optimization [5]. Group 4: Computing Resource Utilization Rate - The utilization rate of the company's proprietary GPU computing resources is currently between 85% and 90% [6]. Group 5: Strategic Cooperation with Alibaba Cloud - The strategic cooperation with Alibaba Cloud focuses on three main areas: building domestic computing centers, co-developing public cloud services, and promoting industry large models [7][8]. - The partnership aims to create a closed-loop system of "co-construction, sharing, and promotion" to enhance resource efficiency and commercial value [8]. Group 6: Shareholder Reduction Plans - The major shareholder, Qingkong Yinxing Nantong Venture Capital Fund, has completed its planned share reduction, and future decisions on further reductions will depend on various factors including market conditions [9]. Group 7: Gross Margin Decline in Intelligent Computing Cloud Business - The gross margin of the intelligent computing cloud business has declined due to factors such as product demand differences, resource allocation, and market competition [10]. - The revenue share from general cloud and industry cloud services has decreased, while the share from intelligent computing cloud services has increased, affecting overall gross margin [10].

| 该指数由科创板中市值大、流动性 | 今日 | 该指数 | 该指数自 | | --- | --- | --- | --- | | 好的50只股票组成, "硬科技"龙 | 该指数涨跌 | 滚动市盈率 | 发布以来1 | | 头特征显著,半导体占比超60%, | | | | | 与医疗器械、软件开发、光伏设备 | 1.5% | 146. 1倍 | 99 | | 行业合计占比超75% | | | | 今日科创板再度走高，盘面上，半导体方向强势发力，创新药、CPO概念股表现活跃。截至收盘，上证科创板成长指数上涨2.3%，科创100指数上涨1.9%， 科创综指上涨1.8%，上证科创板50成份指数上涨1.5%。Wind数据显示，科创板50ETF（588080）昨日获2.4亿元资金加仓，最新规模达677亿元、再次创下年 内新高。 广发证券研报称，目前最值得关注的是科创板，背后是国产算力（科创芯片等）、AI应用等前期滞涨方向有望在行业轮动中重新获得资金青睐。 | 今日 | 该指数 | 该指 | | --- | --- | --- | | 该指数涨跌 | 滚动市盈率 | | | 1.8% | 233.4倍 | 2025年1 ...