Investment Rating - The industry investment rating is "Outperform the Market" with an expectation of a relative increase of over 10% in the industry index compared to the broader market within the next six months [4][27]. Core Insights - The report highlights that the domestic computing power industry is accelerating, with Huawei's release of the Atlas 950 SuperPoD, which supports up to 8192 NPU cards for large-scale AI training and inference, significantly improving efficiency and reliability compared to traditional clusters. This presents investment opportunities in Huawei's computing power supply chain [1][10]. - The demand for storage, particularly NAND Flash, is expected to surge due to AI infrastructure needs, with a projected revenue increase of 23.8% for the top five NAND Flash manufacturers, reaching $21.17 billion in Q4 2025. NAND Flash prices are anticipated to rise by 85-90% in Q1 2026 due to supply-demand imbalances [2][25]. - The LCD TV panel market is expected to maintain price increases, with specific price hikes projected for various sizes of TV panels in March, indicating a stable demand and potential profitability for panel manufacturers [2][25]. Summary by Sections Industry Weekly View - The electronic index fell by 5.07%, ranking 28th among 31 industries, underperforming the CSI 300 index by 4.01 percentage points [12][16]. Industry Dynamics - **Domestic Computing Power**: Huawei's new computing products, including the Atlas 950 SuperPoD, are designed for high-performance AI applications, enhancing training efficiency and reliability [10][24]. - **Storage**: The NAND Flash market is experiencing significant growth driven by AI server demands, with a forecasted revenue increase and price hikes due to supply shortages [2][25]. - **Panels**: Price increases for various TV panel sizes are expected, reflecting stable demand and potential profitability for manufacturers [2][25]. Industry Valuation - As of March 8, 2026, the SW electronic sector's PE (TTM) is 86.09, above the historical average of 54.05 from 2019 to 2026, indicating potential for further valuation increases driven by AI and semiconductor trends [3][19].

Investment Rating - The industry investment rating is "Outperform the Market" [4][27]. Core Insights - The report highlights that Huawei launched the new generation of computing power base, the Atlas 950 SuperPoD, which supports up to 8192 NPU cards for large-scale AI training and inference, significantly improving efficiency and reliability compared to traditional clusters. The domestic computing power industry is accelerating, and investment opportunities in Huawei's computing power supply chain are recommended [1][10]. - The demand for storage, particularly NAND Flash, is expected to grow due to AI infrastructure needs, with a projected revenue increase of 23.8% for the top five NAND Flash manufacturers in Q4 2025, reaching $21.17 billion. NAND Flash prices are anticipated to rise by 85-90% in Q1 2026 due to supply-demand imbalances [2][25]. - The LCD TV panel prices are expected to continue rising, with specific price increases projected for various sizes in March, indicating a stable demand for TV panels and potential profitability for panel manufacturers [2][25]. Summary by Sections Industry Weekly View - The electronic index fell by 5.07%, ranking 28th among 31 industries, underperforming the CSI 300 index by 4.01 percentage points [12][16]. Industry Dynamics - **Computing Power**: Huawei's Atlas 950 SuperPoD supports extensive NPU card interconnectivity, enhancing AI training and inference capabilities [22][24]. - **Storage**: The NAND Flash industry is benefiting from AI demand, with significant revenue growth expected for major manufacturers [25]. - **Panels**: Price increases for various TV panel sizes are anticipated, reflecting stable demand and potential profitability for manufacturers [25]. Industry Valuation - As of March 8, 2026, the SW electronic sector's PE (TTM) is 86.09, above the historical average of 54.05 from 2019 to 2026, indicating potential for further valuation increases driven by AI and semiconductor trends [3][19].

Investment Rating - The report maintains a "Recommended" rating for the industry, indicating an expected stock price increase of over 15% relative to the benchmark index within the next 12 months [5]. Core Insights - The report emphasizes that the demand for tokens is expected to become a core theme for AI investments this year, with significant opportunities arising from the rapid expansion of inference token demand [8]. - The government work report highlights the importance of computing power as a new infrastructure focus, aiming to enhance the digital economy and AI development through integrated construction, management, and utilization of computing resources [3][4]. - The report notes that domestic computing power is making significant progress, supported by government policies aimed at accelerating development in this sector [8]. Summary by Sections Government Initiatives - The government work report outlines three main directions for computing power: intelligent computing clusters, coordinated computing and electricity, and computing power scheduling, which are crucial for the digital economy and AI [3]. - The emphasis on a unified national approach aims to prevent disorderly construction and promote collaborative development, aligning with the high-quality development needs of the computing power industry [3]. Market Developments - Recent announcements from major companies like Alibaba Cloud and Huawei indicate a growing demand for computing resources, with specific pricing structures for services like video generation [4]. - The introduction of Huawei's TaiShan 950 SuperPoD showcases advancements in computing architecture, promising higher efficiency and reliability in computing power utilization [4]. Investment Opportunities - The report suggests focusing on several key areas for investment, including chip design (e.g., Cambrian, Haiguang Information), advanced wafer manufacturing (e.g., SMIC), and domestic AI computing solutions [8]. - Other recommended sectors include power supply and inductors, as well as domestic AI servers and related components, indicating a broad spectrum of potential investment opportunities within the computing power ecosystem [8].

