Summary of the Conference Call on Switch Industry and AI Computing Power Industry Overview - The report focuses on the **switch industry**, highlighting its critical role in network interconnection and the growing demand driven by data center construction [4][20]. - The global switch market is projected to grow significantly, with the top five manufacturers holding a substantial market share [4][68]. Key Points and Arguments Market Growth and Demand - The global switch market is expected to grow from **$61.9 billion in 2020** to **$96.8 billion by 2025**, with a **CAGR of 9.4%** [24]. - In China, the market is projected to increase from **¥116.8 billion in 2020** to **¥318 billion by 2025**, with a **CAGR of 22.2%** [24]. - The demand for switches is driven by the increasing data center construction and the need for higher data transfer rates [20][30]. Market Concentration - The top five global switch manufacturers, including **Cisco, Arista, Huawei, HPE, and Xinhua San**, hold **69.6%** of the market share, with Cisco leading at **35.9%** [4][68]. - In China, the top five manufacturers account for **89.7%** of the market, with Huawei at **32.4%** [4][68]. Technological Trends - **White-box technology** is emerging, allowing for hardware-software decoupling, which reduces acquisition and operational costs [31][35]. - The **CPO (Chip-Package-Optical)** switch technology is gaining traction, promising lower power consumption and higher efficiency [36][41]. Chip Market Dynamics - The global Ethernet switch chip market is expected to grow, with commercial vendors driving the majority of the growth [81][86]. - The market is currently dominated by overseas giants, indicating significant room for domestic alternatives [87]. Important but Overlooked Content - The report highlights the **risk factors** including the potential underdevelopment of AI applications, escalating US-China trade tensions, intensified market competition, and the risk of failure in new technology and product development [7]. - The **data center switch market** in China is expected to account for **51.7%** of the total switch market by 2026, indicating a growing reliance on data center infrastructure [30]. Recommendations - The report suggests monitoring companies such as **Sengke Communication, Yutai Micro, Ruijie Networks, Unisplendour, ZTE, and Feiling Kesi** for potential investment opportunities [6]. This summary encapsulates the essential insights from the conference call regarding the switch industry and its intersection with AI computing power, providing a comprehensive overview of market dynamics, technological advancements, and investment opportunities.

Core Viewpoint - The development of 5G-A network at Mount Everest Base Camp has significantly improved communication capabilities for tourists and researchers, enhancing their experience and operational efficiency [1][2][4]. Group 1: Network Development - The 5G network at Mount Everest Base Camp has become stable and reliable, allowing visitors to stream videos and share experiences in real-time [1]. - In 2020, China Mobile was responsible for the first-ever 5G signal transmission to the summit of Mount Everest, establishing eight base stations along the climbing route [2]. - The 5G-A network offers lower latency, higher speed, and better user experience compared to 4G, facilitating real-time video calls and data uploads for scientific research [2][3]. Group 2: Technical Challenges - The construction and deployment of communication equipment at high altitudes present significant challenges due to low oxygen levels, extreme cold, and strong winds [3]. - Engineers have made targeted improvements to equipment to ensure reliable operation in harsh conditions, focusing on heat dissipation and equipment sealing [3]. Group 3: Future Plans - China Mobile plans to increase investment in 5G network construction, aiming to cover more key scenic areas with advanced 5G-A networks [4]. - The collaboration between China Mobile and ZTE will deepen in areas such as industry empowerment and smart socialization, contributing to the upgrade of Tibet's communication industry [4].

