Core Viewpoint - The article discusses the recent developments in the Ascend industry chain, particularly focusing on Huawei's potential orders and product launches related to AI computing cards in South Korea, indicating a significant market interest and potential growth in domestic alternatives for technology products [2][3][4]. Group 1: Huawei's Orders and Product Launches - There are rumors about Huawei receiving an order of 50 billion, but it has been confirmed that a previous order of around 10 billion was placed, with further cooperation expected, although the exact amount remains unclear [3]. - Regardless of the exact figures, it is evident that the orders for Ascend products are substantial, reflecting a positive outlook for domestic replacement chains in the upcoming year [4]. Group 2: Ascend Product Roadmap and Supply Chain - Huawei announced its product roadmap at the All-Connect Conference on September 18, detailing the launch of the 950PR in Q1 2026, along with other series products planned for 2026-2028 [5]. - The 950PR will focus on upgrading interconnect bandwidth, enhancing cluster and training capabilities, with significant value added in the inter-chip connections [5]. Group 3: Connector Component Analysis - The market value for the Ascend 8-card machine is estimated to be between 55,000 to 60,000, with potential for higher value in super nodes like CM384 [7]. - The discussion around "optical replacing copper" does not apply to the copper connections used in Ascend servers, as the high-speed backplane connection cables are essential for short distances, indicating a coexistence of copper and optical connections in the future [11]. Group 4: Strategic Partnerships in Gas Turbines - Jerry's announcement of a strategic partnership with Kawasaki Heavy Industries aims to provide efficient, low-carbon, and intelligent power solutions for global AI data centers and industrial manufacturing [13]. - This partnership is expected to alleviate concerns regarding Jerry's resource availability in gas turbines, especially in a market with high demand and stringent policy requirements [13].

Core Viewpoint - The article discusses the launch of the new generation SPU IP "Shanhai" S30FP/S30P by Arm Technology (China) Co., Ltd, highlighting its five core advantages that establish it as a benchmark in the high-performance computing chip security sector. Group 1: Strong Anti-Physical Attack Capability - The "Shanhai" S30FP/S30P has a robust hardware/software anti-physical attack system designed to counter threats such as SPA, DPA, and fault injection, thereby reinforcing the security foundation of the chip [3][5]. - The product adheres to the Common Criteria Protection Profile PP-0117 and "National Secret Level 2" standards, ensuring effective resistance against various malicious intrusions [5]. - The anti-physical attack design includes specialized circuit designs and shielding techniques, achieving industry-leading capabilities that meet high-level information security certification requirements [5]. Group 2: Strong Functional Safety Certification - The "Shanhai" S30FP has achieved ASIL D certification, the highest level of functional safety, making it suitable for critical applications in smart vehicles, industrial control, and medical devices [6][8]. - The certification process involves rigorous assessments across hardware design, software development, and testing, ensuring high reliability even in extreme conditions [6]. - The product's flexible configuration allows it to adapt to different safety requirements, balancing functionality and cost for various applications [8]. Group 3: Wide Adaptability for Information Security - The "Shanhai" S30FP/S30P supports a comprehensive range of algorithms, including symmetric, asymmetric, and hash algorithms, enabling it to meet diverse information security needs across different scenarios [9][11]. - The product's configurable capabilities allow customers to tailor algorithm modules and security functions based on specific requirements, enhancing its applicability in various fields [12]. Group 4: Rich Isolation Levels - The "Shanhai" S30FP/S30P features a dedicated HSM subsystem and multiple isolation mechanisms to ensure the secure operation of multiple trusted applications (TAs) [13][14]. - This design prevents vulnerabilities in ordinary applications from affecting sensitive applications, thereby safeguarding key management and data integrity [13]. - The isolation mechanisms enhance system fault tolerance, ensuring stability even when individual TAs encounter issues [14]. Group 5: Strong Complementary Protection - The "Shanhai" S30FP/S30P supports Arm TrustZone and hardware virtualization technologies, creating a system-level security collaboration that enhances overall security capabilities [15][16]. - This integration allows for the secure execution of sensitive operations and the isolation of different application scenarios, particularly in data centers and cloud-native environments [15]. - The ecological collaboration with Arm architecture provides a unique competitive advantage, enabling seamless integration with other Arm products for comprehensive security solutions [17]. Conclusion - The five core advantages of the "Shanhai" S30FP/S30P collectively position it as a leading product in the high-performance computing chip security domain, with strong anti-physical attack capabilities, high-level functional safety certifications, broad adaptability, rich isolation levels, and robust ecological collaboration [17].

