Core Insights - The emergence of SuperPods as a new AI computing infrastructure has become a focal point in the industry since 2025, with Huawei's Ascend 384 SuperPod leading the way in performance metrics compared to foreign competitors [1][3] - The demand for computing power is far from being met, with token consumption expected to exceed trillions daily in China, highlighting the inadequacy of simply stacking servers to address the computing gap [3][4] Group 1: SuperPod Characteristics - SuperPods are not merely about stacking chips; they represent a fundamental restructuring of traditional computing architectures, enabling equal interconnectivity among CPUs, NPUs, and memory units [4][6] - Key features of a true SuperPod include high bandwidth to eliminate communication delays, low latency, and the ability to form a logically unified system through unified memory addressing [6][7] Group 2: Efficiency and Performance - SuperPods can significantly enhance computing efficiency, with potential model utilization rates increasing from 30% to 45%, effectively a 50% improvement, which can help mitigate the limitations of chip manufacturing processes [7][8] - The architecture of SuperPods differs from traditional systems, as Huawei employs optical communication technology, allowing for greater scalability and interconnectivity compared to NVIDIA's copper-based systems [8][9] Group 3: Innovation and Ecosystem - Huawei's systematic innovation in chip design, optical components, and foundational protocols has positioned it uniquely in the market, leveraging over 20 years of experience in optical technology [9][12] - The company is also developing general computing SuperPods, with the TaiShan 950 SuperPod set to launch in Q1 2026, aimed at replacing various server applications [11][12] Group 4: Software and Community Engagement - The success of SuperPods relies not only on hardware but also on a robust software ecosystem, including open-source initiatives like CANN and openEuler, which are crucial for fostering industry collaboration [14] - Huawei has engaged a large developer community, with 3.8 million registered developers for Kunpeng and nearly 4 million for Ascend, emphasizing the importance of open-source collaboration in the AI era [14]

Core Viewpoint - The emergence of SuperPod as a new AI computing infrastructure has become a focal point in the industry since 2025, with Huawei's Ascend 384 SuperPod leading the way in performance metrics compared to foreign competitors [1][3]. Group 1: SuperPod Concept and Advantages - SuperPod is not merely about stacking chips; it represents a fundamental restructuring of traditional computing architecture, enhancing communication efficiency among CPU, NPU, and memory units [4][6]. - The key advantages of SuperPod over traditional clusters include significantly improved computational efficiency, with potential model computing utilization rates increasing from 30% to 45%, equating to a 50% performance boost [7][8]. Group 2: Technical Challenges and Innovations - Building a true SuperPod is complex; Huawei's Ascend 384 SuperPod consists of 12 computing cabinets and 4 bus cabinets, while NVIDIA's NVL72 system is confined to a single cabinet due to architectural differences [8]. - Huawei employs optical communication technology for interconnection, allowing for greater scalability beyond single cabinet limitations, while traditional systems face constraints with electrical signal transmission [8][9]. Group 3: Systematic Innovation and Ecosystem Development - Huawei's systematic innovation includes proprietary chip development, optical device capabilities, and foundational protocols, enabling the creation of SuperPods that leverage full optical interconnectivity [9][12]. - The company is also developing general computing SuperPods, such as the TaiShan 950, which aims to replace various server applications by 2026 [9][11]. - A robust software ecosystem, including open-source initiatives like CANN and openEuler, is essential for the operation of SuperPods, with a focus on collaborative development within the industry [14].

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]