Core Viewpoint - The acquisition of Haowei Technology by Degute represents a significant "elephant swallowing snake" transaction, with a substantial disparity in revenue and asset size between the two companies [1][2]. Group 1: Acquisition Details - Degute plans to acquire 100% of Haowei Technology through a combination of share issuance and cash payment, making Haowei a wholly-owned subsidiary [1]. - The specific transaction pricing has not been disclosed, but the scale of the acquisition is notable given the financial metrics of both companies [1]. - The transaction involves 14 shareholders of Haowei Technology, with the top three shareholders holding 27.83%, 27.62%, and 13.85% of the shares respectively [2]. Group 2: Financial Comparison - In 2024, Degute's revenue is projected to exceed 500 million yuan, while Haowei Technology's revenue for 2023 and 2024 is reported at 3.861 billion yuan and 3.654 billion yuan respectively, indicating a revenue scale several times larger than Degute's [2][3]. - As of March 31, 2024, Degute's total assets are 1.156 billion yuan with equity of 765 million yuan, whereas Haowei Technology's total assets are 5.617 billion yuan with equity of 2.954 billion yuan [1][2]. Group 3: Business Transition - Following the acquisition, Degute aims to expand its business from energy-saving equipment manufacturing to telecommunications software development, cloud and AI software services, and industry digital solutions, thereby creating a second growth curve [4]. - The company has been transitioning from a "product supplier" to a "system integration service provider," focusing on a full value chain system for clean combustion and efficient heat exchange [5]. Group 4: Historical Context of Haowei Technology - Haowei Technology, previously known as Zhongxing Ruanchuang, was listed on the New Third Board before delisting in 2017 and has undergone multiple rounds of listing guidance since then [1][5]. - The company has received high-level certifications from major cloud service providers, indicating its strong capabilities in cloud management services [2].

Investment Rating - The report maintains an "Outperform" rating for the communication industry [4] Core Views - The global computing power continues to show high prosperity, driven by the launch of xAI's Grok4 model and strong performance forecasts from computing power infrastructure companies [1][2] - AI inference demand is rapidly increasing, with market size expectations likely to be revised upwards, indicating a significant growth opportunity in the computing power industry [17][18] - The performance forecasts for various companies in the computing power supply chain indicate sustained high growth, particularly in optical modules and copper connection sectors [34][49][51] Summary by Sections Industry News Tracking - xAI launched the Grok4 model, which supports more complex interactions and has a subscription fee of $30/month, surpassing OpenAI's highest fee [1][12] - Broadcom's management indicated that AI inference demand has significantly increased, exceeding current capacity, and this demand was not included in previous market size forecasts of $60-90 billion [1][17] - Mellanox announced the availability of the Quantum-X switch, which features a bandwidth of 115.2 tb/s and is expected to drive orders for related components [1][19][20] Performance Forecasts - Companies such as Ruijie Networks and Huagong Technology forecast substantial profit increases, with Ruijie expecting a net profit of 400-510 million yuan, a year-on-year increase of 160.11%-231.64% [2][34] - Taiwan's AI server ODM manufacturers reported a total monthly revenue of 100.26 billion NTD in June, a 35% year-on-year increase, indicating strong demand in the AI infrastructure market [2][24] Investment Recommendations - The report recommends focusing on various segments of the AI computing power infrastructure, including optical devices and copper connection industries, as well as domestic computing power companies benefiting from increased investments [3][80] - Long-term investment in the three major telecom operators is suggested due to their stable operations and increasing dividend payouts, with a cumulative revenue of 748.8 billion yuan in the first five months of the year, a 1.4% year-on-year increase [3][80]

Investment Rating - Industry investment rating: Positive (maintained) [1] Core Viewpoints - The report highlights the strong performance of computing-related companies and maintains a positive outlook on the global AIDC (AI Data Center) industry chain, driven by increasing demand for data center infrastructure and AI applications [5][19] - The release of Grok 4 by XAI and the introduction of AWS's GB200 UltraServers are significant advancements in AI computing capabilities, enhancing the competitive landscape [16][17] Summary by Sections 1. Investment Insights - The report emphasizes the impressive earnings forecasts from several companies in the computing sector, with Ruijie Networks expecting a net profit of 400 million to 510 million yuan for H1 2025, representing a year-on-year growth of 160.11% to 231.64% [5][13] - Industrial Fulian anticipates a net profit of 6.727 billion to 6.927 billion yuan for Q2 2025, reflecting a year-on-year increase of 47.72% to 52.11% [15] - The demand for high-speed optical modules in computing centers is rapidly increasing, contributing to significant revenue growth for companies like Huagong Technology, which expects a net profit of 890 million to 950 million yuan for H1 2025, up 42.43% to 52.03% year-on-year [14] 2. Market Trends - As of May 2025, China has established 4.486 million 5G base stations, with a net increase of 235,000 stations since the end of 2024 [29] - The number of 5G mobile phone users reached 1.098 billion, marking a year-on-year growth of 21.3% [29] - The report notes a decline in 5G mobile phone shipments, with 21.19 million units shipped in May 2025, down 17.0% year-on-year [29] 3. Recommended Investment Targets - AIDC Infrastructure: Recommended stocks include New Idea Network Group, Baoxin Software, and Runze Technology; Beneficiary stocks include Guanghuan New Network, Aofei Data, and Century Interconnect [20] - IT Equipment: Recommended stocks include Ziguang Co. and ZTE; Beneficiary stocks include Cambrian and Inspur [21] - Network Equipment: Recommended stocks include Ziguang Co. and ZTE; Beneficiary stocks include Ruijie Networks and Yingtong Technology [22] - Cloud Computing: Beneficiary stocks include China Mobile, China Telecom, and China Unicom [25] - AI Applications: Beneficiary stocks include Guanghe Tong and Yiyuan Communication [26] - Satellite Internet & 6G: Beneficiary stocks include Haige Communication and Shenglu Communication [27]

