Core Insights - Huawei's "Super Node + Cluster" strategy represents a critical response to external pressures and aims to establish a robust AI computing infrastructure in China [2][12][25] - The company emphasizes that AI competition fundamentally revolves around computing power, which is essential for advancing artificial intelligence capabilities [3][4] Group 1: Technological Innovations - The "Super Node" concept integrates multiple computing cards and machines into a single logical unit, enhancing overall efficiency and resource utilization [4][6] - Huawei's Atlas 950 and Atlas 960 SuperNodes support 8192 and 15488 Ascend cards respectively, significantly outperforming Nvidia's upcoming NVL144 in terms of scale and computing power [9][11] - The Lingqu interconnect protocol facilitates the collaboration of numerous computing resources, enabling a more efficient and scalable AI computing environment [13][15] Group 2: Strategic Positioning - Huawei's approach to AI computing is driven by the need to overcome limitations in semiconductor manufacturing due to sanctions, focusing on system architecture innovations [6][7] - The company aims to create a self-sufficient AI ecosystem that does not rely on Western technologies, addressing concerns over supply chain vulnerabilities [22][25] - Huawei's commitment to open-source initiatives is intended to foster collaboration within the industry, allowing for broader access to AI capabilities [19][20] Group 3: Market Implications - The deployment of AI computing resources through cloud platforms allows small and medium enterprises to access advanced AI models, democratizing AI technology across various sectors [23] - Huawei's long-term vision includes building a comprehensive AI ecosystem that supports sustainable growth and innovation within the Chinese AI industry [17][25] - The anticipated release of the Atlas 960 SuperNode and the Ascend 970 chip by 2028 is expected to enhance China's competitive position in the global AI landscape [25][26]

Core Viewpoint - Computing power is the engine of the digital economy, becoming a core resource in the intelligent transformation of society, especially with the rise of AI models [1] Group 1: Current State of Computing Power in China - As of June 2023, China's total number of operational computing power centers reached 10.85 million standard racks, with intelligent computing power at 788 EFlops, ranking among the top globally [1] - The rapid iteration of AI raises concerns about insufficient computing power [1] Group 2: Huawei's Strategy - Huawei is adopting a differentiated path by constructing a new computing supply system based on "super nodes + clusters" to address the increasing demand for computing power and external limitations in chip manufacturing [2] - The "super node" concept integrates computing chip resources to create a low-latency, high-bandwidth computing entity, enhancing computing efficiency for training and inference of large models [2] - Huawei's latest super node products, Atlas 950 SuperPoD and Atlas 960 SuperPoD, support 8,192 and 15,488 Ascend cards respectively, with the computing power scale of the new clusters exceeding 500,000 and reaching 1 million cards [3] Group 3: Future Outlook and Innovations - Huawei aims to innovate systematically with the "super node + cluster" approach, providing sustainable and scalable computing power for China's AI development [3] - The company plans to advance its computing capabilities at a pace of nearly one generation per year, doubling the computing power each time [3] - Huawei has introduced the UnifiedBus protocol to overcome technical bottlenecks in large-scale super node interconnection, promoting an open ecosystem for computing power [5][6] Group 4: Open Source and Ecosystem Development - Huawei is committed to open-sourcing its Ascend hardware to accelerate developer innovation and build a robust ecosystem [6] - The trend towards open-source technology is seen as essential for the construction of a computing ecosystem, with significant implications for reducing computing costs and fostering comprehensive system innovation [6][7] - Recent government policies are aimed at strengthening the open-source landscape, providing a supportive environment for the development of the computing ecosystem in China [7]