Group 1: Industry Overview - The global AI industry is undergoing a significant restructuring focused on ecosystem integration, highlighted by major investments and partnerships such as NVIDIA's $5 billion stake in Intel and OpenAI's $300 billion computing order with Oracle [2] - The transactions illustrate a clear layout of the US AI industry chain, emphasizing a closed-loop construction of "chip-computing model-application" through vertical integration [2] Group 2: Huawei's Strategic Positioning - Huawei's recent announcements at the 2025 Global Connectivity Conference are seen as a high-profile return after years of uncertainty due to sanctions, showcasing its advanced AI computing capabilities with new Ascend chips and supernodes [4] - Huawei has developed a non-linear competitive path to world-class AI computing by leveraging its strengths in system engineering and connectivity technology, shifting focus from single-chip performance to overall system performance [5] Group 3: Importance of Computing Power - Computing power is now recognized as a critical strategic resource for national economic futures, serving as the core infrastructure and "engine" of the AI era, essential for digital economic growth and the transformation of traditional industries [6] - The demand for intelligent computing is growing exponentially, outpacing general computing, and is becoming a key indicator of a country's digital economic development [6] Group 4: Challenges and Innovations - Huawei faces significant structural challenges in achieving AI leadership, particularly due to sanctions limiting access to advanced semiconductor processes, resulting in a performance gap compared to NVIDIA [6][7] - In response to these challenges, Huawei has proposed a new architecture focused on system engineering capabilities, emphasizing the importance of data communication efficiency among multiple processors rather than just single-chip performance [8] Group 5: Hardware Developments - Huawei has introduced specific hardware products like the Atlas 950 SuperPoD and Atlas 960 SuperPoD, capable of supporting thousands of Ascend cards, designed to function as a cohesive computing unit [9] - These supernodes can be combined into larger clusters, with the Atlas 950 SuperCluster exceeding 500,000 cards and the Atlas 960 SuperCluster reaching over one million cards, creating a highly integrated and low-latency computing environment [11] Group 6: Ecosystem Development - The success of Huawei's hardware relies on building a robust software ecosystem, with a clear business model that encourages open-source development to lower barriers for developers and partners [12] - Huawei aims to foster a self-sustaining AI ecosystem by addressing the inertia of developers accustomed to existing platforms, calling for collective efforts within the industry to overcome early migration challenges [13] Group 7: Strategic Implications - The focus of Huawei's strategy has shifted from general digital transformation to reconstructing and leading AI computing infrastructure, marking a fundamental change in strategic priorities [15] - If successful, Huawei's strategy could lead to a bifurcation in the global AI infrastructure market, challenging the dominance of NVIDIA and creating a new competitive landscape centered around Huawei and its Ascend ecosystem [16]

Core Viewpoint - Huawei has established a non-symmetric competitive path towards world-class AI computing power by leveraging its strengths in system engineering and connectivity technology, shifting the focus from single-chip performance to system performance to gain a competitive edge [1][7]. Group 1: Industry Dynamics - The global AI industry is undergoing a restructuring centered on ecosystem integration, highlighted by significant investments and partnerships, such as Nvidia's $5 billion stake in Intel and OpenAI's $300 billion order with Oracle [2]. - The AI computing power is now recognized as a critical strategic resource, essential for national economic futures and strategic autonomy, with its demand growing exponentially, far exceeding that of general computing power [9][10]. Group 2: Huawei's Strategic Response - Huawei's recent announcements at the Shanghai All-Connect Conference 2025, including the launch of new Ascend chips and supernodes, signify a high-profile return after years of uncertainty due to sanctions [3][5]. - The company has adopted a new architecture that emphasizes system engineering capabilities to overcome the limitations of single-chip performance, focusing on the efficiency of inter-chip communication rather than just peak processing power [12][15]. Group 3: Technological Innovations - Huawei's supernodes, such as the Atlas 950 and 960, can support thousands of Ascend cards, creating a highly cohesive and low-latency computing environment for AI training tasks [13][15]. - The integration of these supernodes into larger clusters allows for unprecedented computing density, enabling seamless distribution of extensive AI training tasks across numerous processors [15]. Group 4: Ecosystem Development - Huawei aims to build a robust software ecosystem around its hardware, adopting an open-source approach to lower barriers for developers and encourage widespread adoption [17][18]. - The company recognizes the challenge of developer inertia towards established platforms like Nvidia and calls for collective efforts within the industry to foster a self-sustaining AI ecosystem [18]. Group 5: National Strategy Alignment - The "East Data West Computing" initiative aims to optimize energy consumption for data centers by leveraging the abundant clean energy resources in western China, supporting the economic feasibility of Huawei's supernode and cluster strategy [18]. - Huawei's strategic evolution from focusing on digital transformation to emphasizing AI infrastructure reflects a significant shift in its approach to addressing the foundational needs of AI development [20][21].

