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]

主力资金监控：电子板块净流入超38亿 | 排名 | 板块名称 | 主力资金净流出(亿元) | 主力资金净流出率(%) | | --- | --- | --- | --- | | 1 | 失药 | -17.05 | -2.76 | | 2 | 电新行业 | -16.40 | -2.23 | | 3 | 电网设备 | -9.68 | -5.08 | | ব | 轻工制造 | -9.08 | -6.01 | | ട | 国防军工 | -8.15 | -3.31 | 星矿主力资金监控：早盘买入前十榜（截止时间： 10 时 50 分) | 排名 | 股票名称 | 主力资金净流入(亿元) | 主力资金净流入率(%) | | --- | --- | --- | --- | | 1 | N吃唐 | 4.87 | 25.29 | | 2 | 浪潮信息 | 3.50 | 16.28 | | 3 | 工业富联 | 3.21 | 5.35 | | 4 | 国际复材 | 2.92 | 24.27 | | 5 | 沪电股份 | 2.41 | 9.50 | | 6 | 胜宏科技 | 2.41 | 6.23 | | 7 | 通威股份 | 2 ...

Group 1 - The 15th "Star Craftsman" Challenge attracted 2,327 teams from 201 universities across China, with winners from Heyuan Vocational Technology College and Jiangxi Software Vocational Technology University [1][2] - The competition featured three tracks, focusing on 5G and data communication, with an emphasis on artificial intelligence this year, including an AI training innovation design competition for teachers [1][2] - The event is recognized as a model for industry-education integration, fostering collaboration among leading enterprises, universities, and research institutions to enhance talent development [2][4] Group 2 - Winners received certificates and cash prizes, along with ZTE's "5G NR" and "Routing & Switching" certification, promoting skill enhancement and career development [4] - ZTE plans to deepen strategic cooperation with universities through joint laboratories and customized courses, aiming to create a comprehensive talent development loop [4] - The digital economy in China is projected to exceed 60 trillion yuan by 2025, highlighting the need for collaborative efforts among industries, enterprises, and educational institutions to address talent shortages [2]

Group 1 - The "Star Craftsman" competition, organized by ZTE Corporation, aims to cultivate practical talents in the ICT field, with a focus on AI this year, building on last year's emphasis on 5G applications [1][2] - The competition highlights the need for versatile and practical talents in the industry, as evidenced by a task requiring participants to design and manage a complete 5G network [2] - The event has successfully integrated industry, education, and research, creating a positive ecosystem that supports talent development and addresses industry needs [2][3] Group 2 - The "New Quality Productivity Digital Talent White Paper" indicates that by 2025, China's digital economy is expected to exceed 60 trillion yuan, with a talent gap of 30 million [3] - ZTE plans to deepen strategic cooperation with universities to create a comprehensive talent training system that combines theory, practice, and innovation [3] - The competition saw participants from 201 institutions, with top awards going to teams from Heyuan Vocational and Technical College and Jiangxi Software Vocational Technical University [3]

Group 1 - The collaboration between Xi'an Jiaotong University and ZTE Corporation has created a comprehensive employment education system that enhances students' career development through various initiatives [3][5] - The "Xing Ren Lei" career development association, established by ZTE at Xi'an Jiaotong University in 2011, has facilitated numerous activities such as lectures, competitions, and practical projects to foster mutual understanding and growth between students and the company [1][2] - The "5G Wireless Communication Elite Class" was launched in partnership with ZTE to address the growing demand for talent in the 5G sector, featuring a dual mentorship system that combines academic and industry expertise [3][4] Group 2 - The Global Elite Challenge and Mock Interview Competition organized by ZTE not only help identify potential talent for the company but also serve the educational purpose of nurturing students [2] - The "Elite Class" model has been replicated across various fields such as artificial intelligence and big data, resulting in the establishment of 26 specialized classes and the training of over 1,600 outstanding students [4][5] - Xi'an Jiaotong University has established 227 joint research institutes with enterprises, significantly increasing the number of graduates employed by leading companies, thus enhancing the quality of employment through deep collaboration [5]

Investment Rating - Industry rating: Recommended [6] Core Insights - The GB300 is expected to start volume production in the second half of the year, with significant advancements in AI performance and capabilities [1][8] - The central government emphasizes high-quality development of the marine economy, with wind power generation rapidly increasing, accounting for over 12% of total power generation [2][10] - There is a strong growth in overseas AI demand, particularly from new enterprises, driving high capital expenditure in AI [3][14] Summary by Sections GB300 Launch - CoreWeave announced the first market delivery of the NVIDIA GB300 NVL72, featuring advanced AI performance with over exaflop capabilities and significant improvements in user response speed and throughput [1][8] Marine Economy Development - The central government is focusing on enhancing the marine economy through policy support and encouraging social capital participation, with wind power generation capacity rapidly increasing [2][10] Investment Recommendations - The report recommends focusing on the AI capital expenditure and related sectors, highlighting the growth potential in the optical module industry and PCB supply chain [3][14] - Specific beneficiary stocks include NewEase, Zhongji Xuchuang, and Tianfu Communication in the optical module sector, and China Telecom, China Mobile, and China Unicom in the telecommunications sector [3][16][17] - The marine economy sector is also highlighted, with companies like Zhongtian Technology and Hengtong Optic-Electric being potential beneficiaries [4][15]