Investment Rating - The report maintains a "Recommended" rating for the computer industry [1] Core Insights - The report addresses key issues such as the parameters of Huawei's next-generation Ascend processors, supernodes, and cluster solutions compared to NVIDIA, the core components of the Huawei Ascend ecosystem, and the changes in demand within the AI computing industry, highlighting how Huawei's Ascend benefits from the localization of AI chips [5][7] - Huawei's Ascend AI chips are positioned as the first globally to cover all scenarios, with the CloudMatrix 384 cluster solution based on the Ascend 910C processor. As of September 18, 2025, over 300 units of the Atlas 900 A3 SuperPoD supernode have been deployed [5][24] - The report emphasizes the growth potential of the AI computing industry, driven by increasing demand from cloud service providers (CSPs), sovereign nations, and AI inference, alongside the push for domestic chip production due to escalating U.S. sanctions [7][9] Summary by Sections Section 1: Ascend Chips - The Ascend processors are based on Huawei's Da Vinci architecture, optimized for matrix operations, and are the foundation for Ascend computing products, offering high computing power, energy efficiency, and flexibility [15] - The report outlines a roadmap for the Ascend processors, with annual releases expected to double computing power each year [5][17] Section 2: AI Computing Infrastructure - Huawei's AI computing solutions, including the Atlas series, provide a comprehensive infrastructure for AI applications across various scenarios, covering the entire process of deep learning inference and training [18] - The report highlights the deployment of the Atlas 900 A3 SuperPoD, which integrates 384 Ascend 910C NPUs and 192 Kunpeng CPUs, achieving a computing capacity of 300 PFLOPS [24][26] Section 3: Market Demand and Trends - The report notes that NVIDIA anticipates global AI capital expenditures to reach $3-4 trillion over the next five years, with significant growth expected in AI inference markets [7] - The localization of AI chips in China is accelerating, with domestic brands accounting for approximately 30% of the market share as of 2024 [7] Section 4: Competitive Positioning - Huawei's Ascend aims to become the second choice globally for AI computing power, competing directly with NVIDIA through its comprehensive software and hardware ecosystem [5][9] - The report identifies key players in the AI chip and server markets, including companies like Haiguang Information, Cambricon, and major server manufacturers [10]

Core Viewpoint - Huawei's advancements in AI and computing capabilities, particularly through its Ascend chip series and supernode technology, position it as a formidable competitor in the global computing landscape, especially against NVIDIA [1][2][3]. Group 1: AI and Computing Strategy - Huawei's strategy focuses on "supernodes + clusters" to overcome limitations in chip manufacturing processes and to provide sustainable AI computing power for domestic needs [2][4][6]. - The company has unveiled a roadmap for its AI chips, including the Ascend 950PR, 950DT, 960, and 970, with a planned release schedule that aims for a doubling of computing power approximately every year [8][9]. - The CloudMatrix 384 supernode is highlighted as the largest commercial supernode in China, capable of integrating 384 Ascend computing cards, showcasing Huawei's commitment to leading in AI infrastructure [4][5][9]. Group 2: Competitive Positioning - Huawei's Ascend 950 supernode is projected to maintain its status as the world's strongest computing supernode for several years, significantly outperforming NVIDIA's upcoming products in various metrics, including total computing power and memory capacity [9][10]. - The company emphasizes that its innovations are driven by necessity due to external pressures, leading to breakthroughs in computing architecture that redefine traditional models [5][6][12]. Group 3: Ecosystem and Future Outlook - Huawei aims to build a robust ecosystem around its hardware, promoting open-source initiatives to attract developers and enhance the overall utility of its products [11][12]. - The company is focused on establishing a comprehensive AI infrastructure that does not rely on Western technologies, positioning itself for long-term growth in the AI sector [12][13]. - Huawei's leadership believes that AI is still in its early stages, akin to the 2G phase of mobile communications, with significant potential for future advancements [13].

Core Viewpoint - Huawei's advancements in AI and computing capabilities, particularly through its Ascend chip series and supernode technology, position it as a formidable competitor in the global computing landscape, especially against NVIDIA [1][2][3]. Group 1: Huawei's AI and Computing Strategy - Huawei's strategy focuses on "supernodes + clusters" to overcome limitations in chip manufacturing processes and to provide sustainable AI computing power for China [2][4][6]. - The company has unveiled a roadmap for its AI chips, including the Ascend 950PR, 950DT, 960, and 970, with a planned release schedule that aims for a doubling of computing power approximately every year [8][9]. - Huawei's CloudMatrix 384 supernode is highlighted as the largest commercial supernode in China, capable of integrating 384 Ascend computing cards, thus achieving the highest effective computing power globally [4][5][9]. Group 2: Competitive Positioning - Huawei's Ascend 950 supernode is projected to maintain its status as the world's strongest computing supernode for several years, significantly outperforming NVIDIA's upcoming products in various metrics, including total computing power and memory capacity [9][10]. - The company emphasizes that its innovations are driven by necessity due to external pressures, leading to breakthroughs in computing architecture that redefine traditional models [5][12]. Group 3: Ecosystem and Future Outlook - Huawei aims to build a robust ecosystem around its hardware, promoting open-source software to attract developers and enhance hardware sales [11][12]. - The company is committed to developing its own AI ecosystem independent of Western technologies, with a focus on long-term positioning in the AI infrastructure market rather than direct monetization of large models [12][13].