Core Insights - Huawei unveiled the complete development roadmap for its Ascend AI chips at the Global Connectivity Conference, establishing a self-controlled computing foundation for China's AI industry amid manufacturing constraints [2] - The domestic AI chip ecosystem is evolving with multiple players like Alibaba, Baidu, Tencent, and ByteDance adopting different strategies for market entry, creating a multi-path domestic substitution landscape [3][6] Huawei's Asymmetric Innovation Path - Huawei acknowledges that its single-chip computing power still lags behind Nvidia but opts for an asymmetric innovation path, focusing on system architecture and interconnection technology to compensate for performance gaps [3] - The key breakthrough is the Lingqu interconnection protocol, which addresses long-distance, high-reliability, and low-latency challenges, achieving significant improvements in reliability and bandwidth [3] Future Roadmap for Ascend Chips - Huawei's roadmap includes the launch of Ascend 950PR in Q1 2026, focusing on inference pre-fill scenarios, and Ascend 950DT in Q4 2026, which will shift to SIMD/SIMT architecture for general AI tasks [4] - The Ascend 960, set for Q4 2027, will double specifications, while the Ascend 970 in Q4 2028 will achieve significant increases in computing power and memory access bandwidth [4] Competitive Edge of Huawei's SuperNodes - Huawei's Atlas 950 SuperPoD and Atlas 960 SuperPoD support 8192 and 15488 Ascend cards respectively, leading in key metrics compared to Nvidia's upcoming NVL144S [4] - The Atlas 950 SuperCluster and Atlas 960 SuperCluster boast computing power exceeding 500,000 and 1 million cards respectively, marking a significant advancement in the industry [4] Software and Ecosystem Development - Huawei is enhancing its software and ecosystem by open-sourcing the CANN compiler and virtual instruction set interface, with plans to open-source the Mind series application enablement suite by the end of 2025 [5] - The company aims to build a competitive technology alliance against Nvidia's CUDA ecosystem through the open release of Lingqu 2.0 technology specifications [5] Other Players in the AI Chip Ecosystem - Alibaba is diversifying its AI chip strategy with self-developed inference chips and ARM architecture CPUs, while Baidu's Kunlun series has gained market recognition with significant contracts [8] - Tencent is optimizing software-hardware collaboration through cloud services and investments in AI chip companies, while ByteDance is engaging in supply chain partnerships to procure domestic AI chips [8] Policy and Patent Support - The Chinese government has implemented policies to support the chip industry, aiming for a 70% self-sufficiency rate by 2025, with various tax incentives for chip manufacturers [10] - Patent accumulation is crucial for technological breakthroughs, with Huawei holding over 150,000 global patents, including significant numbers in AI and communication fields [11][12] Conclusion - The advancements in Huawei's Ascend chips and the collaborative efforts of other domestic players are driving the growth of a self-controlled AI chip ecosystem in China, supported by robust government policies and patent strategies [12]

Investment Rating - The investment rating for the computer industry is "Recommended" [2][20]. Core Insights - The AI industry continues to show high prosperity, with a confirmed turning point for industry recovery [3]. - Huawei has launched new supernode products, Atlas 950 SuperPoD and Atlas 960 SuperPoD, which significantly outperform competitors in key metrics [4][12]. - Alibaba's upcoming Cloud Summit is expected to focus on AI infrastructure and applications, with strong growth in AI-related revenues [18][19]. Summary by Sections Recent Developments - Huawei's new supernode products support 8192 and 15488 Ascend cards, respectively, and are set to meet the growing domestic demand for computing power [4][12]. - The Atlas 950 supernode is expected to launch in Q4 2026, with performance metrics significantly exceeding those of NVIDIA's upcoming products [14][17]. Financial Performance - Alibaba's cloud intelligence group reported a 26% year-on-year revenue growth, with AI-related products achieving triple-digit growth for eight consecutive quarters [18][19]. - Alibaba's capital expenditure reached 38.676 billion RMB, a 220% increase year-on-year, maintaining a target of 380 billion RMB for AI hardware infrastructure over the next three years [18][19]. Investment Recommendations - The report suggests focusing on AI infrastructure companies such as Zhongke Shuguang, Digital China, Inspur Information, and others, as well as Alibaba's partners [20]. - The shift in AI competition from single-card performance to system-level efficiency is highlighted, with a recommendation to monitor developments in AI infrastructure [20].

