Summary of Key Points from Conference Call Industry Overview - The conference call discusses the transition in AI network interconnect technology from Scale Out to Scale Up, which is driving the development of copper connections and orthogonal board technology. Future discussions will focus on in-cabinet optical connection solutions, such as NVIDIA's Ruby Ultra and Google's I/O Superpod supernode designs [1][4]. Core Insights and Arguments - **High-Density Cabinets**: NVIDIA's Ruby Ultra high-density cabinet enhances performance by increasing card density, utilizing orthogonal boards and copper wires for internal interconnects. The design splits 576 cards into four frames, achieving efficient data transmission through a Dragonfly network architecture, with a potential future shift towards optical connections [1][6]. - **Scale Up vs. Scale Out**: Scale Up focuses on streamlining protocol stacks for high-speed interconnects between AI computing cards, suitable for parallel computing. In contrast, Scale Out handles more complex tasks and typically uses public or semi-public protocols for broader communication [2]. - **Bandwidth Elasticity**: Different manufacturers exhibit significant differences in SKA optical interconnect bandwidth elasticity. For instance, NVIDIA's SKU to OUT rate ratio is approximately 9 times, while Huawei's Cloud Matrix is 7 times, and Alibaba's is 8 times. This reflects variations in UP and OUT layer structures and average selling prices (ASP) [3][9]. - **Market Trends**: The optical connection technology is expected to see significant advancements in AI networks, with a shift towards Scale Up designs anticipated to drive the development of optical connections by 2025. This includes discussions on in-cabinet optical connection solutions and supernode designs [4][5]. - **Cost and Performance Comparison**: The cost of optical modules is decreasing, with silicon optical solutions around $0.5/Gbps and EML solutions at approximately $0.6/Gbps. In contrast, copper connections, while initially cheaper, will see rising costs with upgrades [10][11]. Additional Important Insights - **Future of Optical Modules**: The optical module market has a promising outlook, with expectations for continued ASP decline. Emerging technologies like NPO and CPO are projected to lower costs further, impacting the industry's value and participation levels [12]. - **CPU's Role in Ecosystem**: The CPU's position in the ecosystem is debated, with its market share potentially affecting net margins. The transition to optical engines like NPU or future CPUs could enhance profitability [13][14]. - **Market Size Differences**: The market size for Scaler is currently larger than for Skyout, but as costs decrease, this gap may narrow. SkyUp is seen as a significant blue ocean market that is gaining attention [15]. - **Inflation Logic in Optical Module Industry**: The optical module industry exhibits significant inflation logic, with Sparse optical connections providing new opportunities. However, short-term EPS adjustments are not expected to be substantial until 2026 and beyond [16]. - **PE Expectations**: The industry is currently undervalued with a PE of around 20 times. Given the super inflation logic, a future PE of at least 30 times is anticipated, potentially reaching 40 times depending on valuation timing [17].

以下文章来源于投资界 ，作者冯雨晨 投资界 . 清科控股旗下创业与投资资讯平台 导语：A股大涨一幕。 "买你的白酒去吧，老登。" 没想到行至年末，巨头们还在创新高。 12月24日，中际旭创股价开盘冲上638元/股的历史高点，较今年低点翻超9倍，市值突破7000亿；同样，新易盛近日股价也来到468.81元/股 的至高点，市值超4500亿， 这较 年内低点足足翻了十倍；天孚通信一度行至242元/股，市值突破1800亿。 此年度金句源自大概四个月前。当时荒原资产董事长凌鹏发文质疑中际旭创2027年250亿 净利润预测的合理性 ，旋即，国盛通信分析师阅后送 上该转发语。 这场口水战没有输赢，但中际旭创股价却是一路长虹到了年关， 今日（12月24日） ，其 收盘市值 超越7000亿。放眼A股市场，光模块三巨头 中际旭创、新易盛、天孚通信三家今年因AI算力需求暴增逆袭，股价纷纷翻了好几倍。 那些嗅到机会早早涌入的投资者，在这场难得的造富机会中收获满满。现在，他们意犹未尽：下一个机会在哪？ "易中天"成就今年十倍股 今年"易中天"就这么一去不回头了。 自4月来，光模块乘AI之势起飞，中际旭创、新易盛、天孚通信三家龙头公司股 ...

