Core Viewpoint - The computer industry index has underperformed compared to major stock indices, indicating a challenging market environment for the sector [1][2]. Market Review - During the week of November 3 to November 7, the Shanghai Composite Index rose by 1.08%, the ChiNext Index increased by 0.65%, and the CSI 300 Index gained 0.82%. In contrast, the computer (Shenwan) index fell by 2.54%, lagging behind the Shanghai Composite by 3.62 percentage points, the ChiNext by 3.19 percentage points, and the CSI 300 by 3.36 percentage points, ranking 30th among all industries [1][2]. Weekly Insights - NVIDIA is leading the trend of supernodes, a technology architecture for building large-scale computing clusters, which integrates thousands of GPUs into a single logical unit. The latest NVLink technology has reached its fifth generation, with each GPU having 18 NVLink connections, achieving a total bandwidth of 1800GB/s, significantly surpassing PCIe Gen6 [3]. - NVIDIA's upcoming NVL72, set to be released in March 2024, will integrate 36 Grace CPUs and 72 Blackwell GPUs into a liquid-cooled cabinet, delivering a total of 720 PFLOPs for AI training and 1440 PFLOPs for inference [3]. Domestic Major Players Accelerating Supernode Layout - **Inspur**: On November 6, during the World Internet Conference, Inspur launched the world's first single-cabinet 640-card supernode, achieving a 20-fold increase in computing density [4]. - **Huawei**: In April, Huawei introduced the CloudMatrix384 supernode, capable of creating a super-large cluster with over 160,000 cards. As of September, over 300 units have been sold, primarily to government and enterprise clients [4]. - **Alibaba**: At the 2025 Cloud Computing Conference, Alibaba Cloud unveiled the Panjiu 128 supernode AI server, which enhances inference performance by 50% compared to traditional architectures [5]. - **Baidu**: Announced the launch of the Kunlun supernode at the 2025 Baidu Cloud Intelligence Conference, making supercomputing capabilities available [5]. - **ZTE**: Developed a supernode server with 64 GPUs, featuring an innovative design that reduces latency to the nanosecond level [5]. - **Inspur Information**: Released the "Yuan Nao SD200" supernode AI server aimed at trillion-parameter models [5]. Investment Recommendations - Focus on companies involved in computing power such as Cambricon, Haiguang Information, Inspur, and others [6]. - Consider AIDC-related firms like Kehua Data and Yunse Intelligent [6]. - Explore AI application companies including Kingsoft Office, iFlytek, and others [6].

Core Insights - The eighth China Enterprise Forum emphasizes the importance of innovation in reshaping growth engines and enhancing global competitiveness [1] - Chinese enterprises play a crucial role in shaping global innovation patterns and promoting sustainable development [2] Group 1: Innovation and Growth - Enterprises are key components of the global economic system, and innovation is essential for reshaping growth dynamics and countering external uncertainties [1] - Continuous optimization of technology innovation mechanisms and incentive systems is supported by the State-owned Assets Supervision and Administration Commission [1] - The integration of ESG principles into corporate strategies is vital for building competitive advantages and benefiting society [5] Group 2: Sustainable Development - The transition to low-carbon energy and the promotion of green technologies are critical for achieving sustainable development [4][5] - Collaboration between international partners is essential for addressing energy security and achieving sustainable development goals [7] - The modernization of power grids, particularly ultra-high voltage grids, is crucial for stable green electricity supply [4] Group 3: Global Cooperation - Joint innovation between Chinese and foreign enterprises is key to creating future opportunities and addressing geopolitical challenges [7] - The establishment of regional supply chain collaboration networks can enhance resilience and risk management in complex environments [7][8] - Cross-border cooperation in green finance and technology sharing can facilitate the scaling of green projects [4] Group 4: Market Dynamics - The changing cost structure of global supply chains necessitates a reevaluation of local market relationships by multinational companies [8] - The current global supply chain is undergoing deep adjustments, and open cooperation is essential for achieving win-win outcomes [8]

Core Insights - The demand for AI computing power is accelerating from single-point breakthroughs to system-level integration, with "super nodes" emerging as a new product form to overcome traditional computing bottlenecks [1][2] - Major Chinese tech companies are leading the development of super nodes, with Huawei and Alibaba launching advanced AI server products that significantly enhance computing capabilities [1][4] Group 1: Super Node Development - The super node architecture is defined as an AI system composed of AI computing nodes interconnected through high-speed protocols, supporting 32 or more AI chips with bandwidth of at least 400GB/s [2] - Huawei's CloudMatrix384 super node integrates 384 Ascend NPUs and 192 Kunpeng CPUs, achieving a single-card inference throughput of 2300 Tokens/s [1][3] - Alibaba's new generation Panjiu 128 super node AI server features self-developed CIPU 2.0 chips and supports 128 AI computing chips in a single cabinet [1][4] Group 2: Global AI Infrastructure Trends - Global tech giants like NVIDIA, OpenAI, and Meta are accelerating AI infrastructure development, with significant investments planned for the coming years [1][7] - OpenAI has partnered with AMD to deploy 6 gigawatts of AMD GPU computing power, and plans to use NVIDIA systems for its next-generation AI infrastructure [7][8] - NVIDIA executives project that AI infrastructure spending will reach $3 trillion to $4 trillion by 2030, indicating a robust growth trajectory for the sector [9][10] Group 3: Industry Challenges and Opportunities - The AI computing landscape faces challenges such as communication walls, power consumption, and complexity, necessitating the development of super nodes [2] - The core challenge for the domestic computing industry lies in the maturity of the ecosystem, despite opportunities arising from advancements in chip manufacturing and other related fields [5][6]

