Investment Rating - The report maintains an investment rating of "Outperform" [6] Core Insights - Nvidia plans to invest up to $100 billion in OpenAI to build and deploy AI data centers with at least 10 GW capacity, utilizing millions of Nvidia GPUs [1] - Alibaba has announced a significant AI collaboration with Nvidia, focusing on Physical AI technology, and has invested over 380 billion RMB in AI infrastructure, with plans for further investment [2] - Micron's FY25Q4 revenue reached $11.32 billion, exceeding market expectations, with a notable 46% year-over-year growth, particularly in the cloud storage sector [3] Summary by Sections Industry Performance - The electronic index PE is at 72.55 times, with a 10-year PE percentile of 93.31% [4][35] - The electronic sector has shown strong performance, with a 3.51% increase in the index over the past week, ranking 3rd among 31 sectors [10][29] Company Highlights - Micron's cloud storage revenue reached $4.54 billion, tripling year-over-year, and the company expects Q1 2026 revenue to hit $12.5 billion, surpassing market forecasts [3] - Nvidia's collaboration with OpenAI is expected to finalize details in the coming weeks, with the first phase of the system set to launch in late 2026 [1] Investment Recommendations - The report suggests focusing on companies in the domestic computing power sector such as Cambrian, Haiguang Information, and Huafeng Technology, as well as storage companies like Zhaoyi Innovation and Baiwei Storage [11]

Macro Highlights - The People's Bank of China will conduct a 600 billion MLF operation on September 25 to maintain ample liquidity in the banking system, marking the seventh consecutive month of increased MLF operations [1] - In September, the net MLF injection will be 300 billion, as 300 billion MLF is maturing [1] - The central bank also conducted reverse repurchase operations, injecting 1 trillion and 600 billion in mid-term funds on September 5 and 15, respectively, achieving a net injection of 300 billion [1][2] Digital Consumption Development - Eight departments, including the Ministry of Commerce, issued guidelines to promote digital consumption, focusing on four areas with 14 specific tasks [3] - The guidelines aim to enhance the supply of digital products and services, support the growth of digital consumption enterprises, optimize the supporting system for digital consumption, and create a favorable environment for its development [3] Construction Industry Growth - Six departments released a plan for the construction industry to stabilize growth, prohibiting the addition of cement and glass production capacity [4] - The plan aims for the construction industry to recover and improve profitability from 2025 to 2026, with green building materials expected to generate over 300 billion in revenue by 2026 [4] - Emphasis is placed on technological innovation and the transition from traditional production to high-tech, high-value-added processes [4] Fusion Energy Development - China Fusion Energy Company, established with a registered capital of 15 billion, will build a high-temperature superconducting fusion device in Shanghai [5] - The company aims for commercial fusion energy by 2050, with a focus on engineering and technology development [5] AI Infrastructure Investment - OpenAI, Oracle, and SoftBank announced plans to build five data centers with an investment exceeding 400 billion over the next three years [7] - This initiative is part of the "Stargate" project, aiming to expand AI infrastructure in the U.S. [7] Cooling Technology Innovation - Microsoft has developed a microfluidic cooling technology that increases cooling efficiency by three times compared to existing methods [8] - This technology, enhanced by AI, aims to improve data center performance and extend hardware lifespan [8] Company News - Zhongwei Semiconductor has submitted an application for H-share issuance to the Hong Kong Stock Exchange [9] - Shanghai Zhiyuan plans to acquire 37% of the shares of a company [9] - Huatai Technology is planning to purchase equity in Huayi Microelectronics, leading to a stock suspension [9] - Several companies, including China Giant Glass and New Point Software, announced share repurchase plans ranging from 30 million to 40 million [9]

Core Viewpoint - The explosive growth in AI computing power demand is driving the advancement of liquid cooling technology towards higher-end solutions [1] Group 1: Microfluidic Cooling Technology - Microsoft has developed microfluidic cooling technology that delivers cooling liquid directly to the chip's interior through tiny channels, significantly improving cooling efficiency [3] - The cooling efficiency of this technology is three times higher than existing cooling plates, reducing the maximum temperature rise of chips by 65%, which supports denser data center deployments and extends hardware lifespan [3] - AI plays a crucial role in this technology, as Microsoft collaborated with Swiss startup Corintis to design biomimetic structures for precise cooling liquid coverage and to identify thermal signals for adaptive cooling [3][4] Group 2: Technical Challenges and Future Prospects - The design of internal channels in chips poses technical challenges, requiring a balance between sufficient depth to prevent blockage and avoiding excessive etching that could cause breakage [4] - Microsoft has iterated on this technology over a year, and it may enable new chip architectures, such as 3D chips, which generate significant heat [4] - Future research will focus on integrating microfluidic cooling technology into Microsoft's chip products, with advantages in cost and reliability [4] Group 3: Competitive Landscape and Market Implications - Other tech giants, such as NVIDIA, are also pushing for advancements in liquid cooling technologies, with NVIDIA requesting suppliers to develop new micro-channel liquid cooling plate technology [4] - The traditional cold plate liquid cooling method remains prevalent, characterized by high maturity and widespread application, which may dominate the market in the short term due to its operational simplicity and total cost of ownership advantages [5] - The transition to new liquid cooling solutions may alter the supply chain landscape, presenting opportunities for domestic liquid cooling supply chain companies, including traditional VC firms, liquid cooling module manufacturers, heat sink manufacturers, and 3D printing firms [5]

Core Insights - Microsoft is innovating in chip cooling technology to address the increasing thermal challenges posed by AI workloads, with a new microfluidic cooling system that enhances efficiency by up to three times and reduces GPU temperature rise by 65% [4][5][21] Group 1: Technology Innovation - The new microfluidic cooling system involves embedding cooling liquid directly into the chip, significantly improving heat dissipation [4][5] - Microsoft has iterated on the design for a year to ensure the microchannels do not clog while maintaining chip integrity [7] - The cooling system allows for safe "overclocking" during peak loads, enhancing performance without overheating [9][28] Group 2: Industry Implications - The global energy demand for data centers is projected to double from approximately 460 TWh in 2024 to over 1000 TWh by 2030, highlighting the urgent need for efficient cooling solutions [12][14] - In the U.S., data centers consumed about 176 TWh in 2023, accounting for 4.4% of total electricity consumption, indicating a significant impact on energy resources [15] - Efficient cooling technologies can reduce overall energy consumption and carbon emissions, aligning with ESG goals [25] Group 3: Competitive Landscape - Microsoft is investing heavily in cloud and AI infrastructure, with capital expenditures reaching $24.2 billion in Q4 2025, indicating a strategic push to dominate the AI infrastructure market [29][31] - The company is developing proprietary chips to reduce reliance on external suppliers like NVIDIA, enhancing control over cooling and architecture [31] - Other tech giants like Google and Amazon are also advancing their cooling technologies and chip designs, indicating a competitive race in the AI infrastructure space [36][37] Group 4: User Experience - Improved cooling technology directly impacts user experience by reducing latency and preventing service interruptions during high-demand periods [19][28] - The microfluidic cooling system is expected to lower operational costs, potentially translating to lower subscription fees for AI services [21][22]