Core Viewpoint - The market is experiencing a bullish trend in AI-related stocks, particularly in the context of the upcoming year-end and spring market activities, with significant inflows into the AI-focused ETF [1][3]. Group 1: Market Performance - The CPO of optical modules has reached new highs, with Zhongji Xuchuang's stock price hitting record levels [1]. - The largest and most liquid AI ETF on the ChiNext board (159363) also reached a historical high during intraday trading, with a net subscription of 42 million shares and a total transaction volume exceeding 1 billion CNY [1][3]. - The AI ETF has seen a cumulative increase of over 500 million CNY in the past ten days [1]. Group 2: Investment Opportunities - The optical module sector is expected to maintain high growth, with significant demand anticipated for 1.6T optical modules in the coming year [3]. - The AI ETF (159363) is positioned to capture opportunities in the optical module market, with over 56% of its holdings in leading companies in this sector [3]. - The ETF has a total scale exceeding 3.8 billion CNY and ranks first among seven ETFs tracking the ChiNext AI index, with an average daily trading volume of over 600 million CNY in the past month [3]. Group 3: Market Outlook - The market is expected to see a "cross-year rally" leading into a "spring surge," supported by stable inflows from domestic institutional investors and anticipated monetary easing measures [1][3]. - The infrastructure investment in overseas computing power is projected to continue its growth trajectory, indicating a robust demand for related hardware [3].

把握以光模块为核心的算力机会，建议重点关注全市场首只创业板人工智能ETF（159363）及场外联接 （A类023407、C类023408），标的指数重点布局光模块龙头"易中天"，光模块含量最新超56%。从赛 道分布看，逾七成仓位布局算力，超两成仓位布局AI应用，能够高效捕捉AI主题行情。（截至 2025.11.30） 同类对比看，截至12月23日，创业板人工智能ETF华宝（159363）最新规模超38亿元，近1个月日均成 交额超6亿元，在跟踪创业板人工智能指数的7只ETF中排行第一！ 数据来源：沪深交易所等。注："全市场首只"是指首只跟踪创业板人工智能指数的ETF。 25日早盘，光模块CPO再度冲高，中际旭创股价迭创新高，创业板人工智能盘中涨超1%刷新历史新 高。同类规模最大、流动性最佳的创业板人工智能ETF（159363）盘中一度刷新历史高点，现场内回调 逾1%，成交超1亿元，资金实时净申购4200万份，此前十日已累计加仓超5亿元。 | 分时 多日 1分 5分 · 1953 19 WAY 15800 MIT 1 6 (1) | | | | | | | | | | --- | --- | --- | --- ...

>>>> ETF早知道 >>>>> ETF早知道 ETFEFR滑 WP bao <<<< >>>>> HOFTS 2025 目早知道 Dec 25 ETFF无爱 (44) 市场温度计 >>>>> 中长期信号 · 投资看温度 ETFOF 9 -- 75% --- 75% 75% -- + 25% -- 25% -- > 25% ETF 早死漫 0.53% 0.88% 0.77% ← ← ↑ <<<< 上证指数 深证成指 创业板指 注:温度计水银条由对应指数的近十年市盈率分位数表示,总值为100%。数据来源:iFind,截至 2025.12.24，上证指数、深证成指、创业板指的近十年市盈率分位数分别为93.99%、84.2%、42.14% ETFOF B e 0 (9) 6 板块热力图 ETFEFRE <<<< 短期轮动走向·观九宫热力值 +2.88% +2.12% +1.72% 电子 国防军J 建筑材料 >>>>> TFEFRE >>>>>> TFEER ETFEED +1.69% +1.49% -0.30% 轻工制造 机械设备 银行 -0.36% -0.85% -0.70% 食品饮料 煤炭 农林牧渔 数据来源 ...