Core Insights - The AI City Summit held during Huawei Connect 2025 focused on the theme of building an intelligent world cloud foundation to accelerate smart governance and industrial upgrades [1][3] - The summit gathered industry experts, government representatives, and ecosystem partners to discuss the rapid evolution of AI technology and its role in driving systematic innovation in smart city construction [1][3] Group 1: AI CITY Development - Huawei and the National Information Center released the "AI CITY 2025 Government and Industry Pioneer Cases," highlighting the transformative impact of AI on urban governance and development paradigms [3] - The AI CITY initiative aims to integrate AI technology deeply into urban modernization and industrial advancement, marking a new phase of comprehensive intelligent transformation in China's smart city development [3][5] Group 2: AI CITY "1234MNX" Framework - The AI CITY "1234MNX" framework addresses challenges in smart city construction, including data silos, insufficient AI scene adaptation, and information security issues [5][6] - The framework consists of one intelligent cloud foundation, two major security systems, three AI engineering platforms, and four types of operations, aiming to enhance resource efficiency and model application [6] Group 3: Practical Applications and Achievements - The framework has shown initial value in practical applications, such as enhancing government services in Shenzhen and revolutionizing urban management in Guangzhou [6][8] - In the industrial sector, the AI CITY initiative has significantly reduced product design cycles and improved manufacturing accuracy, demonstrating its effectiveness in driving industrial upgrades [6][8] Group 4: Future Outlook and Collaboration - Huawei's vision for the future of AI CITY includes collaboration with research institutions and enterprises to innovate and create intelligent upgrade cases for urban governance and industry [7][11] - The company emphasizes the importance of talent cultivation and invites partners to join the AI CITY industry innovation plan to promote comprehensive intelligent transformation [7][11] Group 5: AI Infrastructure and Ecosystem - Huawei Cloud's infrastructure developments, such as the CloudMatrix384 super node and the Pangu model, are designed to support large-scale AI applications and enhance urban decision-making capabilities [8][9] - The company aims to build a robust AI ecosystem that fosters local AI applications, industry ecosystems, and professional talent development, contributing to the overall impact of AI in urban settings [9][11]

Core Viewpoint - The AI City Summit held during Huawei's Connect 2025 focuses on the integration of artificial intelligence in urban governance and industrial upgrades, emphasizing the transition to a smart city framework driven by AI technology [1][3]. Group 1: AI CITY Framework - Huawei and the National Information Center released the "AI CITY 2025 Government and Industry Pioneer Cases," highlighting the transformative impact of AI on urban governance and development [3]. - The AI CITY "1234MNX" framework addresses challenges in urban governance and industrial upgrades, moving beyond traditional data-driven smart cities to a model driven by "models + knowledge" [5][6]. - The framework includes a unified intelligent cloud base, a dual security system, three AI engineering platforms, and various operational categories to enhance resource efficiency and innovation [6]. Group 2: Practical Applications and Achievements - The AI CITY framework has shown initial value in practical applications, such as the intelligent upgrade in Shenzhen, which serves over 150,000 users daily across 240 scenarios [6]. - In Guangzhou, the "1+4+N" smart city management system has revolutionized urban management, while the industrial platform in Huadu has significantly reduced product design cycles and improved efficiency [6]. - The Dongguan AI model center has increased manufacturing line inspection accuracy to 99%, showcasing the practical benefits of AI integration in various sectors [6]. Group 3: Future Prospects and Initiatives - Huawei's future vision for AI CITY includes collaboration with research institutions and enterprises to innovate urban governance and industrial upgrade cases [7]. - The company aims to enhance AI talent cultivation to support long-term industrial development and invites partners to join the AI CITY industry innovation plan [7]. - Huawei emphasizes the importance of a robust computing foundation and the development of AI models to support urban applications and ecosystem growth [8][12]. Group 4: AI's Role in Urban Development - AI is positioned as a core driver for transforming urban production, lifestyle, and governance, with significant implications for public services and industrial applications [11]. - Various successful AI applications have been implemented across cities, such as the data circulation platform in Shanghai and the digital assistant in Guizhou, enhancing service efficiency and user experience [11][12]. - Huawei's commitment to building an open and shared computing system aims to integrate global capabilities into local AI ecosystems, fostering innovation and collaboration [12].

