Core Insights - The 10th Xiamen Patent Award has recognized four outstanding companies in Huli District, showcasing the region's strong technological innovation capabilities [1] - Keda Data Co., Ltd. won the special award for its core patent related to battery devices and power supply systems, while Xiamen Golden Dragon Bus Co., Ltd. received the gold award for the design of its autonomous bus [1][2] - The Huli District Market Supervision Administration has played a crucial role in supporting these innovations through effective services and policies [1][3] Company Highlights - Keda Data's core technology has achieved breakthroughs in lithium battery integration design, safety protection, and flexible architecture, reaching an international advanced level [2] - The patented technology has addressed common industry challenges such as safety risks and power supply reliability, generating an economic benefit of up to 1.8 billion yuan over the past three years [2] - Xiamen Golden Dragon's "Star" autonomous bus is the first L4 level autonomous bus in China with complete independent intellectual property rights, featuring innovative design and technology [2] Industry Support and Development - The Huli District Market Supervision Administration has implemented targeted guidance and support for high-value patents, including expert teams for one-on-one assistance [3] - The administration has established diagnostic groups to address intellectual property challenges faced by companies during research and transformation [3] - Continuous efforts to enhance service efficiency include regular policy briefings and strategic decision-making support for companies [3][4]

| 代码 | 名称 | 收盘价 | 涨跌幅 | 成交量(手) | 成交额(元) | | | --- | --- | --- | --- | --- | --- | --- | | 0023335 | 科华数据 | 41.20 | -3.51% | 18.72万 | | 7.77亿 | | 601727 | 上海电气 | 8.00 | -3.50% | 377.50万 | | 30.20亿 | | 300870 | 欧陆通 | 129.97 | -3.50% | 3.92万 | | 5.17亿 | | 600875 | 东方电气 | 20.35 | -3.37% | 92.84万 | | 19.12 乙 | | 002364 | 中恒电气 | 16.25 | -3.27% | 35.73万 | | 5.82亿 | | 600212 | 绿能慧充 | 9.20 | -2.95% | 27.43万 | | 2.53亿 | | 300713 | 英可瑞 | 17.95 | -2.66% | 4.18万 | | 7553.16万 | | 301590 | 优优绿能 | 153.15 | -2.44% | 9915.25 ...

Core Insights - The forum focused on the development trends of computing power infrastructure in the AI era, emphasizing the importance of collaboration and innovation for high-quality development in the AI industry [1][2]. Group 1: Forum Highlights - The forum was guided by the World Artificial Intelligence Conference Committee and featured discussions on key topics such as technological innovation paths and industry ecosystem collaboration [1]. - Shanghai's commitment to becoming a global digital hub was highlighted, with a focus on accelerating the layout of new-generation information infrastructure [1]. Group 2: Company Initiatives - Kehua Data's President emphasized the role of computing power infrastructure as a core engine for industrial intelligent transformation, leveraging nearly 40 years of experience in power electronics and over 10 years in data center operations [2]. - The company aims to provide comprehensive scenario-based computing power service solutions, focusing on green energy to drive a smart future [2]. Group 3: Product Launch - Kehua Data launched the Computing Power Platform V2.0, which integrates a nationwide management and scheduling system for diverse computing power resources across four major intelligent computing clusters [3]. - The platform aims to enhance the delivery capability across various industry applications by connecting technology, ecosystem, and scenario value dimensions [3]. Group 4: Strategic Collaborations - The forum included multiple signing ceremonies for strategic partnerships with various companies in the AI and IT service sectors, aiming to build a more comprehensive AI industry ecosystem [4]. - These collaborations reflect industry recognition of Kehua Data's technological strength and service capabilities, laying a solid foundation for future innovations and commercial applications in the AI sector [4]. Group 5: Expert Discussions - A roundtable discussion addressed the evolution and innovative practices of computing power infrastructure in the AI era, focusing on industry pain points, technological trends, and business models [4]. - Participants shared valuable insights and practical wisdom on the effective application of AI technologies in real-world scenarios [4].

Core Insights - The forum highlighted the importance of diverse computing power infrastructure in driving the large-scale implementation of artificial intelligence [1][6] - Shanghai is actively implementing national strategic deployments to accelerate the development of new-generation information infrastructure, aiming to become a globally influential "International Digital Capital" [1] - Keda Data emphasizes its core competencies in power electronics and data center experience to provide comprehensive solutions from planning to intelligent operation [1][3] Group 1: Key Developments - Keda Data's Senior Vice President presented five characteristics and challenges of computing power deployment in the AI era, along with three core capabilities of their infrastructure [3] - The newly launched Computing Power Platform V2.0 integrates diverse computing resources across four major intelligent computing clusters, enabling various industry applications [5] - The forum included multiple strategic partnership signings with companies across AI chips, software algorithms, cloud computing, and research institutions, reinforcing Keda Data's technical strength and service capabilities [5][6] Group 2: Future Directions - Keda Data aims to deepen collaboration with industry partners to accelerate the construction of efficient, green, and open computing power infrastructure [6] - The forum showcased innovative achievements in modular intelligent computing rooms and liquid cooling systems, emphasizing the critical role of reliable computing power infrastructure in AI development [6]

