（文章来源：每日经济新闻） 联得装备（300545.SZ）9月24日在投资者互动平台表示，公司可以为客户提供全自动PCB绑定设备，公 司相关设备目前未涉及CPO领域。 每经AI快讯，有投资者在投资者互动平台提问：请问公司有CPO光模块封装和PCB制造相关产品设备 吗？ ...

人民财讯9月24日电，联得装备（300545）9月24日在互动平台表示，公司可以为客户提供全自动PCB绑 定设备，公司相关设备目前未涉及CPO领域。 ...

Market Analysis - The A-share market exhibited a V-shaped trend with a slight decline, while the bond market experienced a pullback, and precious metals continued to rise to new highs [2][4] - The technology sector remains the main focus of the market, driven by a series of policy events and the upcoming National Day holiday, which may increase profit-taking pressure [4][6] - The market showed signs of differentiation, with a significant number of stocks declining, while semiconductor equipment and banking sectors led the gains [6] Bond Market - The bond market saw an overall decline, with long-term bonds performing weaker than short-term ones, as the 30-year bond futures contract fell by 0.67% [7][11] - The market is characterized by a tight balance, with the central bank's operations indicating a net withdrawal of funds, while short-term rates remain loose [11] - The expectation for interest rate cuts has diminished, leading to greater adjustments in long-term rates, with the 10-year bond yield rising by 1.05 basis points to 1.7980% [11] Commodity Market - Precious metals, particularly gold and silver, reached new highs, with gold prices surpassing 3750 CNY per ounce, reflecting a year-to-date increase of over 40% [8][12] - The industrial commodities market is experiencing a downturn, influenced by supply-side pressures, while precious metals are expected to maintain a strong upward trend due to global liquidity conditions [10][12] - The market is witnessing a divergence where precious metals are strong while industrial commodities are weak, driven by supply and demand dynamics [12] Investment Strategy - The report suggests a shift in market style from "technology-led" to "balanced allocation," with a focus on strong logical segments within the technology sector and the value of dividend stocks [12][14] - In the commodity sector, precious metals and non-ferrous metals are expected to benefit from global liquidity, while industrial products are influenced by supply-side dynamics [12][14] - The report highlights key investment opportunities in various sectors, including precious metals, artificial intelligence, domestic chips, and consumer goods, with a focus on monitoring economic recovery and policy developments [14]

Group 1 - The core viewpoint of the news highlights a significant surge in the computing power sector, driven by overseas news and strategic partnerships, particularly between Nvidia and OpenAI [1][3] - Nvidia and OpenAI have announced a strategic collaboration to build and deploy at least 10 gigawatts of AI data centers, utilizing millions of Nvidia GPUs, with Nvidia potentially investing up to $100 billion [3] - The cloud computing ETF, Huatai-PineBridge (159273), has seen a net inflow of over 700 million yuan in the past 20 days, indicating strong investor interest [1] Group 2 - The optical module sector is experiencing a boom due to rapid iterations of Nvidia GPUs and self-developed ASICs, leading to a doubling of bandwidth capacity with each generation [5] - The market recognizes a conversion ratio of GPU to optical modules at 1:2.5, with potential future ratios reaching 1:11.5 in certain applications [5] - The demand for computing power is driving significant capital expenditures among global cloud providers, with a projected 50% increase in capital spending to $333.8 billion by 2025 [6] Group 3 - The expansion of computing clusters, referred to as "ten thousand card clusters," is seen as a ticket to participate in the current model competition, with major operators and internet companies increasing their investments [7] - The cloud computing ETF Huatai-PineBridge (159273) aims to capture the growth opportunities in AI-driven cloud computing, covering a wide range of sectors including hardware, cloud services, and data center operations [7]

每经AI快讯，9月23日，CPO等算力硬件股盘初活跃，中际旭创涨超8%，新易盛涨超7%，天孚通信涨 超6%，胜宏科技、景旺电子、源杰科技跟涨。 每日经济新闻 ...

①摩尔线程+人形机器人+CPO，间接持股摩尔线程，推出全系列机器人电缆及112G/224G高速铜缆、空 芯光纤，这家公司拥有3.2T光互联的技术储备； ②HBM+半导体设备，这家公司的HBM检测设备已对海 外大客户批量出货，这家公司为SK集团提供晶圆缺陷检测设备。 《电报解读》是一款主打时效性和专业性的即时资讯解读产品。侧重于挖掘重要事件的投资价值、分析 产业链公司以及解读重磅政策的要点。即时为用户提供快讯信息对市场影响的投资参考，将信息的价值 用专业的视角、朴素的语言、图文并茂的方式呈现给用户。 前言 ...