Core Viewpoint - Huawei Cloud has made significant advancements in AI computing power, positioning itself as a key player in the industry amidst growing demand for computational resources driven by AI applications [1][4]. Group 1: Technological Advancements - The CloudMatrix384 super node, launched in April 2025, has evolved to enhance its capabilities, addressing the ongoing "computing power anxiety" in the AI industry [3][6]. - Huawei Cloud's AI server planning includes an upgrade of CloudMatrix specifications from 384 cards to a future capacity of 8192 cards, enabling the formation of massive AI clusters [5][19]. - The introduction of the EMS elastic memory storage service significantly reduces latency during multi-turn dialogues, enhancing overall performance [5][19]. Group 2: Market Positioning - Huawei Cloud's "computing power black land" concept provides fertile ground for enterprises and developers to innovate in AI, supported by a robust ecosystem of technological advancements [7][28]. - The strategy of combining intelligent computing (Tokens service) and general computing (Kunpeng cloud services) allows Huawei Cloud to meet diverse industry needs [9][11]. Group 3: Tokens Service - The Tokens service, based on the CloudMatrix384 super node, offers a new billing model that charges based on actual token consumption, significantly lowering AI inference costs [14][16]. - The daily average token consumption in China surged from 100 billion to over 30 trillion within a year and a half, indicating a dramatic increase in demand for AI computational resources [15]. Group 4: Industry Applications - Huawei Cloud's infrastructure supports various applications, including high-precision scientific research and AI-driven internet applications, demonstrating its versatility and capability to handle complex tasks [21][23]. - The collaboration with national research institutions, such as the Chinese Academy of Sciences, highlights Huawei Cloud's commitment to providing reliable and high-performance computing resources for advanced scientific models [25].

Core Insights - Huawei Cloud Stack 8.6 new version is set to adapt to CloudMatrix 384 super nodes, marking a significant advancement in hybrid cloud technology [1] - The official commercial launch of this new version is scheduled for October 30 [1] Company Developments - Huawei is introducing the industry's first hybrid cloud that supports CloudMatrix 384 super nodes, indicating a strong position in the cloud computing market [1] Industry Trends - The adaptation of CloudMatrix 384 super nodes by Huawei Cloud Stack reflects ongoing innovations in hybrid cloud solutions, which are becoming increasingly critical for businesses [1]

Core Insights - Huawei officially launched Huawei Cloud Stack 8.6 during the Huawei Connect 2025 event, with the announcement that it is now compatible with CloudMatrix 384 super nodes [1] - Over 5,500 government and enterprise customers globally have chosen Huawei Cloud Stack for cloud innovation [1] Group 1 - Huawei Cloud Stack 8.6 was introduced at the Huawei Connect 2025 event [1] - The new version is compatible with CloudMatrix 384 super nodes [1] - The adoption rate includes more than 5,500 global government and enterprise clients [1]

Group 1 - Huawei's Full Connection Conference 2025 will be held from September 18 to 20, focusing on "Elevating Industry Intelligence" and showcasing Huawei's comprehensive intelligent strategy and new digital infrastructure products [1] - The conference will feature the Ascend AI Industry Summit, where the Ascend scenario-based integrated machine will be launched [1] - Huawei Cloud has introduced the CloudMatrix384 super node, which integrates 384 Ascend NPUs and 192 Kunpeng CPUs, achieving a computing power of 300 PFlops [1] Group 2 - Advanced Communication is a diamond distributor for Huawei, responsible for the sales of Huawei's Ascend integrated machines [2] - Softcom Power has collaborated with a major telecommunications equipment company to launch the AI robot - Ascend integrated machine [3]

Core Viewpoint - The importance of chips is acknowledged, but the ability to provide the required computational results for customers is emphasized as more critical [1] Group 1: Huawei Cloud's Developments - Huawei Cloud is undergoing significant organizational restructuring, with a focus on enhancing computational power through its Ascend AI cloud services and Tokens services [1] - The CloudMatrix384 super node, launched in April, integrates 384 Ascend NPUs and 192 Kunpeng CPUs, achieving a computational scale of 300 PFlops [2] - The Tokens service has been integrated with the CloudMatrix384 super node, achieving a maximum of 2400 TPS and 50 ms latency, surpassing industry standards [2][3] Group 2: Performance and Growth Metrics - Huawei Cloud's overall computational capacity has increased by nearly 250% compared to the previous year, with the number of Ascend AI cloud service customers rising from 321 to 1714 [5] - The CloudMatrix384 super node can support training of large models, with the capability to connect 432 super nodes to form a 160,000-card AI cluster [2] - The deployment of over 40 CloudMatrix384 super nodes in Guizhou is part of a strategy to create a national computational network [5] Group 3: Market Position and Strategic Focus - Huawei Cloud ranks second in China's cloud service market with an 18% share, while Alibaba Cloud holds a 33% share [6] - The market demand is shifting from "cloud adoption" to "AI integration," prompting Huawei Cloud to streamline its operations and focus on maximizing the advantages of its Ascend AI and Pangu model combinations [6][7] - The organizational restructuring aims to concentrate resources on core areas that can leverage AI capabilities effectively [6][7]