Group 1 - The latest stock price of Kehua Data is 42.70 yuan, an increase of 0.80% compared to the previous trading day [1] - The stock reached a maximum of 42.73 yuan and a minimum of 40.68 yuan during the trading session, with a total transaction amount of 1.199 billion yuan [1] - Kehua Data operates in the power equipment industry, focusing on data centers, renewable energy, and smart power solutions [1] Group 2 - At the 2025 World Artificial Intelligence Conference, Kehua Data showcased its computing power infrastructure solutions tailored for AI scenarios, including megawatt-level power supply technology and innovative data center solutions [1] - As of July 29, Kehua Data experienced a net outflow of main funds amounting to 25.4253 million yuan, representing 0.13% of its circulating market value [1] - The turnover rate on that day was 6.32%, indicating active market trading [1]

通过天眼查大数据分析，科华数据股份有限公司共对外投资了48家企业，参与招投标项目3568次，知识 产权方面有商标信息130条，专利信息1332条，此外企业还拥有行政许可35个。 科华数据最新一期业绩显示，截至2025一季报，公司营业总收入12.16亿元、同比增长2.73%，归属净利 润6894.43万元，同比减少6.26%，扣非净利润6118.12万元，同比增长2.06%，流动比率1.287、速动比率 1.116、资产负债率51.83%。 天眼查商业履历信息显示，科华数据股份有限公司，成立于1999年，位于厦门市，是一家以从事电气机 械和器材制造业为主的企业。企业注册资本51541.4041万人民币，实缴资本46156.7391万人民币。公司 法定代表人为陈成辉。 金融界消息 截至2025年7月29日收盘，科华数据（002335）报收于42.7元，上涨0.8%，换手率6.32%， 成交量28.74万手，成交金额11.99亿元。 资金流向方面，今日主力资金净流出2542.53万元，占比成交额2.12%。其中，超大单净流入1035.18万 元、占成交额0.86%，大单净流出3577.71万元、占成交额2.99%， ...

Investment Rating - The report maintains an "Accumulate" rating for the industry, specifically in the power equipment sector [5]. Core Insights - The intelligent computing center industry is experiencing rapid expansion driven by a combination of policy support, local government initiatives, and surging market demand. The investment scale in China's intelligent computing center market reached 87.9 billion yuan in 2023, representing a year-on-year growth of over 90%. It is projected to reach 288.6 billion yuan by 2028 [1][20]. - Local governments and basic telecom operators are the primary participants in the construction of intelligent computing centers, accounting for over 50% of the projects in operation, under construction, or planned as of August 2024. Internet and cloud service providers contribute approximately 17.7% of the projects [20][21]. Summary by Sections 1. Demand Driven Growth in AIDC - The investment scale of intelligent computing centers is significantly increasing due to the resonance of policy support and the demand for large models. The rapid growth in data volume driven by large model applications is pushing the intelligent computing center into an expansion phase [16][17]. - Major telecom operators and internet companies are ramping up their investments in computing power. For instance, China Mobile plans to invest 37.3 billion yuan in computing power, which will constitute 25% of its capital expenditure in 2025 [2][27]. 2. Evolution of Data Center Power Supply Architecture - The current power supply systems in data centers primarily utilize UPS, but there is a gradual shift towards HVDC and Panama power systems. HVDC systems offer significant advantages in reliability, efficiency, and economic viability compared to traditional UPS systems [3][26]. - The Panama power system demonstrates clear advantages in investment costs and operational efficiency, achieving a conversion efficiency of 97% [3][26]. 3. Future Trends in Power Supply Architecture - The transition towards medium and high voltage power supply systems is becoming a trend, with a focus on high-density and energy-efficient solutions in the AIDC era [3][38]. - The report suggests that companies like Kehua Data and Kstar, as well as leaders in HVDC and Panama power systems like Zhongheng Electric, are well-positioned to benefit from the increasing capital expenditures by internet companies [4][38].