Core Insights - The emergence of ByteDance's Seedance 2.0 video generation model signifies a transition in AIGC from a "toy" phase to a practical "tool" era, showcasing advancements in AI capabilities in China [1] - China's AI model usage is rapidly increasing, with data indicating that by February 2026, the call volume for Chinese models will surpass that of the US for the first time, highlighting the competitive strength of domestic AI firms [1] Group 1 - Huawei showcased its full range of supernode computing products at MWC 2026, providing strong alternatives to Nvidia's dominance in the high-end AI computing market [2] - The collective growth of Chinese models is attributed to open-source technology benefits and systematic engineering advantages, including the use of a mixed expert architecture (MoE) that significantly reduces inference costs [2] - The rapid iteration of domestic models allows for agile responses to developer needs, combined with China's lower electricity costs, which account for 60%-70% of AI operational expenses, making the usage cost of Chinese models only 1/10 to 1/16 of that in the US [2] Group 2 - China has established a complete AI industry chain, from domestic chips to cloud services, creating a self-sufficient capability that enhances cost control, iteration speed, and application deployment [3] - The increasing global demand for Chinese models is driving significant export traction across the entire industry chain, reinforcing China's market advantages and creating a feedback loop that optimizes models and grows user bases [3] - Unlike the US, which focuses on semiconductor and foundational models, Chinese enterprises emphasize deep integration of model capabilities with practical applications, enhancing penetration in high-value sectors [3] Group 3 - Goldman Sachs recently reported that the current market pricing for Chinese AI does not reflect its potential economic benefits, indicating significant value reassessment opportunities in the Chinese AI market [4] - Foreign institutions like UBS are increasingly viewing Chinese AI as a long-term investment focus, especially as valuations of major US tech companies are at relatively high levels [4] - With a more global perspective on AI investments, companies in China that excel in electricity, hardware, and models are positioned to be core beneficiaries of the global surge in AI computing demand [4]

Core Viewpoint - Huawei showcased its latest supernode products, including Atlas 950 SuperPoD and TaiShan 950 SuperPoD, at the 2026 Mobile World Congress, emphasizing its commitment to technological innovation and an open-source development philosophy to build a collaborative computing ecosystem with global industry partners [1][4]. Group 1: AI and Computing Needs - The AI technology is entering a rapid iteration phase, with trillion-level large models becoming mainstream, which raises higher demands for computing power, latency, and other performance metrics [1]. - Traditional server architectures face challenges in matching the computing demands of the AI era, as they struggle with issues like low utilization rates and frequent interruptions during training processes [1]. Group 2: Product Innovations - The Atlas 950 SuperPoD supports up to 8192 cards interconnected via the Lingqu protocol, offering significant advantages such as high bandwidth, low latency, and unified memory addressing, enabling efficient performance in AI training and inference scenarios [2]. - The TaiShan 950 SuperPoD represents a breakthrough in general computing, alongside the introduction of new generation servers like TaiShan 500 and TaiShan 200, creating a comprehensive product system that meets diverse computing needs across various industries [4]. Group 3: Open Source and Ecosystem Development - Huawei adheres to an open-source development philosophy, contributing core technologies and resources to the openEuler operating system community, aiming to establish a stable software foundation for computing power [4][5]. - The CANN heterogeneous computing architecture has been fully open-sourced, allowing developers to flexibly use core software components, significantly lowering the barriers to independent innovation [5]. Group 4: Future Directions - The company aims to continue focusing on technological innovation and deepening research and development in foundational computing technologies and products, while enhancing open-source initiatives to connect with global industry partners [5].

Core Viewpoint - Huawei introduces its latest SuperPoD products at MWC Barcelona 2026, aiming to establish a resilient computing foundation and create new opportunities globally through open-source collaboration and technological innovation [1]. Group 1: Product Launch and Features - Huawei showcases the Atlas 950 SuperPoD, TaiShan 950 SuperPoD, and a series of computing solutions designed to meet the increasing demand for high-performance computing in AI applications [1]. - The Atlas 950 SuperPoD connects up to 8192 NPUs via UnifiedBus, providing ultra-high bandwidth, ultra-low latency, and unified memory addressing, functioning as a single logical unit for learning, reasoning, and information processing [1]. - The TaiShan 950 SuperPoD is highlighted as the first universal computing SuperPoD in the industry, alongside next-generation servers like TaiShan 500 and TaiShan 200, offering flexible computing options for workloads ranging from high to low intensity [1]. Group 2: Open Source and Ecosystem Development - Huawei emphasizes its commitment to open-source software and systems, aiming to accelerate developer innovation and ecosystem prosperity [1]. - The company plays a key role in the development of openEuler, which has rapidly become one of the leading global open-source operating system communities [1]. - Huawei has made its heterogeneous computing architecture CANN fully accessible, allowing all software components to be openly available for developers, thus supporting various open-source communities and projects [1].

