根据市场公开信息及4月7日披露的机构调研信息，知名私募高毅资产近期对1家上市公司进行了调研，相关名单如下： 1）中际旭创 （上海高毅资产管理参与公司电话会议） 调研纪要：中际旭创在机构调研中表示，芯片来源多样化，EML光芯片预计从二季度起缓解；1.6T产品二季度出货量增加，下半年预计大量部 署；非美国地区出口比例增长，降低关税负担；税率分担策略仍在研究中；800G和400G需求量不错，维持此前需求指引；CPO技术尚需较长时间 成熟，公司正投入研发；预计2026年1.6T产品大规模部署，算力需求持续增加。 机构简介： 上海高毅资产管理合伙企业（有限合伙）是国内投研实力较强、管理规模较大、激励制度领先的平台型私募基金管理公司，专注于资本市场，致 力于为优秀的投资经理配备一流的研究支持、渠道资源、品牌背书、资本对接和运营维护，打造以人为本的企业文化和扁平化的组织架构，让优 秀的投资经理专注于投资，全力以赴地为投资者创造更佳的收益。高毅资产旗下汇聚了多位长期业绩优秀、市场经验丰富的明星投资经理。目前 投研团队超过30人，投资经理包括千亿级基金公司投资总监、股票型基金8年业绩冠军、偏股混合型基金6年业绩亚军、公募基金十 ...

Group 1: Impact of Tariffs - The company is currently researching relevant tariff policies, including evaluating the proportion of product value eligible for tariff exemptions and will submit applications if requirements are met [3] - Overseas customers have not adjusted any demands or orders since the imposition of additional tariffs, nor have they requested changes to existing trade terms [3] - The company has the capability to produce optical modules at its Thailand factory and can deliver products accordingly [3] Group 2: Investor Q&A Highlights - The company sources high-end optical chips from both the US and other countries, and can ship imported chips directly to its Thailand factory for production [4] - The overall supply of EML optical chips is still tight in Q1, but is expected to ease in Q2 and the second half of the year due to increased output from chip manufacturers [4] - The shipment volume of 1.6T products is expected to increase from Q2, but overall demand has decreased compared to the previous year due to customer demand being deferred [4] Group 3: Market Trends and Future Outlook - The demand for 800G and 400G modules remains strong as global CSP manufacturers adopt Ethernet switch technology for AI data centers [7] - The CPO technology is still in the early stages of development and will take time for widespread acceptance and deployment [7] - There is an expectation for larger-scale deployment of 1.6T products in 2026, driven by increasing demand for computing power in AI applications [7]

Industry Rating - The industry investment rating is maintained at "Outperform the Market" [1] Core Viewpoints - CPO technology integrates ASIC chips and optical engines on the same high-speed motherboard, reducing signal attenuation, system power consumption, and costs while achieving high integration, applicable in data centers, high-performance computing, AI, and virtual reality [2] - The CPO market is expected to grow rapidly, with Yole predicting a market size of $2.6 billion by 2033, driven by AI demand and requiring collaboration across the industry chain [2] - Major overseas companies are leading the CPO industry development, with significant advancements from Broadcom, Marvell, TSMC, and NVIDIA [2][3] Summary by Sections 1. CPO Technology and Development Trends - CPO technology addresses bandwidth and power challenges, with a 25%-30% reduction in total power consumption for 51.2T switches compared to traditional solutions [12] - CPO technology offers low power consumption, low latency, high bandwidth, improved system performance, and cost-effectiveness [15] - Silicon photonics is becoming the main path for CPO technology due to its high integration and compatibility with CMOS processes [18] 2. CPO Market Size and Major Drivers - The CPO market is projected to grow at a CAGR of 69% from $600,000 in 2022 to $287 million in 2033, while OIO is expected to grow at a CAGR of 81% from $500,000 to $2.3 billion [31] - Major players in the CPO market include Broadcom, Intel, NVIDIA, and Marvell, with significant contributions from laser manufacturers and silicon photonics foundries [35] 3. CPO Switch Internal Structure - CPO switches consist of key components such as ASIC chips, optical engines, external light sources, and flexible optical backplanes [63] - The optical engine is crucial for optical-electrical conversion, with various packaging methods impacting performance and integration [67] 4. Recommended Companies to Watch - Companies actively involved in CPO technology include: - Zhongji Xuchuang, focusing on high-end optical communication modules and CPO-related products [96] - Xinyi Sheng, leveraging silicon photonics technology for CPO applications [101] - Tianfu Communication, developing multiple projects related to CPO components [106] - Taichuang, specializing in optical communication devices and flexible boards [111] - Yuanjie Technology, providing CW light sources for CPO applications [116] - Shijia Photon, offering components for CPO packaging [121] - Guangxun Technology, launching CPO ELS light source modules [126] - Robotech, focusing on silicon photonics and CPO packaging equipment [131] - Ruijie Network, releasing CPO switches with significant market presence [136]