Investment Rating - The investment rating for the AIDC power equipment and grid industry is "Outperform the Market" (maintained) [1] Core Viewpoints - The global AI computing load is expected to grow significantly, with new AI computing loads projected at 9.7/15.9/20.2/22.3/23.4/24.6 GW from 2025 to 2030, leading to a corresponding increase in demand for AIDC power equipment [5][13] - The domestic data center industry is expected to see substantial capital expenditure growth, with major cloud providers anticipated to ramp up investments, particularly in AI infrastructure [18][24] - The industry is characterized by a long power transmission chain, with established global players like Eaton and Schneider Electric dominating, while domestic companies are gaining competitive advantages in various segments [5][13] AIDC Power Equipment Summary - The demand for AIDC power equipment is projected to reach 29/48/60/67/70/74 GW from 2025 to 2030, with an average annual growth rate of 20% [5][13] - The market space for dry-type transformers, medium and low voltage switchgear, UPS, HVDC, and solid-state transformers is expected to reach 85/341/41/380/239 billion yuan by 2030 [5][12] - Recent performance in the AIDC power equipment sector has shown significant gains, particularly in transformers and switchgear, with notable stock performances from companies like TBEA and XWDA [5][28] Grid Industry Summary - National power engineering investment reached 1,057 billion yuan in June 2025, a year-on-year increase of 22.5% [32] - The grid engineering investment for the same period was 871 billion yuan, reflecting a year-on-year growth of 4.1% [33] - The bidding results for the State Grid's transformer equipment showed a total bid amount of 211.89 billion yuan, a year-on-year increase of 38.1% [61] - The focus for the grid industry includes high voltage orders and the development of new business models such as virtual power plants and green electricity direct supply [5][55]

Investment Rating - The industry investment rating is "Overweight" [5] Core Insights - The report discusses the IDC industry, focusing on demand measurement and valuation from a quantitative perspective, highlighting the importance of AI servers as core equipment in IDC [1][14] - It provides four methodologies for estimating IDC demand: capital expenditure perspective, application token call volume perspective, IDC vendor revenue perspective, and server shipment volume perspective [14][17] - The report emphasizes that EBITDA is a more accurate reflection of IDC companies' operational performance compared to net profit, advocating for the use of EV/EBITDA valuation method [22][32] Demand Measurement - The IDC industry in China generated revenue of 240.7 billion yuan in 2023, with a year-on-year growth of 26.68% and a compound annual growth rate of 17.07% over the past three years [13] - The number of operational data center racks in China reached 8.1 million in 2023, with an average power of 20.5 kW per rack, reflecting a 24.2% increase from 2022 [13] - The four demand measurement methodologies include: 1. Capital expenditure perspective: Estimating AI server demand based on capital expenditure plans from major companies [17] 2. Application token call volume perspective: Deriving IDC demand from token and FLOPS requirements [17] 3. IDC vendor revenue perspective: Predicting future IDC revenues of major listed companies to estimate market size [17] 4. Server shipment volume perspective: Tracking quarterly AI server shipments to infer IDC demand [15][21] Valuation of IDC Companies - IDC companies primarily use the EV/EBITDA valuation method, as EBITDA better reflects the actual operating conditions and industry characteristics [22][32] - The report highlights the significance of EBITDA rates in indicating the core competitiveness of IDC companies, influenced by client structure and contract terms [30][28] - North American IDC leader Equinix's transition to REITs is noted as a model for Chinese IDC companies, emphasizing the importance of expanding value-added services [42][45] Investment Recommendations - Short-term focus on the IDC industry is advised due to supply disruptions from high-end chip availability, with a recommendation to monitor new chip testing and bidding activities [3] - Long-term outlook remains positive, with a focus on financing costs, power supply optimization, and the expansion of value-added services [3] - Specific companies to watch include: 1. 万国数据 (GDS): Leading IDC company with significant overseas market expansion [46] 2. 润泽科技 (Runze Technology): Rapid capacity expansion and REITs issuance [64] 3. 世纪互联 (CenturyLink): Strong market presence with a dual focus on base and city-type IDC services [58]

Core Viewpoint - The report highlights significant adjustments in the heavy holdings of Liu Gesong's six funds managed by GF Fund, particularly in the new energy vehicle and semiconductor sectors, with a notable shift towards new consumption, internet, and military industries [1][2]. Fund Holdings Adjustment - Liu Gesong's funds have reduced their positions in several previously favored stocks, including: - North Huachuang: Holdings decreased by approximately 17.69% to 161,240 shares [2]. - Seres: Holdings reduced by 9.14% [6]. - EVE Energy: Holdings decreased by 4.16% [6]. - JinkoSolar: Holdings down by 10.77% [6]. - Conversely, there has been a significant increase in holdings of stocks such as: - DeYe Co.: Increased by 40% [3][8]. - Xichuang Data: Increased by nearly 76% [3]. - Xiaomi Group-W: Increased by 25.66% [7]. Fund Performance - The overall performance of Liu Gesong's funds in Q2 was underwhelming, with all funds experiencing net redemptions: - The best-performing fund, GF Multi-Dimensional Emerging, recorded a net value growth rate of 7.91% [4]. - Other funds, such as GF Small Cap Growth A and C, reported growth rates of 2.38% and 2.28%, respectively [4]. - GF Innovation Upgrade and GF Technology Pioneer recorded negative returns [4]. Market Context - The A-share market saw mixed performance in Q2, with the Shanghai Composite Index rising by 3.26% and the Shenzhen Component Index slightly declining by 0.37% [5]. - Key sectors such as military, banking, and telecommunications showed significant gains, while sectors like food and beverage, home appliances, and steel performed poorly [5]. - Liu Gesong remains optimistic about the domestic economy's resilience, citing factors such as the easing of geopolitical tensions and supportive domestic policies [5].