Core Viewpoint - KWH Data's stock price has shown significant volatility, with an 85.70% increase year-to-date, but a recent decline in the last five trading days, indicating potential market fluctuations and investor sentiment changes [1][2]. Financial Performance - For the period from January to September 2025, KWH Data reported a revenue of 5.706 billion yuan, representing a year-on-year growth of 5.79%. The net profit attributable to shareholders was 344 million yuan, reflecting a substantial increase of 44.71% compared to the previous year [2]. - Cumulative cash dividends since the company's A-share listing amount to 1.385 billion yuan, with 130 million yuan distributed over the last three years [3]. Stock Market Activity - As of December 22, KWH Data's stock price was 53.52 yuan per share, with a market capitalization of 27.585 billion yuan. The trading volume was 124 million yuan, with a turnover rate of 0.51% [1]. - The company has appeared on the "Dragon and Tiger List" seven times this year, with the most recent instance on October 27, where it recorded a net buy of -471 million yuan [1]. Shareholder Structure - As of December 10, KWH Data had 107,000 shareholders, an increase of 10.31% from the previous period. The average number of tradable shares per shareholder decreased by 9.35% to 4,249 shares [2]. - The second-largest circulating shareholder is Hong Kong Central Clearing Limited, holding 20.0319 million shares, which increased by 13.3589 million shares compared to the previous period [3].

Core Viewpoint - Keda Data's stock experienced a decline of 0.98% on December 19, with a trading volume of 1.018 billion yuan, indicating a significant level of trading activity in the stock market [1] Financing and Margin Trading - On December 19, Keda Data had a financing buy amount of 126 million yuan and a financing repayment of 145 million yuan, resulting in a net financing buy of -18.56 million yuan [1] - The total margin trading balance for Keda Data reached 1.502 billion yuan as of December 19, with the financing balance of 1.499 billion yuan accounting for 5.54% of the circulating market value, which is above the 70th percentile level over the past year [1] - In terms of securities lending, Keda Data had 4,700 shares repaid and 4,200 shares sold on December 19, with a selling amount of 220,400 yuan, and a remaining securities lending balance of 388.80 million yuan, also above the 70th percentile level over the past year [1] Company Overview - Keda Data Co., Ltd. is located in Xiamen Torch High-tech Zone, Fujian Province, and was established on March 26, 1999, with its listing date on January 13, 2010 [1] - The company's main business involves the production and sales of UPS power supplies for information equipment and industrial power, with revenue composition as follows: 49.62% from new energy products, 21.01% from data center products, 16.43% from IDC services, 11.77% from smart energy products, and 1.17% from other sources [1] Financial Performance - As of December 10, Keda Data had 107,000 shareholders, an increase of 10.31% from the previous period, with an average of 4,249 circulating shares per person, a decrease of 9.35% [2] - For the period from January to September 2025, Keda Data achieved an operating income of 5.706 billion yuan, representing a year-on-year growth of 5.79%, and a net profit attributable to the parent company of 344 million yuan, reflecting a year-on-year increase of 44.71% [2] Dividend Distribution and Institutional Holdings - Keda Data has distributed a total of 1.385 billion yuan in dividends since its A-share listing, with 130 million yuan distributed over the past three years [3] - As of September 30, 2025, the second-largest circulating shareholder is Hong Kong Central Clearing Limited, holding 20.0319 million shares, an increase of 13.3589 million shares from the previous period [3] - The Guangfu ETF (515790) is the seventh-largest circulating shareholder, holding 4.1008 million shares, a decrease of 114,800 shares from the previous period, while the Southern CSI 1000 ETF (512100) is the tenth-largest circulating shareholder, holding 3.2986 million shares, a decrease of 23,100 shares [3]

Core Viewpoint - The company, Kehua Data, is a pioneer in the liquid cooling sector, leveraging years of technical expertise and experience in data center construction and operation to offer a full lifecycle service for liquid cooling data centers [1] Group 1: Product Offerings - The company has developed a range of self-researched liquid cooling products, including air-liquid drawer-type CDU, liquid-liquid drawer-type CDU, and liquid-liquid cabinet-type CDU [1] - Integrated products include WiseCooling plate liquid cooling micro-modules, liquid cooling containers, and liquid cooling all-in-one machines [1] Group 2: Strategic Partnerships and Projects - The company has partnered with Muxi Co., Ltd. to launch a high-density liquid cooling computing POD [1] - Specific projects have been implemented in intelligent computing scenarios, focusing on exploring solutions centered around super nodes to provide stable, efficient, and flexible real-time support for high-performance computing needs [1]

证券日报网讯 12月19日，科华数据在互动平台回答投资者提问时表示，公司积极开拓海外智算中心业 务尤其是海外大客户及其合作伙伴的业务机会，具体合作信息请以公司公开披露的信息为准。 （文章来源：证券日报） ...