Core Viewpoint - Huawei's advancements in AI and computing capabilities, particularly through its Ascend chip series and supernode technology, position it as a strong competitor in the global AI infrastructure landscape, despite facing challenges from U.S. sanctions and competition from companies like NVIDIA [2][3][4]. Group 1: AI and Computing Strategy - Huawei's core strategy revolves around "supernodes + clusters," which aims to provide continuous AI computing power despite limitations in chip manufacturing technology [4][8]. - The company has developed the CloudMatrix 384 supernode, which is the largest commercial supernode in China and boasts the highest effective computing power globally [8][9]. - Huawei plans to release several new AI chips and supernodes over the next few years, with a roadmap that includes the Ascend 950PR, 950DT, 960, and 970 series, aiming for a doubling of computing power approximately every year [12][13]. Group 2: Competitive Positioning - Huawei's Ascend 950 supernode is projected to maintain its status as the world's strongest computing supernode for several years, significantly outperforming NVIDIA's upcoming products in various metrics [13][15]. - The company emphasizes that its supernode architecture is designed to overcome traditional computing limitations, moving away from the von Neumann architecture to a self-defined "equal interconnection architecture" [9][16]. - Huawei's innovations are seen as a response to U.S. sanctions, pushing the company to explore alternative paths for technological advancement [7][8]. Group 3: Ecosystem and Market Dynamics - Huawei is focused on building a robust ecosystem around its hardware, with an emphasis on open-source software to attract developers and enhance hardware sales [17][18]. - The company does not rely on the CUDA ecosystem, instead developing its own MindSpore framework to ensure independence from Western supply chains [18]. - Huawei's long-term vision includes not just chip development but also providing comprehensive system integration capabilities to foster healthy collaborations within the AI industry [18][19].

Core Strategy - Huawei's core strategy is defined as "super nodes + clusters," which is central to its approach in the AI and computing landscape [1][2][10]. AI and Computing Capabilities - Huawei has developed a robust AI computing capability, claiming to have built the world's strongest computing cluster, with plans to launch new super nodes, including CloudMatrix 384 and Atlas 950 SuperPoD, in the coming years [2][12][16]. - The CloudMatrix 384 super node can support 384 Ascend computing cards, making it the largest commercial super node in China and one of the largest globally [10][12]. Competitive Positioning - Huawei's AI chips, including Ascend 910, are positioned to compete directly with NVIDIA's offerings, with Huawei asserting that its products will maintain a competitive edge in the market [9][16]. - The Atlas 950 super node is projected to outperform NVIDIA's upcoming NVL144 in several key metrics, including scale and total computing power [16][18]. Innovation Under Constraints - The company has been forced to innovate due to external pressures, particularly U.S. sanctions, which have limited its access to advanced chip manufacturing technologies [3][9][10]. - Huawei's approach to overcoming these challenges involves a shift from traditional computing architectures to a new "equal interconnection architecture," which enhances performance and scalability [11][19]. Future Product Roadmap - Huawei has outlined a clear product roadmap for its AI and computing chips, with multiple new products scheduled for release between 2026 and 2028, aiming for a doubling of computing power approximately every year [15][16]. - The company plans to introduce new series of AI chips, including Ascend 950PR, Ascend 950DT, and Ascend 960, alongside advancements in its Kunpeng CPU line [15][16]. Ecosystem Development - Huawei emphasizes the importance of building a robust ecosystem around its hardware, including open-source software initiatives to attract developers and enhance the usability of its products [20][21]. - The company aims to establish a self-sufficient ecosystem that does not rely on Western technologies, particularly in the AI domain, to ensure long-term sustainability and growth [21][22].

Core Viewpoint - Huawei expresses confidence in providing sustainable and sufficient computing power for the long-term rapid development of artificial intelligence, leveraging its supernodes and clusters with the world's strongest computing capabilities [1][6]. Group 1: Chip Development - Huawei has announced the development progress of several self-developed chips, including the Ascend 950PR, 950DT, and Ascend 960 and 970, with the 950PR set to launch in Q1 2026 [1]. - The company is focusing on creating a "supernode + cluster" computing solution to meet the continuously growing demand for computing power, based on China's available chip manufacturing processes [3]. Group 2: Supernode Infrastructure - The supernode has become a new norm in AI infrastructure construction, with over 300 Cloud Matrix 384 supernodes deployed [3]. - Huawei has released the Atlas 950 SuperPoD and Atlas 960 SuperPoD supernodes, supporting 8192 and 15488 Ascend cards respectively, showcasing global leadership in key metrics such as card scale, total computing power, memory capacity, and interconnect bandwidth [5]. Group 3: Technological Innovations - Huawei has introduced the world's first general-purpose computing supernode, TaiShan 950 SuperPoD, which, combined with the GaussDB distributed database, aims to replace various large and small machines as well as Exadata database integrated machines [6]. - The company has overcome significant challenges in large-scale supernode interconnect technology, launching the UnifiedBus interconnect protocol, with plans to open the Lingqu 2.0 technology specifications in the future [6].