Core Insights - The article discusses the overseas expansion of companies in the NV chain and Google chain, highlighting potential growth opportunities in these sectors [5]. Group 1 - The article emphasizes the importance of identifying new industrial growth points through the analysis of overseas enterprises in the NV and Google chains [3]. - Detailed data regarding the performance and strategies of these companies can be found in the knowledge-sharing platform mentioned [5].

Core Viewpoint - The article focuses on the capital expenditure outlook of the four major cloud service providers in the U.S. (Amazon, Microsoft, Google, and Meta) in relation to the AI industry, predicting record-high spending in 2025 and continued growth into 2026 [2][3]. Group 1: 2025 Capital Expenditure Outlook - The capital expenditure for data centers by the four major cloud service providers is expected to grow by 65% year-on-year in 2025, up from a previous estimate of 57% [6][7]. - The absolute increase in capital expenditure for 2025 is projected to exceed $115 billion, surpassing the previous estimate of over $100 billion, marking the highest level in the past decade [6][7]. - Each provider is expected to contribute over $20 billion to this increase, with Meta and Google leading with growth rates above 75%, while Microsoft and Amazon follow with growth rates above 50% [7][12]. Group 2: 2026 Capital Expenditure Outlook - The growth trend in capital expenditure is expected to continue into 2026, with an anticipated increase of over $150 billion, significantly higher than the previous estimate of over $80 billion [11][17]. - The growth rate for 2026 is projected to be above 50%, although this is a slowdown compared to 2025's forecasted growth [17][18]. - Each provider's absolute expenditure increase in 2026 is expected to be no less than $30 billion, with Meta and Google maintaining a growth rate above 60%, while Amazon and Microsoft are expected to have growth rates above 40% [18][21].

谷歌为什么要收购Intersect ？ 1、按照谷歌自己的说法，此次收购旨在加速谷歌数据中心容量扩张、能源开发与创新，特别是支持谷歌云和AI需求增长。同时，推动先进能源技术商 业化（如先进地热、长时储能、带碳捕获的天然气发电），利用AI优化电网连接，并提升能源效率，而不将成本转嫁给电网用户。 2、这是美国的CSP们都面临的一个问题，AI数据中心的电力需求预计到2026年将翻倍，而美国电网面临35吉瓦的电力缺口。收购Intersect允许谷歌控制 能源供应链，确保稳定供电和成本控制，而不是依赖第三方公用事业公司。这被视为AI竞争力的关键， 因为电力已成为稀缺资源，而非GPU芯片。 3、美国的政策原因：特朗普政府（包括川普、能源部长Chris Wright和商务部长Howard Lutnick等）多次公开鼓励、推动和政策支持 hyperscalers为数据 中心自建或共址发电设施（如天然气、核能或微电网），以避免过度依赖老化电网、防止电价上涨转嫁给普通居民，并加速AI基础设施建设。 4、其他CSP们在电力合作上的行动： 亚马逊通过核能主导其数据中心电力策略，与Talen Energy签署长期电力购买协议（PPA） ...

先说液冷。 今日液冷板块延续强势，龙头英维克在全市场超4000家下跌的悲观情绪下逆势涨停。我们认为今天 液冷板块强势除了前些日出海订单持续超预期的催化外，还与今天字节资本开支信息发酵相关，毕 竟明年起，国内液冷市场将也会呈现爆发增长。 目前国内的超节点都是液冷的形态，除了曙光是浸没式液冷，其他都是冷板式液冷。 这里再补充一点H200的事， 假如H200最终放开，那进到国内的基本都是8卡机，都是风冷的 ；包括 国内厂家的8卡机，也都是风冷为主。 大家对国内液冷市场盈利能力的担忧主要来源于与国内储能液冷市场的横向对比，认为液冷技术门 槛有限，在国内比较卷的商业环境下难有好的利润率。国内经商环境比较卷这点并否认，但储能液 冷与数据中心液冷在应用及适配门槛上差距还是比较大，从适配周期来看，数据中心液冷适配周期 显著长于储能液冷，数据中心液冷新供应商导入周期短则1年，长则2-3年，而储能液冷新供应商导 入最快速度平均在3-6个月，本质还是赛道成熟度及终端产品用途差异所致。国内数据中心液冷的毛 利，对于成本管控能力较强的液冷厂商，可以做到25%左右。 关于昇腾链，也就是国产链，我本来计划元旦前写一篇关于明年的展望时，分析 ...