Group 1: Technology Sector Performance - The technology sector has emerged as the strongest theme in the A-share market this year, with the TMT (Technology, Media, and Telecommunications) sector leading the gains, as evidenced by the communication index rising over 64% and other indices such as electronics, media, and computing increasing by over 20% [1] - Notable technology indices have seen explosive growth, with the optical module index soaring over 125% year-to-date, and more than ten concept indices, including circuit boards and humanoid robots, rising over 50% [1] - Major technology companies have reached historical stock price highs, with the leading electronics firm, Industrial Fulian, increasing over 230% this year, surpassing a market capitalization of 1 trillion yuan [1] Group 2: Hong Kong Market Highlights - The Hong Kong stock market has also performed impressively, with Tencent Holdings surpassing 600 HKD, reflecting a year-to-date increase of over 50%, and Alibaba reaching nearly 100% growth [2] - The current technology stock surge is primarily concentrated in cutting-edge fields such as artificial intelligence, innovative pharmaceuticals, and humanoid robotics, supported by solid industrial foundations and key technological breakthroughs [2] Group 3: Artificial Intelligence Developments - In the artificial intelligence sector, rapid advancements in algorithms, including large model iterations and multi-modal fusion technologies, have led to significant qualitative leaps in various applications [2] - Hardware upgrades, particularly in GPUs and advancements in edge computing, have provided robust support for the large-scale application of artificial intelligence [2] - Companies like New Yisheng have reported substantial revenue growth, with a nearly 283% year-on-year increase in revenue and a 356% rise in net profit for the first half of the year [2] Group 4: Innovative Pharmaceuticals Growth - The innovative pharmaceuticals sector has seen a solid foundation for growth due to breakthroughs in research and business development collaborations, with a rich pipeline of targeted therapies and cell treatments [3] - The total value of business development transactions in China reached 60.8 billion USD in the first half of the year, marking a 129% year-on-year increase [3] Group 5: Humanoid Robotics Market Expansion - The influx of large orders has become a new growth engine for the humanoid robotics industry, exemplified by a recent 250 million yuan contract signed by UBTECH for intelligent humanoid robot products [4] - Tesla's strategic focus on its Optimus project, predicting that 80% of its future value may come from this business, has further boosted market confidence in humanoid robotics [4]

Core Viewpoint - The article highlights the significant growth and potential of the optical communication sector in China, particularly focusing on Tianfu Communication, which has emerged as a key player in the AI-driven data center infrastructure market. The company's success is attributed to its technological advancements, strategic positioning, and the booming demand for optical modules driven by AI applications [4][22][26]. Group 1: Market Dynamics - The optical communication market is experiencing explosive growth, with the global optical module market size expected to increase from $11.2 billion in 2020 to $17.8 billion in 2024, and projected to reach $23.5 billion by 2025, more than doubling in five years [26]. - Major cloud giants are investing heavily in AI infrastructure, with Microsoft expected to spend $100 billion in fiscal 2025, Meta between $66 billion and $72 billion, and Google $85 billion, all focusing on AI data centers and GPU clusters [26]. - The "East Data West Computing" policy is accelerating the construction of domestic data centers, further driving demand for optical modules [26]. Group 2: Company Overview - Tianfu Communication, founded by Zhou Zhinong in 2005, initially focused on manufacturing ceramic sleeves for optical fibers, a market previously dominated by Japanese companies [10][12]. - The company has evolved from a single product manufacturer to a comprehensive optical device service provider, holding over 200 patents and achieving a global market share of over 40% in ceramic sleeves and 70% in optical module components within NVIDIA's supply chain [14][15][27]. - Tianfu's revenue for 2024 is projected to reach 3.252 billion yuan, a year-on-year increase of 67.74%, with net profit expected to be 1.344 billion yuan, reflecting an 84.07% growth [22]. Group 3: Technological Advancements - Tianfu Communication has adopted a vertical integration model, controlling the entire supply chain from raw materials to precision processing, which allows it to maintain a cost advantage of 15-20% over competitors [17]. - The company has successfully transitioned from passive to active optical components, with active device revenue accounting for 34.4% of total revenue by mid-2023, creating a dual-driven growth model [18]. - Tianfu is also focusing on next-generation optical communication technologies, such as Co-Packaged Optics (CPO), which are critical for overcoming bandwidth limitations in AI applications [19][20]. Group 4: Competitive Positioning - Tianfu Communication is positioned as a "stabilizer" within the "Yizhongtian" trio (including Xinyi and Zhongji), providing essential optical components for high-speed data transmission [23][24]. - The company has secured significant contracts, including a $200 million order from NVIDIA, making it one of the few global suppliers of 800G optical modules [24]. - Tianfu's operational efficiency is highlighted by its low expense ratio of 12.5% and strong cash flow, enabling it to expand its international presence and mitigate geopolitical risks [22].

