证券日报网讯11月27日，维尔利（300190）在互动平台回答投资者提问时表示，公司子公司维尔利能源 设立的江苏维能智冷数控科技有限公司注册资本3000万元。该平台未来将专注于数据中心的冷却温控服 务，由于技术原理相通，其也将关注电子、医药等行业的生产车间恒温恒湿业务。未来公司将把握行业 发展机遇，推动江苏维能智冷数控科技有限公司发展为全面的液冷技术解决方案提供商，同时将都乐制 冷定位为核心制冷设备供应商，协同推进制冷技术在数据中心、工业等领域的应用与项目落地，实现良 好回报。 ...

Core Viewpoint - Weili (300190.SZ) is leveraging its expertise in liquid cooling and deep cooling technologies to expand its business in oil and gas recovery and VOCs treatment, highlighting the technical challenges and applications of these technologies in various industries [1] Summary by Relevant Sections Liquid Cooling Technology - The principle of liquid cooling involves passive and active heat exchange, where liquid absorbs heat from a heat source and releases it into the air through a radiator [1] - Liquid cooling is primarily used for efficient heat dissipation, maintaining temperatures within a reasonable range [1] Deep Cooling Technology - Deep cooling technology operates on the principles of phase change refrigeration and refrigeration cycles, utilizing refrigerants like liquid nitrogen and helium to absorb heat through evaporation or throttling expansion [1] - This technology is essential for creating and maintaining extremely low-temperature environments, with a higher difficulty level compared to shallow cooling [1] Company Operations - The subsidiary Doule Refrigeration specializes in oil and gas recovery and VOCs treatment, with products based on deep cooling principles, applicable in the petrochemical sector [1] - Doule Refrigeration has experience in producing conventional chillers and has transitioned to manufacturing oil and gas recovery equipment while also supplying chillers for certain petrochemical projects [1] Technical Expertise and Future Plans - Doule Refrigeration's current cooling systems primarily utilize medium-temperature water chillers, leveraging its extensive production experience [1] - The company aims to apply its deep cooling technology in the liquid cooling sector, targeting VOCs condensation and providing cooling sources at temperatures ranging from 5 to -75°C, while liquid cooling operates above zero degrees [1] - Future plans include expanding liquid cooling and refrigeration-related businesses in collaboration with Weili Energy, utilizing accumulated customer resources and technical advantages [1]

Core Viewpoint - The company, Weili (300190.SZ), has provided insights into its cooling technologies, specifically liquid cooling and deep cooling, highlighting their applications and technical challenges in the oil and gas recovery and VOCs treatment sectors [1] Summary by Relevant Sections Liquid Cooling Technology - Liquid cooling operates on passive/active heat exchange principles, where liquid absorbs heat from a heat source and releases it into the air through a radiator [1] - The cooling system primarily maintains temperatures within a reasonable range, with the cooling source temperature typically above zero degrees Celsius [1] Deep Cooling Technology - Deep cooling utilizes phase change refrigeration and refrigeration cycles, employing refrigerants like liquid nitrogen and helium to absorb heat through evaporation or throttling expansion [1] - This technology is designed to create and maintain extremely low-temperature environments, with cooling source temperatures ranging from 5 to -75 degrees Celsius for VOCs condensation [1] - The technical challenges include low-temperature embrittlement, explosion prevention, and anti-freezing measures, making deep cooling more complex than shallow cooling [1] Company Operations and Expertise - The company's subsidiary, Dole Refrigeration, specializes in oil and gas recovery and VOCs treatment, leveraging deep cooling principles in its products [1] - Dole Refrigeration has experience in producing conventional and medium-low temperature cooling equipment, and it has also supplied cooling units for petrochemical projects [1] - The company aims to expand its liquid cooling and refrigeration business by utilizing its accumulated customer resources and technical advantages, collaborating with Weili Energy through the Jiangsu Weinen Intelligent Cooling Technology Co., Ltd. platform [1]