Summary of Conference Call Records Industry Overview - **AI Computing Sector**: The AI computing sector is benefiting from macroeconomic conditions and seasonal factors, with significant price elasticity observed in the optical module industry, particularly from 800G to 1.6T and the GB300 to LOBIN ratio enhancement, indicating substantial growth potential in this niche [1][2][7]. Key Insights and Arguments - **AI Market Growth**: AI is not a bubble; it is replacing human tools and has a larger market space compared to the 2000 internet bubble. The user growth rate for AI is faster than that of the internet, with companies like OpenAI rapidly increasing revenues and maintaining high GPU utilization without significant cost declines or demand collapse risks [1][4][5]. - **Liquid Cooling Industry**: The trend towards liquid cooling is solidified, with companies like DingTong Technology receiving significant orders from NVIDIA, projecting a revenue of 400 million yuan and a profit of 150 million yuan by 2026. YingweiKe is also expected to benefit from Meta's full liquid cooling chain breakthrough, with revised performance expectations of 1.3 to 1.5 billion yuan [1][6][8][17]. - **Optical Module Demand**: The optical module industry is currently in a state of supply shortage, particularly for critical materials like CW light sources and optical chips. The demand for high-speed Ethernet optical modules is expected to increase significantly as AI clusters address bandwidth and power consumption bottlenecks [9][10]. Company-Specific Developments - **Zhongji Xuchuang**: The company has entered the 1.6T delivery phase, leveraging upstream chip and light source advantages to stabilize delivery capabilities and improve gross margins. Expected revenue for 2026 is at least 35 billion yuan [10]. - **Xinyi Sheng**: Benefiting from the rapid penetration of AI clusters in high-speed Ethernet, the company is expected to achieve revenues exceeding 25 billion yuan in the coming years [11]. - **Tianfu Communication**: Deeply integrated with NVIDIA, the company is expected to see a continuous increase in market share and product structure during the transition from 800G to 1.6T, with high-end product shipments accelerating [12]. - **Zhongci Electronics**: The company has made significant progress in ceramic products for coherent optical modules, with a market share rapidly catching up to Kyocera. It is also expanding production capacity, expecting to double by 2026 [15]. - **YingweiKe**: The company is projected to achieve a market value of 200 billion yuan, with significant orders expected from major clients like Google, contributing to a substantial increase in revenue [18]. Additional Noteworthy Points - **Market Conditions**: The current market environment is optimistic, with strong performance in computing-related sectors. The recent US CPI data has reinforced the certainty and sustainability of interest rate cuts, making it a favorable time for investment [2]. - **Emerging Technologies**: The liquid cooling market is projected to reach nearly 100 billion yuan, with significant opportunities for suppliers in the A-share market [16]. - **Future Growth Potential**: Companies like DingTong Technology and YingweiKe are expected to see substantial growth in their respective sectors, driven by increasing demand for liquid cooling solutions and optical modules [8][17]. This summary encapsulates the key points from the conference call records, highlighting the current state and future potential of the AI computing and optical module industries, along with specific company developments and market conditions.

Group 1 - The core sentiment in the market is a growing anticipation for a year-end rally centered around AI, with expectations for a spring surge following the year-end [3][8] - Significant activity was noted in the computing hardware sector, with leading companies like Zhongji Xuchuang and Beijing Junzheng seeing stock increases of over 2% and 8% respectively [1][6] - The largest and most liquid AI-focused ETF, the ChiNext AI ETF (159363), experienced a closing price increase of 1.33%, marking its second-highest closing price, with a substantial net inflow of 1 billion shares on that day [1][6] Group 2 - Institutions are optimistic about the market's performance, citing stable inflows from domestic investors and potential increases in overseas investments due to the appreciation of the RMB [3][8] - Nvidia plans to deliver its second-ranked AI chip, the H200, to Chinese customers by mid-February 2024, which is expected to positively impact sales and benefit the traditional overseas computing supply chain [9][10] - The computing infrastructure investment is projected to maintain its growth momentum, with light module orders and GPU orders from Nvidia indicating a robust demand outlook [4][10] Group 3 - The ChiNext AI ETF (159363) has a current scale exceeding 3.8 billion yuan, with an average daily trading volume of over 600 million yuan in the past month, ranking first among seven ETFs tracking the ChiNext AI index [4][10] - The ETF's portfolio is heavily weighted towards computing hardware, with over 70% allocated to this sector and more than 20% to AI applications, allowing for effective capture of AI market trends [10]