证券日报网讯12月19日，科华数据（002335）在互动平台回答投资者提问时表示，截至目前，公司暂无 收购计划，具体信息请以公司公开披露的信息为准。 ...

证券日报网讯12月19日，科华数据（002335）在互动平台回答投资者提问时表示，公司具体业绩情况敬 请关注公司后续的定期报告。 ...

每经AI快讯，有投资者在投资者互动平台提问：贵公司有数字货币相关业务吗？ （记者 张明双） 科华数据（002335.SZ）12月19日在投资者互动平台表示，公司以"以智慧电能驱动低碳数字未来"为使 命，以电力电子技术为核心，致力成为全球卓越的智慧电能解决方案提供商。截至目前，公司未涉及数 字货币相关业务。 ...

Core Insights - The article emphasizes the rapid transformation of the global technology landscape driven by artificial intelligence (AI), highlighting the evolution of data centers towards higher density, efficiency, and intelligent management [1] - The concept of "computing power infrastructure" is redefined in the context of AI, necessitating continuous adaptation and innovation to meet changing demands [3][4] Group 1: Understanding "More Knowledgeable" Infrastructure - The essence of being "more knowledgeable" is defined as continuous evolution, recognizing that static understanding quickly becomes outdated in the fast-paced AI era [3] - The company has accumulated extensive insights from its deep involvement in the transition from cloud computing to intelligent computing, allowing it to capture rapidly changing industry needs [3] - The company’s nearly 40 years of experience in power electronics and over a decade in data center lifecycle services contribute to its strong product and project implementation capabilities [3] Group 2: Challenges and Solutions in AI Era - AI's rapid iteration, particularly in GPU technology, has fundamentally altered data center design logic, shifting from standardization to meeting high demands for infrastructure [4] - The company is addressing cooling challenges by adopting new cooling technologies like liquid cooling, integrating them with power supply and control systems [4] - The scale of computing clusters is expanding dramatically, necessitating the introduction of AI management to enhance operational efficiency and energy savings [4][6] Group 3: Technological Innovations and Energy Efficiency - The company has launched a groundbreaking 200 kW power supply product, utilizing third-generation semiconductor devices, achieving an efficiency of up to 99.2% [5] - Enhancements in energy efficiency can save millions in electricity costs, especially in regions facing power shortages, allowing for more effective computing power utilization [6] - The trend towards prefabrication and modularization is driven by the need for rapid deployment, significantly reducing delivery times from one year to three to four months [6] Group 4: Green and Low-Carbon Development - The company emphasizes the necessity of green and low-carbon development in data centers, addressing the growing conflict between computing power and energy consumption [7] - Innovations in product design, such as using silicon carbide (SiC) materials, have led to power supply efficiencies exceeding 98%, reflecting the company's commitment to energy conservation [7] - The concept of "computing power and electricity synergy" is proposed, leveraging energy storage systems to provide flexible power support for computing centers [7] Group 5: Reliability and Global Expansion - The reliability of systems is critical as data center complexity increases, with proactive maintenance strategies being implemented through AI technology [8] - The integration of sensors in products allows for real-time monitoring of equipment health, facilitating predictive maintenance and enhancing system availability [8] - The company aims to expand globally, with prefabricated power modules designed for easy transport and rapid deployment, showcasing advancements in China's high-end manufacturing capabilities [8]

Group 1 - The company Kehua Data (002335.SZ) announced a collaboration with Muxi Co., launching a high-density liquid cooling computing POD [2][4] - The partnership has already resulted in specific projects in intelligent computing scenarios, focusing on supernodes as a core technology [2][4] - This initiative aims to provide stable, efficient, and flexible real-time support for high-performance computing demands [2][4]

Core Viewpoint - The company has made significant advancements in liquid cooling technology, positioning itself as a pioneer in the industry with a comprehensive lifecycle service for liquid-cooled data centers [1] Group 1: Liquid Cooling Innovations - The company has launched a full lifecycle service for liquid-cooled data centers, which includes self-developed liquid cooling products [1] - The product systems include air-liquid drawer-type CDU, liquid-liquid drawer-type CDU, and liquid-liquid cabinet-type CDU [1] - Integrated series products consist of Wise Cooling plate liquid cooling micro-modules, liquid cooling containers, and liquid cooling all-in-one machines [1] Group 2: Strategic Partnerships and Applications - The company has partnered with Muxi Co., Ltd. to introduce high-density liquid cooling computing PODs [1] - Specific projects have been implemented in intelligent computing scenarios, focusing on super nodes as a core technology to explore related solutions [1] - This collaboration aims to provide stable, efficient, and flexible real-time support for high-performance computing needs [1]