PCB - There are two rumors regarding PCB: the first is that the Rubin switch tray's PCB material system is confirmed to be upgraded from the original M9 resin + second-generation fiberglass cloth to a higher-performance M9 resin + Q cloth solution, which could increase the demand for Q cloth by 6 million to 15 million meters, with stockpiling potentially reaching over 20 million meters [2] - The second rumor involves Google considering upgrading its TPU V8 to EM896K3 (Q-glass M9), but confirmation from industry sources regarding the Rubin switch tray's upgrade to M9 + Q cloth has not been established yet [2][3] Optical Modules - Tianfu's optimistic profit forecast for next year is at 80 million, but the current estimate remains at 60 million or slightly above, with a projected 60% quarter-on-quarter growth in 200G EML supply, equating to 1.6T shipments [6] - There are concerns regarding the compatibility of Tianfu's production line with Lumentum's chips, indicating a need for further adjustments to meet the 200G EML demand [6] Power Industry - A significant power outage occurred in San Francisco, affecting approximately 130,000 households and businesses, which is about one-third of the Pacific Gas and Electric Company's customers in the city [7] - The outage was attributed to overloaded core substation equipment, highlighting the strain on California's power grid due to the rapid increase in data center construction, with over 320 data centers expected by November 2025 [8] - The average age of key power equipment in California is around 40 years, with a significant portion nearing or exceeding their service life, contributing to the vulnerability of the power grid [8]

Core Viewpoint - The article emphasizes that the competition in the AI data center sector is increasingly focused on electricity and energy efficiency, with North America's electricity shortage expected to be a major topic in the coming year, driving demand for gas turbines and related equipment [2]. Group 1: Industry Demand and Trends - The gas turbine industry is expected to experience sustained demand due to North America's electricity shortage, leading to upward revisions in EPS and performance growth metrics across the sector [2]. - Key potential events that could drive industry sentiment include price increases in gas turbines, performance updates from major players like Siemens Energy, GE, and Mitsubishi, and ongoing strong performance from domestic and international gas turbine supply chain companies [2][3]. - The article outlines a three-dimensional improvement in the industry characterized by increased shipment volumes, rising prices due to shortages, and improved profit margins through cost reductions and efficiency gains [3]. Group 2: HRSG Demand and Supply Dynamics - HRSG (Heat Recovery Steam Generators) are critical components in natural gas combined cycle power generation, accounting for 30-40% of the capacity of gas turbine units, and are essential for addressing the growing electricity gap in North America [4]. - The average price of HRSG units is estimated to be between $9 million and $10 million, with significant economic returns for power plants, enhancing their internal rate of return (IRR) [4]. - The supply of HRSGs to North America is constrained by various barriers, including policy restrictions that prevent the import of Chinese-made equipment, resulting in a tight supply situation [5][6][7]. Group 3: Supply Chain Challenges - The construction of HRSG production capacity overseas faces significant challenges, including the need for skilled labor, stringent regional requirements for factory approvals, and high technical standards that exceed domestic capabilities [8][9]. - The article notes that the current supply of HRSGs capable of serving North America is limited, with only a few production lines in countries like Thailand, South Korea, and Vietnam [10][11]. - A projected supply-demand gap for HRSGs in North America is expected to persist from 2026 to 2030, with an average shortfall of 20-30%, potentially reaching a peak gap of 40-50% in 2027-2028 [10][11]. Group 4: Price Expectations - Given the significant supply-demand gap, HRSG prices are expected to rise by over 20% by 2026, with prices potentially doubling by 2028 compared to 2025 levels [11]. - The article suggests that the price elasticity of HRSG products will be high due to their relatively low value contribution, indicating that prices will increase in response to supply shortages [11].