Core Insights - The artificial intelligence market is transitioning from a "model training arms race" to a "value release in inference" phase, with various industries leveraging AI technology to reduce costs and improve efficiency [1] - The market for large model integrated machines is expected to grow significantly, from 123.6 billion yuan in 2025 to 520.8 billion yuan by 2027, making it one of the fastest-growing segments in AI hardware [1] - The introduction of the VasEdge immersion liquid cooling solution by Miaosuan Technology aims to make computing power more accessible for small and medium enterprises, addressing the high costs associated with enterprise-level AI applications [1][2] Company Overview - Miaosuan Technology's VasEdge utilizes single-phase immersion liquid cooling technology and modular server design, enhancing the compactness and ease of deployment of servers [2] - The system can support two 8-card GPU servers and one storage server, enabling full deployment of mainstream open-source models and various industry-specific applications [2] - The operational cost advantages of immersion liquid cooling include significantly improved cooling efficiency, reduced power consumption, and increased chip lifespan by over 50% [2] Market Trends - The global immersion cooling data center market is projected to reach $4.58 billion by 2025 and exceed $44.39 billion by 2035, with a compound annual growth rate (CAGR) of over 25.5% [3] - In China, the immersion cooling server market is expected to grow at a CAGR of 56.6% from 2022 to 2027, reaching a market size of $9.5 billion by 2027 [3] - The demand for AI computing power is primarily driven by China and the United States, with China being capable of supporting the complex supply chain required for single-phase immersion cooling servers [3] Future Outlook - The "liquid cooling era" in data centers is anticipated to emerge as server power density increases, with individual server power reaching between 4,000 to 6,000 watts, and potentially exceeding that in the future [4] - Both cold plate and single-phase immersion cooling technologies are expected to see widespread application in the market moving forward [4]

Core Viewpoint - The North American electricity shortage is positively impacting the power equipment industry within the overseas supply chain, particularly in the generation, storage, and transmission sectors [1] Group 1: Power Generation and Storage - Demand in the energy storage sector continues to grow steadily [1] - The advancement of Solid State Transformer (SST) technology is gaining attention, with companies like Sifang Co., Ltd. being highlighted [1] Group 2: AI Data Centers and Cooling Technology - The power demand from AI Data Centers (AIDC) is increasing, benefiting power equipment companies [1] - The application of liquid cooling technology is also driving the development of companies such as Invec [1] Group 3: Mechanical ETF and Industry Index - The Mechanical ETF (516960) tracks a segmented mechanical index (000812), which selects listed companies involved in industrial automation and engineering machinery [1] - The index primarily covers companies with high technical capabilities and market competitiveness, reflecting the overall performance of quality companies in the mechanical equipment industry [1] - The index style leans towards a balanced allocation of growth and value [1]

证券日报网讯永和股份（605020）11月26日在互动平台回答投资者提问时表示，公司浸没式冷却液目前 正处于市场验证及拓展阶段，未来，公司将持续关注液冷技术的发展趋势，积极把握市场机遇，不断提 升产品竞争力。 ...

Core Viewpoint - Yonghe Co., Ltd. is currently in the market verification and expansion phase for its immersion cooling liquid, indicating a proactive approach to capitalize on market opportunities and enhance product competitiveness [1] Company Summary - The company is focusing on the development trends of liquid cooling technology and aims to continuously improve its product competitiveness [1]

Core Viewpoint - The company plans to invest 61.2 million yuan to acquire a 51% stake in Shenzhen Guanding Metal Technology Co., Ltd, a leading provider of AI computing liquid cooling solutions, enhancing its capabilities in the liquid cooling technology sector [1][2] Group 1: Investment Details - The investment will involve a capital increase of 2.22222 million yuan from the company's subsidiary, Dongguan Keli Star Electronics Co., Ltd, while the original actual controller of Shenzhen Guanding will contribute 30 million yuan [1] - Shenzhen Guanding specializes in comprehensive solutions for AI computing liquid cooling products and has become a core supplier in the liquid cooling field [1] Group 2: Product and Technology Overview - The target company has a rich experience in research and development in the cooling field, with products including water cooling plates, immersion cooling modules, and various heat dissipation modules [1] - Its products are widely used in AI servers, GPUs, supercomputing centers, data centers, cloud computing, aerospace, energy storage, new energy, and lasers [1] Group 3: Strategic Implications - The acquisition will allow the company to integrate mature liquid cooling product technology and patent reserves, reducing the self-research cycle and quickly seizing the high ground in liquid cooling technology [2] - This move aligns with the company's strategy to create a new business growth point in the AI computing era by combining "connectors + liquid cooling" and "precision electronics + liquid cooling" [2]