Core Viewpoint - In 2025, amidst the technological wave and fluctuations in growth stocks, investors need to identify genuine long-term value, particularly in the context of the evolving landscape of AI and humanoid robots [1]. Group 1: Industry Research as Fundamental Investment Logic - Humanoid robots have been in development since 1973, with significant advancements made by companies like Tesla, which introduced the Optimus prototype in 2022, marking a shift from concept to reality [4][5]. - The research into electric vehicles and the associated supply chain has been ongoing for over a decade, with a focus on the battery systems and their components, which are crucial for understanding the broader implications of technology in manufacturing [7][8]. - The entry of internet tech giants into the automotive sector has accelerated the development of the manufacturing chain, showcasing the synergy between advancements in technology and traditional manufacturing capabilities [8][9]. Group 2: Humanoid Robots May Experience a "Model 3 Moment" - The "Model 3 moment" for humanoid robots is anticipated around 2026, where sales could surpass 100,000 units, driven by diverse application scenarios [10][11]. Group 3: Rational Perspective on the AI Boom - The AI sector is currently experiencing a bubble, influenced by the oligopolistic nature of the tech industry, with significant capital expenditure projected to rise from 1% to 3% of GDP, nearing bubble thresholds [13][14]. - The growth in AI usage, as indicated by the increase in token access from 40 trillion to an expected 400 trillion, suggests that the industry is still in its early stages [14]. - Rapid technological iterations in the industry create more investment opportunities, particularly in emerging technologies like optical modules and silicon photonics [14]. Group 4: Continued Growth in New Energy Demand - The current price-to-earnings ratio of the new energy index is approximately 30 times, indicating potential for future growth as global electrification rates remain low at 20%-30% [18]. - The demand for lithium batteries is expanding into various sectors, including low-altitude economy, AI glasses, and data centers, suggesting a robust future for the industry [18]. - Emerging sectors such as nuclear fusion and commercial aerospace are highlighted as areas of long-term investment potential, especially as China's technological capabilities continue to advance [19].

报道/投资界PEdaily "买你的白酒去吧，老登。" 此年度金句源自大概四个月前。当时荒原资产董事长凌鹏发文质疑中际旭创2 0 2 7年2 5 0 亿 净利润预测的合理性 ，旋即，国盛通信分析师阅后送上该转发语。 A股大涨一幕。 作者/ 冯雨晨 这场口水战没有输赢，但中际旭创股价却是一路长虹到了年关， 今日（1 2月2 4日） ， 其 收盘市值 超越7 0 0 0亿。放眼A股市场，光模块三巨头中际旭创、新易盛、天孚通信 三家今年因AI算力需求暴增逆袭，股价纷纷翻了好几倍。 那些嗅到机会早早涌入的投资者，在这场难得的造富机会中收获满满。现在，他们意犹 未尽：下一个机会在哪？ "易中天" 成就今年十倍股 原 因 很 简 单 。 三 家 公 司 今 年 借 势 而 起 ， 但 均 在 2 0 1 5 年 前 后 就 早 早 上 市 。 有 投 资 人 此 前 就 这 样 聊起 ： " 如 果 不 是 I PO 前的老 投资 人， 就 只能 参 与 定 增 。 如 果 定 增 也 没 机 会 ， 就 只能看着了。" 而对那些在机会 露 出苗头时就押注并选择买定离手的市场投资者们，这是一场赶上了 的财富盛宴。一位持仓 ...

近年来，AI产业摁下了"加速键"，相关算力需求迎来爆发式增长，而光模块是数据传输的基础部件，其 景气度自然超预期，来自海外科技巨头包括英伟达（NVDA.US）、谷歌（GOOGL.US）和亚马逊 （AMZN.US）的资本开支不断增加，国内光模块产业链企业订单接到手软。 行业研究机构LightCounting预测2025年全球800G光模块出货量将达1800万只-1990万只，同比增长翻 倍，这一高速增长数据，直观反映了AI应用对更高带宽的迫切需求，奠定了光模块行业的强劲增长逻 辑。剑桥科技作为高速光模块技术领跑者有望受益于行业需求高峰。 值得注意的是，12月上旬，剑桥科技公告称，拟以发行H股募集资金向境外全资子公司CIG美国增资1亿 美元，用于扩张在北美及东南亚地区高速光模块产能配套，后续公司有望提升其全球交付能力，保障供 应链安全，并更敏捷地响应海外头部客户的规模化需求，巩固公司在全球AI算力产业链中的竞争地 位。 12月24日，港股的剑桥科技（06166.HK）强势上涨，一度涨近10%，突破前期的震荡区间。截至发 稿，公司涨4.52%，报92.45港元/股，市值326亿港元。 与此同时，A股的剑桥科技（60 ...