算力诞生“十倍”股，哪些基金押对

Core Viewpoint - The computing power sector, likened to "water, electricity, and coal" in the AI field, has become a new favorite among public funds, with significant increases in holdings of four computing power concept stocks in Q2 2025 [1][2]. Group 1: Fund Holdings and Performance - In Q2 2025, active equity funds significantly increased their holdings in four computing power stocks: Zhongji Xuchuang, Xinyi Sheng, Hudian Co., and Shenghong Technology, with the first two being leaders in optical modules and the latter two being core suppliers of printed circuit boards (PCBs) [1]. - As of June 30, 2025, Shenghong Technology entered the top 20 holdings of public active equity funds, with over 300 funds holding a combined market value of approximately 13.2 billion yuan, accounting for about 11.5% of its circulating shares [3]. - The stock price of Shenghong Technology has surged, with a cumulative increase of over 300% since the beginning of the year, and over 1000% since its low in early February 2024 [1][2]. Group 2: Market Trends and Drivers - The high demand for AI chips, particularly GPUs, has directly catalyzed the stock price of Shenghong Technology, as the GPU market's growth is expected to drive demand for optical modules and PCBs [2]. - The computing power sector is experiencing a high boom, with significant increases in the number of funds holding stocks in this sector, particularly for Xinyi Sheng and Zhongji Xuchuang, which have also seen substantial increases in their stock prices [8][9]. Group 3: Future Outlook - Fund managers express optimism about the computing power sector, noting that while cloud computing has seen significant gains, adjustments and volatility are expected in the future [11]. - The ongoing development of artificial intelligence is anticipated to sustain high demand for the computing power supply chain, with expectations of continued growth in the sector driven by advancements in AI applications and increased capital expenditure [12][13]. - There is a strong belief in the potential of Chinese companies to innovate in foundational models, core algorithms, and advanced chips, which could lead to significant advancements in the global AI landscape [14].