Investment Rating - The industry maintains a "stronger than market" rating, indicating an expectation that the overall industry performance will outperform the market in the next six months [6][7]. Core Insights - NVIDIA's new generation of AI chips, announced at the GTC 2025 conference, significantly enhances computing power, creating new opportunities in the AI supply chain [2][6]. - The Blackwell Ultra and Vera Rubin platforms show performance improvements of 1.5 times and 3.3 times, respectively, with the latter expected to launch in the second half of 2026 [2][3]. - The demand for HBM memory is projected to grow substantially, with a near 200% growth rate expected in 2024 and a potential doubling in 2025 [3]. Summary by Sections Investment Ratings for Specific Companies - Luxshare Precision (002475.SZ) is rated as "Buy" with an expected EPS of 1.9 in 2024 and 2.38 in 2025, and a PE ratio of 21.44 for 2024 and 17.11 for 2025 [1]. - Jiangbolong (301308.SZ) is rated as "Add" with an expected EPS of 1.13 in 2024 and 2.37 in 2025, and a PE ratio of 93.69 for 2024 and 44.67 for 2025 [1]. - Lianrui New Materials (688300.SH) is also rated as "Add" with an expected EPS of 1.35 in 2024 and 1.8 in 2025, and a PE ratio of 43.73 for 2024 and 32.8 for 2025 [1]. Technological Developments - The introduction of CPO technology and optical networks is becoming a focal point in data center construction, enhancing the value of the optical communication industry chain [4]. - The global optical transceiver market is expected to grow by USD 12.56 billion from 2025 to 2029, with a compound annual growth rate (CAGR) of 17.5% [4]. Cooling Solutions - Liquid cooling technology is becoming essential for AI data centers, with NVIDIA showcasing advanced liquid cooling management systems that significantly improve thermal efficiency [5]. - The power requirements for the new Rubin Ultra architecture are projected to be approximately 4.5 times higher than the previous Blackwell architecture, necessitating advancements in power supply and cooling systems [5].

Core Insights - The event highlighted the transformative shift in data centers towards AI-driven computing, with projected capital expenditures exceeding $1 trillion by 2028 for data center construction, primarily focused on accelerated computing chips [2][12][13] - NVIDIA's Blackwell architecture is fully operational, showcasing significant performance improvements and a roadmap for future products like Rubin and Feynman, which promise substantial enhancements in computational power and efficiency [3][42][45] - The introduction of the Quantum-X CPO switch and Spectrum-X technology aims to revolutionize networking capabilities, reducing energy consumption and increasing deployment efficiency [5][46] - The advancements in AI applications, particularly in autonomous driving and robotics, are supported by NVIDIA's new systems and frameworks, enhancing the development and training processes [6][26][24] Capital Expenditure and AI Infrastructure - Data center capital expenditures are expected to reach $1 trillion by 2028, with a significant portion allocated to accelerated computing chips [2][12] - NVIDIA plans to deliver 1.3 million Hopper GPUs to major cloud service providers in 2024, with an increase to 3.6 million Blackwell GPUs in 2025 [2][3] AI Model Training and Inference - The demand for computational power for AI training and inference has surged, with estimates suggesting a 100-fold increase in required computing resources compared to the previous year [10][11] - NVIDIA outlines three levels of AI: Generative AI, Agentic AI, and Physical AI, each representing a different stage of AI development and application [8][10] Product Development and Future Roadmap - Blackwell has been fully launched, with significant customer demand and performance improvements, including a 40-fold increase in inference performance compared to previous models [3][42] - Future products like Vera Rubin and Rubin Ultra are set to enhance computational capabilities further, with expected performance increases of up to 15 times [45][42] Networking Innovations - The Quantum-X CPO switch is anticipated to launch in late 2025, offering substantial energy savings and improved network efficiency [5][46] - Spectrum-X technology will provide high bandwidth and low latency, integrating seamlessly into NVIDIA's computing architecture [5][46] AI Applications in Autonomous Driving and Robotics - NVIDIA's Halos system aims to enhance safety in autonomous vehicles, while the open-source Isaac Groot N1 model supports robotics development [6][24] - The integration of Omniverse and Cosmos platforms accelerates the development of AI for autonomous driving, enabling end-to-end training capabilities [26][24] Data Center Evolution - The transition of data centers into AI factories is underway, focusing on processing, analyzing, and generating AI-driven applications [12][13] - NVIDIA's Dynamo operating system is designed to optimize AI factory operations, enhancing efficiency and performance [35][36]