Group 1 - The recent significant increase in prices of DDR4/LPDDR4X memory chips is driven by the surge in demand from AI and supply constraints due to production cuts by manufacturers [1] - The rise of AI large models is pushing the storage sector to the forefront of technological challenges, emphasizing the need for higher transmission speeds, data storage capacity, and specifications [1] - Chip technology stocks have shown strong performance, with notable increases in various semiconductor ETFs and stocks [1] Group 2 - Key technologies for large-scale AI computing include advanced packaging multi-chip interconnect technology, advanced process foundry, and near-memory computing [2] - Multi-chip interconnect is crucial for expanding AI computing power, as traditional copper interconnect faces challenges in high-frequency and high-speed transmission scenarios [4] - NVIDIA highlighted the importance of data centers in the AI era, focusing on network technologies that combine multiple GPUs into a super-scale GPU [4] Group 3 - NVIDIA's upcoming products, such as the Spectrum-X Photonics Ethernet switch and Quantum-X switch, aim to eliminate bottlenecks in traditional architectures, providing high performance and energy efficiency for modern AI factories [5] - Near-memory computing technologies, represented by HBM, are essential for AI chips, with advancements expected from HBM3E to HBM4 by 2026-2027 [5] - The industry is addressing computing power challenges from multiple dimensions, with new server models being launched to meet the growing demand for AI capabilities [8] Group 4 - Storage performance is critical for maximizing GPU efficiency, and while solutions for previous bottlenecks exist, there remains a significant cost gap between NAND and HDD technologies [9] - The semiconductor industry is focusing on technological upgrades and domestic breakthroughs in storage, which are positively impacting the secondary market [9]

Group 1 - The Hong Kong stock market saw an overall increase, with the Hang Seng Tech Index rising over 5% last week, driven by strong performance in the technology sector due to favorable AI news both domestically and internationally [1][3]. - The core focus of the market remains on AI, with significant investments in global computing infrastructure accelerating. OpenAI signed a $300 billion, five-year computing procurement agreement with Oracle, highlighting the immense demand for cloud resources for AI inference and training, resulting in Oracle's stock surging over 35% [1][3]. - NVIDIA announced a $5 billion investment in Intel, initiating multi-generation chip collaborations that encompass joint development for data centers and PCs, indicating a shift in the computing ecosystem from single chips to platform and system-level integration, leading to a 20% increase in Intel's stock [1][3]. Group 2 - Microsoft disclosed progress on building the world's largest AI data center in Wisconsin, along with an additional $4 billion investment, further validating the acceleration of capital expenditures in the AI sector [1][3]. - Technological advancements in optical interconnects and Co-Packaged Optics (CPO) are becoming focal points, with industry experts predicting a continuous decrease in CPO energy consumption, facilitating large-scale AI cluster deployments. Recent demonstrations by companies like Broadcom indicate that the pace of these advancements is accelerating [1][3]. - The combination of capital investment and technological breakthroughs is clarifying the upgrade path for "computing - interconnect - storage - systems," laying a solid foundation for future expansion of AI infrastructure [1][3]. Group 3 - In contrast, Meta's release of smart glasses and EMG wristbands garnered market attention but did not result in significant premium pricing. Investors are more inclined to bet on strong, quantifiable computing expansion, leading to a concentration of funds in chip, semiconductor, and large model-related sectors [2][4]. - Overall, technology remains the core sector driving market sentiment, which remains active under the expectations of AI industrialization [2][4].