Core Viewpoint - The development of artificial intelligence and robotics in Guangdong requires a coordinated effort in talent, computing resources, and ecosystem support, with a focus on overcoming existing shortcomings in open-source data and reliance on imported components [1][2]. Group 1: Artificial Intelligence Development - Guangdong should enhance support for companies that actively contribute to open-source AI models, addressing the current shortfall in open-source initiatives [2]. - The establishment of a collaborative innovation center for AI and robotics is essential to lower the barriers for technology transfer and foster a more integrated development model [1][2]. Group 2: Robotics Industry - There is a pressing need for a national-level robotics training facility in Guangdong to facilitate the development and testing of high-end robots in realistic environments [1][2]. - Over 80% of core components for robotics, such as harmonic reducers and high-precision sensors, are still imported, highlighting the need for local innovation and production capabilities [1]. Group 3: Computing Infrastructure - The digital infrastructure, particularly in computing power, is critical for the growth of AI-related industries, with a goal for Guangdong to achieve 65% self-sufficient high-performance computing power by around 2027 [2]. - The establishment of a dedicated "computing power development fund" is recommended to support projects utilizing various domestic chip and server technologies [2]. Group 4: Data Utilization - To address the challenge of insufficient data for AI training, Guangdong should create a large-scale industry information database in collaboration with cities like Guangzhou, Shenzhen, and Dongguan, drawing on successful experiences from Shanghai [2][3]. - The proposal for a "Guangdong-Hong Kong-Macao Industrial Big Data Sharing Platform" aims to unlock the potential of data as a new resource for industry [3].

Core Insights - The AI training and inference integrated machine market in China is projected to reach 16.8 billion yuan in 2024, with expectations to exceed 20 billion yuan by 2025 due to the surge in demand for AI large models, accelerated domestic substitution, and policy support [1][3] - The industry is characterized by a focus on local deployment, particularly in sectors such as government, finance, and healthcare, which is driving the growth of the market [3][16] Industry Definition and Classification - The AI training and inference integrated machine is a specialized computing device or system that integrates AI model training and inference deployment functions, aiming for efficient collaboration from data training to model implementation [1] - It can be classified based on deployment location into cloud-based, edge-based, and hybrid machines, and by vertical specialization into general-purpose and industry-specific types [1] Current Industry Development - Following the release of ChatGPT and the GPT series by OpenAI, there has been a global surge in AI large model development, with a focus on commercializing these models [3] - The market for AI training and inference integrated machines is expected to grow significantly, driven by increased penetration in various sectors [3][16] Industry Value Chain - The upstream of the industry involves components such as CPUs, GPUs, storage devices, and foundational software like operating systems and databases [5] - The midstream focuses on the research, production, and system integration of training and inference integrated machines, while the downstream applications span government, finance, healthcare, manufacturing, energy, and education [5] Competitive Landscape - The industry is currently in its early stages, characterized by a "domestic-led, concentrated head, and accelerated vertical segmentation" competitive landscape [10] - Major players include Alibaba, Inspur, Sugon, iFlytek, Huawei, ZTE, and others, with a focus on enhancing hardware products related to computing power [10][11] Key Companies - **Inspur**: A leading cloud computing and big data service provider in China, with a projected revenue of 114.77 billion yuan in 2024, marking a 74.24% increase from 2023 [12] - **Sugon**: A core information infrastructure leader in China, with a revenue of 13.15 billion yuan in 2024, showing a 4.10% increase in net profit [14] - **iFlytek**: Known for its intelligent voice and AI solutions, it has launched new integrated machines supporting rapid deployment and data security [11] Industry Development Trends - The AI training and inference integrated machine is a key infrastructure for AI industrialization, with increasing demand for localized deployment in sectors like finance, healthcare, and government [16] - The industry is undergoing transformations such as technological integration, localized substitution, and green computing, with future developments expected in high-performance domestic solutions and multi-modal integration [16]