Core Viewpoint - The AI industry is experiencing rapid developments, with Google and Nvidia emerging as key players. The competition is characterized by differentiation and collaboration rather than a zero-sum game [2][4][14]. Group 1: Nvidia's Competitive Advantages - Nvidia holds a dominant position in the AI computing market due to its GPU technology, which is preferred for AI training and inference due to its parallel computing efficiency [5]. - The company has established a comprehensive AI ecosystem, integrating hardware, software, and applications, with its CUDA platform becoming the standard for AI development [6]. - Nvidia's diverse revenue streams, including data centers and gaming, provide it with a robust risk management capability compared to Google's current focus on capital expenditures for AI [8]. Group 2: Google's Strategic Positioning - Google's AI strategy focuses on building an AI infrastructure that supports its core business areas, such as search and cloud services, rather than competing for the global general-purpose computing market [7]. - The TPU technology developed by Google is tailored for specific applications, limiting its compatibility and general applicability compared to Nvidia's GPUs [7]. - Google's approach is more about creating a closed ecosystem, while Nvidia adopts an open ecosystem strategy, allowing for broader market coverage and collaboration [7]. Group 3: Market Trends and Investment Opportunities - The AI industry is expected to see a surge in computing power demand, with both general-purpose and specialized computing coexisting in the market [8][14]. - Investment opportunities in the AI sector are identified in areas such as Nvidia's supply chain, liquid cooling technology, and AI application software [9][11]. - The growth of Google's OCS (Optical Circuit Switching) industry chain is anticipated to create significant opportunities for related vendors, particularly in optical modules [10].

Core Insights - The AI industry is experiencing a dynamic phase where concerns about a "bubble" have shifted to worries about Google's rise impacting NVIDIA's future in AI. However, the "catalyst effect" suggests that both companies can drive the AI industry to new heights together [1] Group 1: Google & NVIDIA Competition - Google and NVIDIA are positioned as "absolute rivals" rather than a zero-sum game, with Google's recent advancements in AI computing power and model capabilities indicating intensified competition. However, NVIDIA's core advantages and industry positioning suggest that Google's efforts are unlikely to disrupt NVIDIA's leading status, leading to a scenario of "differentiated competition and collaborative development" [2][3] Group 2: NVIDIA's Competitive Advantages - NVIDIA holds a dominant position in the computing power market due to its absolute advantage in GPU technology, which is preferred for AI training and inference due to its parallel computing efficiency. Continuous technological iterations have further solidified NVIDIA's lead, as evidenced by the successful performance of its GB300 and RTX300 series products [3] - NVIDIA has established a comprehensive AI ecosystem, creating a "hardware-software-application" advantage. The CUDA platform has become the standard tool for AI development, with millions of developers relying on it, creating a strong network effect that is difficult for competitors to replicate [3][4] Group 3: Google's Differentiated Positioning - Google's AI strategy focuses on building an "all-in-one AI infrastructure" to support its core businesses, such as search and cloud services, rather than competing for the global general-purpose computing market. The TPU is tailored for specific AI models and applications, limiting its compatibility and general applicability compared to NVIDIA's GPUs [5] - NVIDIA's GPUs are characterized by strong versatility and a well-established ecosystem, catering to a wide range of clients, including cloud service providers and various industries, thus presenting a larger market opportunity than Google's TPU [5] Group 4: Financial Performance and Market Outlook - NVIDIA's revenue structure demonstrates resilience, with its data center business being a core growth engine, while also maintaining stable income from traditional sectors like gaming and professional visualization. In contrast, Google's AI investments are primarily reflected in increased capital expenditures, with commercial monetization of its AI business requiring time to validate [6] - The long-term outlook suggests a diversification in computing power demand, with both general-purpose and specialized computing coexisting. NVIDIA is expected to continue leading the general-purpose computing market, while Google's TPU will serve specific scenarios, together addressing the market's diverse needs [7] Group 5: Investment Opportunities - Investment opportunities in the A-share AI and related industries are concentrated in several areas, including: - Core hardware targets related to NVIDIA's supply chain, focusing on hardware manufacturers and key component suppliers benefiting from GPU demand growth [8] - Liquid cooling technology, which is essential for efficient data center cooling, with increasing market demand as AI computing density rises. Companies with strong partnerships with NVIDIA and those entering the supply chain are recommended for investment [8] - The communication computing chain, which is expected to benefit from Google's OCS industry chain expansion, with specific companies poised for significant growth due to their involvement in this sector [9] - AI application end, particularly C-end tool software and ecosystem companies, which are expected to thrive due to the explosive growth of AI applications [10] Conclusion - The AI industry is entering a golden era, characterized by explosive growth in computing power demand, accelerated application deployment, and collaborative upgrades across the industry chain. Google's strong push in AI computing and models is not expected to undermine NVIDIA's leading position but will instead drive overall industry expansion, creating a favorable competitive landscape [13]