Market Overview - The US stock market showed mixed performance this week, with the Dow Jones index declining by 0.67%, while the Nasdaq and S&P 500 indices increased by 0.48% and 0.1% respectively [3] - The fluctuations in the AI power and computing sectors were significant, driven by key events related to Oracle and OpenAI [4] Key Events Impacting AI Power and Computing - The core event causing volatility was the financing situation involving Oracle and OpenAI, particularly the news that Blue Owl Capital would not fund a $10 billion deal for Oracle's new data center [6][7] - Conversely, OpenAI reportedly secured $100 billion in funding led by a UAE sovereign fund, raising its valuation by $80 billion and alleviating concerns about Oracle's financial stability [8] AI Power Sector Analysis - Key companies in the AI power sector, Bloom Energy (B.E) and GE Vernova (GE.V), experienced declines of 6.49% and 2% respectively over the week, but rebounded significantly on Thursday and Friday, with B.E rising over 10.7% and GE.V over 2.9% [9] - The initial decline was attributed to lowered expectations for AI capital expenditures, leading to a decrease in power demand growth forecasts [9] - The recovery in the latter half of the week was driven by a reversal of negative sentiment regarding AI power sector valuations [10] AI Computing Sector Analysis - The AI computing sector showed a strong performance overall, with key stocks like Nvidia rising over 3.9%, Oracle over 6.6%, and Lumentum over 10% [10] - The initial weakness was linked to increased uncertainty regarding AI capital expenditures, which negatively impacted growth expectations for AI hardware and software [10] - The subsequent recovery was a result of a reversal in negative market sentiment, leading to improved valuation expectations for the AI computing sector [10] AI Power and Computing Export Logic - The article discusses the export logic for AI power and computing, emphasizing the importance of tracking specific data points related to each segment [11][12] - For instance, the HRSG (Heat Recovery Steam Generator) market is highlighted, with a significant supply gap of over 30% in North America, leading to strong price increases [13][14] - The demand for SOFC (Solid Oxide Fuel Cells) is also noted, with major tech companies like Meta and Google showing interest in large-scale orders [15] Industry Information - The liquid cooling market is expected to see optimistic demand growth, with significant orders anticipated from major tech firms [18][19] - The PCB market is experiencing tight supply conditions, leading to price increases, while the optical module market is facing extreme capacity constraints [19]

Core Viewpoint - The launch of the scaleX 10,000-card AI supernode by Zhongke Shuguang marks a significant milestone in China's AI computing power history, entering the era of 10,000-card supernodes [1][3]. Group 1: Development of AI Computing Power - The establishment of the scaleX 10,000-card supernode represents a new answer to the development path of China's AI computing infrastructure [3]. - Three years ago, China's AI computing power system heavily relied on NVIDIA for GPU acceleration, NVLink technology, and CUDA software, creating a dependency on a single supplier [4]. - The turning point came with export restrictions on NVIDIA chips, prompting domestic manufacturers to explore alternative computing power systems [4]. Group 2: Competitive Landscape - Major players like Huawei, Inspur, and Alibaba are entering the AI supernode market, each adopting different technological routes [5]. - Huawei has taken a "fully self-developed" approach, while Inspur and Alibaba focus on "open architecture" to build a domestic AI computing foundation [6]. - The scaleX 10,000-card supernode consists of 16 scaleX640 supernodes, totaling 10,240 AI accelerator cards and exceeding 5 EFlops in computing power [7]. Group 3: Technological Innovations - The scaleX640 supernode features a self-developed scaleFabric high-speed network with a bandwidth of 400 Gb/s and an end-to-end latency of less than 1 microsecond [7]. - The system supports multiple brands of accelerator cards, indicating a shift towards a diversified computing power ecosystem in China [7]. Group 4: Industry Trends - The trend of "de-NVIDIA" is driven by the need for computing power security and independent innovation in China, especially following U.S. export restrictions on high-performance GPUs [8]. - The domestic AI industry is not merely replicating NVIDIA but aims to establish a complete, replaceable computing power ecosystem [8]. - The development paths of closed-stack integration, represented by Huawei, and open collaboration, represented by Shuguang, Inspur, and Alibaba, are emerging as two significant trends in the industry [8]. Group 5: Application and Impact - Various products have already been deployed, with Huawei's CM384 and Inspur's SD200 being used in operational data centers [9]. - The open architecture approach has facilitated the large-scale application of domestic chips, moving away from reliance on NVIDIA's ecosystem [9]. - The year 2025 is seen as a turning point for China's AI computing power system, emphasizing the importance of both performance and collaborative ecosystems [11].