Group 1 - The core viewpoint of the article highlights the significant rise of the Sci-Tech 50 ETF, which increased by 4.05% with a trading volume exceeding 4 billion yuan, driven by strong performances from stocks like Chip Origin Technology, Haiguang Information, and Jingchen Technology, all rising over 10% [1] - Huawei announced its future development roadmap for Ascend at the Huawei Connect 2025 event, planning to launch several new products including the 950PR, 950DT, 960, and 970 between Q1 2026 and Q4 2028, along with the development of large-scale supernodes like Atlas 950 SuperCluster and Atlas 960 SuperCluster [1] - CITIC Securities expressed optimism about Huawei's Ascend as a representative of domestic computing power, recommending attention to advanced processes and the HBM and other supporting industrial chains [1] Group 2 - The Sci-Tech 50 ETF tracks the Sci-Tech 50 Index, which has a significant allocation in the electronics sector at 68.77% and the pharmaceutical and biological sector at 9.85%, totaling 78.62%, aligning well with the development directions of domestic chips, artificial intelligence, and robotics [1] - The index also covers multiple sub-sectors including semiconductors, medical devices, software development, and photovoltaic equipment, indicating a high content of hard technology [1] - The current position of the Sci-Tech 50 Index is near its base point, and referencing the historical performance of the ChiNext board, the future growth potential is promising, suggesting that investors optimistic about China's hard technology should continue to pay attention [1]

Core Viewpoint - Huawei has successfully navigated challenges and emerged as a leader in computing power and smartphone markets, showcasing significant advancements in technology and product offerings [1][7][12]. Group 1: Computing Power Achievements - Huawei has announced the development of the world's strongest computing power clusters, including the Atlas 900 super node with a maximum computing power of 300 PFLOPS, making it the largest in the world [5]. - The latest super node products, Atlas 950 SuperPoD and Atlas 960 SuperPoD, support 8192 and 15488 Ascend computing units respectively, achieving comprehensive leadership in key metrics such as computing unit scale and total computing power [5]. - Huawei's Atlas 950 super node is 56.8 times larger in card scale and 6.7 times greater in total computing power compared to NVIDIA's upcoming NVL144, indicating a significant competitive edge [5]. Group 2: Smartphone Market Recovery - Huawei's smartphone shipments reached 12.5 million units in Q2 2025, reclaiming the top position in the Chinese market with an 18.1% market share [11]. - The launch of the Mate60 series and foldable phones has marked a significant recovery for Huawei's smartphone business, which had faced severe challenges since 2019 [11]. - In the first half of 2025, Huawei's total smartphone shipments were 25.4 million units, maintaining its leading position in the domestic market [11]. Group 3: Automotive Sector Developments - Huawei has partnered with various car manufacturers to create the "Hongmeng Intelligent Driving" series, achieving a cumulative delivery of 930,000 vehicles, maintaining the highest average transaction price among Chinese automotive brands for 14 consecutive months [11]. - The upcoming brand "Qijing," developed in collaboration with GAC, represents a new exploration of technology monetization paths for tech giants in the automotive sector [11]. Group 4: Research and Development Investment - Over the past decade, Huawei has invested approximately 1.25 trillion yuan in research and development, with more than half of its employees engaged in R&D activities [12]. - As of the end of 2024, Huawei holds over 150,000 valid authorized patents globally, reflecting its commitment to continuous innovation and technology advancement [12].

Core Viewpoint - The article discusses Huawei's innovative "super node" architecture, which aims to redefine large-scale effective computing power in AI by addressing the limitations of traditional server architectures and enhancing interconnectivity through the self-developed UnifiedBus protocol [3][4][12]. Group 1: Super Node Architecture - The super node architecture represents a deep restructuring of computing system architecture, moving from a "stacked" model to a "fused" model that allows multiple machines to function as a single device [4][9]. - This architecture aims to eliminate the communication bottlenecks inherent in traditional server setups, where data exchange between servers can lead to significant delays and inefficiencies [5][11]. - Huawei's super node can reduce communication latency to the nanosecond level, significantly improving cluster utilization and lowering communication costs, with the goal of achieving linear scalability of effective computing power [11][12]. Group 2: Product Offerings - Huawei introduced the Atlas 950 SuperPoD and Atlas 960 SuperPoD, which support 8192 and 15488 Ascend cards respectively, showcasing superior performance in key metrics such as card scale, total computing power, memory capacity, and interconnect bandwidth [17][20]. - The Atlas 850, an enterprise-grade air-cooled AI super node server, lowers the barrier for enterprises to adopt super node architecture without requiring complex liquid cooling modifications [21]. - The TaiShan 950 SuperPoD extends the super node architecture to general computing, offering ultra-low latency and memory pooling capabilities beneficial for databases and big data applications [25]. Group 3: Ecosystem Strategy - Huawei emphasizes an ecosystem strategy of "hardware openness and software open-source," encouraging industry partners to engage in secondary development and enrich product offerings based on the UnifiedBus protocol [26][28]. - The company aims to build a unified, scalable computing foundation that provides a consistent, high-performance computing experience across various environments, from cloud to enterprise [28].