Group 1 - The core index of the A-share market, the China Securities Industrial 4.0 Index, closed down by 0.49% at 3904.5 points with a trading volume of 43.951 billion yuan [1] - Over the past month, the China Securities Industrial 4.0 Index has increased by 3.35%, by 12.78% over the last three months, and by 4.33% year-to-date [1] - The index reflects the overall performance of companies related to Industrial 4.0, including control hardware, control software, and terminal hardware providers [1] Group 2 - The top ten weighted stocks in the China Securities Industrial 4.0 Index include Industrial Fulian (6.27%), Zhongke Shuguang (5.42%), and Lixun Precision (5.38%) [1] - The market capitalization distribution shows that 56.43% of the index is from the Shenzhen Stock Exchange, 43.35% from the Shanghai Stock Exchange, and 0.22% from the Beijing Stock Exchange [1] - The index sample is adjusted quarterly, with adjustments occurring in the second Friday of March, June, September, and December [2] Group 3 - The industry composition of the index sample indicates that information technology accounts for 60.75%, industrial sector for 33.51%, and communication services for 5.74% [2] - Weight factors are generally fixed until the next scheduled adjustment, with special circumstances allowing for temporary adjustments [2] - Companies that are delisted or undergo mergers, acquisitions, or splits will be handled according to the calculation and maintenance guidelines [2]

Group 1 - The 27th China Association for Science and Technology Annual Conference featured a forum on "6G Technology Innovation and Future Industry Development" held in Beijing, focusing on the future direction, opportunities, challenges, and research achievements of 6G technology [1] - Keynote speeches included topics such as "Exploring 6G Innovation with AI as the Engine" by Professor Wu Hequan and "Continuous Innovation in 5G/6G Requires International Cooperation" by Zhao Houlin, emphasizing the importance of collaboration in advancing 6G technology [1] - Discussions on critical technologies and cutting-edge science related to 6G and AI were led by experts from various institutions, highlighting the integration of AI in enhancing 6G network security and architecture [1] Group 2 - A roundtable discussion on "Diverse Scenarios Driven 6G Networks" was hosted by Lu Lu, featuring experts from multiple universities and research institutes, indicating a collaborative effort to address the diverse applications of 6G networks [2] - A special session focused on "Youth Talent Supporting 6G Innovation Ecosystem" was moderated by Liu Guanghua, showcasing the involvement of young experts in building a sustainable innovation ecosystem for 6G [2]

Group 1 - The AI mobile concept sector increased by 3.22%, ranking 10th among concept sectors, with 25 stocks rising, including Furon Technology which hit the daily limit, and Shenghong Technology, Siquan New Materials, and Bolite with increases of 8.99%, 8.19%, and 5.39% respectively [1][2] - The AI mobile concept sector saw a net inflow of 1.209 billion yuan from main funds, with 19 stocks receiving net inflows, and 6 stocks exceeding 50 million yuan in net inflow, led by Pengding Holdings with a net inflow of 587 million yuan [2][3] - The top net inflow ratios were recorded for Furon Technology, Pengding Holdings, and ZTE, with net inflow ratios of 37.62%, 19.12%, and 8.07% respectively [3][4] Group 2 - The top stocks in the AI mobile concept sector based on net inflow included Pengding Holdings, Shenghong Technology, and ZTE, with respective net inflows of 587.12 million yuan, 324.50 million yuan, and 272.88 million yuan [3][4] - The trading performance of stocks in the AI mobile concept sector showed significant activity, with Furon Technology achieving a daily increase of 9.97% and a turnover rate of 2.92% [3][4] - Other notable performers included Siquan New Materials with an increase of 8.19% and a turnover rate of 15.11% [4]