Core Insights - Huawei's Kunpeng computing platform has achieved significant milestones, including over 12.6 million deployments of the openEuler operating system and 4.8 million downloads of the openGauss database, showcasing its robust ecosystem built on hardware, software, and industry applications [1][3]. Group 1: Industry Innovation and Collaboration - The Kunpeng platform has partnered with over 7,000 collaborators to incubate more than 20,000 solutions, emphasizing its commitment to innovation and collaboration within the computing industry [1]. - The recent launch of the TaiShan 950 SuperPoD marks a significant advancement in computing technology, positioning Kunpeng as a leader in the industry and supporting the digital transformation across various sectors [11][12]. Group 2: Application in Key Industries - Kunpeng's computing capabilities are increasingly recognized in critical sectors such as energy, finance, and manufacturing, with a focus on enhancing digital and intelligent upgrades [3][5]. - The South China Electric Power Company highlighted the effectiveness of Kunpeng in their digital transformation, achieving a 20% improvement in processing performance and a 15% reduction in processor consumption through its implementation [8][9]. Group 3: Open Source Strategy - Huawei continues to deepen its open-source strategy, with comprehensive support for the Lingqu interconnect and various software solutions, including openEuler and openGauss, aimed at maximizing the performance of Kunpeng hardware [12][13]. - The introduction of new tools and frameworks, such as the Kunpeng BoostKit and high-performance computing programming frameworks, is designed to enhance developer efficiency and leverage Kunpeng's computational power [12]. Group 4: Future Outlook - The collaborative goal of driving digital transformation across industries remains a priority for Kunpeng and its partners, with plans to develop a digital intelligence ecosystem in the energy sector [13]. - The vision includes creating a comprehensive energy digital foundation and enhancing the synergy between edge and central computing to support the intelligent upgrade of power systems [13].

Core Viewpoint - Huawei is leading the development of an open and shared AI computing ecosystem through its innovative supernode architecture, which aims to create an "AI highway" that benefits various industries and players of all sizes [1][2][26]. Group 1: Supernode Technology - Huawei unveiled the supernode architecture at the Huawei Connect conference, introducing a range of supernode products that cover all scenarios from data centers to workstations [3]. - The Atlas 950 SuperPoD is designed for large-scale AI computing tasks, featuring innovations in system-level design, including zero-cable interconnect and enhanced cooling reliability [4]. - Compared to NVIDIA's upcoming products, the Atlas 950 supernode shows significant advantages in scale, total computing power, memory capacity, and interconnect bandwidth, achieving 56.8 times, 6.7 times, 15 times (1152TB), and 62 times (16.3PB/s) respectively [5]. Group 2: Open Source and Collaboration - Huawei is fully opening its supernode technology to the industry, allowing for shared technological benefits and collaborative innovation [16]. - The company is also opening its hardware components, including NPU modules and AI cards, to facilitate incremental development by customers and partners [18]. - On the software side, Huawei is making its operating system components open source, enabling users to integrate and maintain versions according to their needs [20]. Group 3: Industry Impact and Ecosystem - The supernode technology is designed to serve various industries, including internet, finance, telecommunications, and manufacturing, enhancing computing efficiency and business capabilities [29]. - The UnifiedBus protocol enables high bandwidth and low latency interconnectivity among computing and storage units, addressing traditional cluster reliability issues [33]. - Huawei's approach fosters an open ecosystem where different hardware manufacturers and software developers can collaborate, breaking down barriers in the AI computing landscape [42]. Group 4: Future Prospects - The Atlas 950 SuperCluster is set to be 2.5 times larger and 1.3 times more powerful than the current largest global cluster, xAI Colossus, positioning Huawei as a leader in computing power [48]. - By promoting an open and collaborative AI computing environment, Huawei aims to establish a sustainable and secure foundation for the AI industry in China, potentially leading to a new cycle of innovation [52][53].

Core Viewpoint - Huawei's Full Connect 2025 Conference showcased the Lingqu Unified Interconnection Protocol, announcing the launch of Ascend 950/960/970 and Kunpeng 950/960 over the next three years, highlighting the gradual enhancement of domestic AI computing chip capabilities amid US-China tensions [9][58]. Group 1: AI Computing Chip Development - The Ascend NPU roadmap includes the release of Ascend 950 (PR and DT versions) in 2026, followed by 960 in 2027 and 970 in 2028, with significant performance improvements [15][20]. - The Kunpeng CPU will see the launch of Kunpeng 950 in late 2026 and Kunpeng 960 in early 2028, supporting advanced computing needs [20][34]. - Domestic chip manufacturers like Haiguang and Cambricon are projecting substantial revenue growth, with Haiguang targeting a CAGR of 44% over three years [3][58]. Group 2: Advanced Manufacturing and Semiconductor Industry - The domestic lithography machine industry is focusing on complete machines and related components, with expectations for advanced process expansion by 2026 [3][59]. - The domestic semiconductor industry is expected to benefit from the acceleration of independent and controllable demands, particularly in advanced logic and storage production lines [3][62]. Group 3: Storage and Edge Computing - The demand for inference and edge computing storage is increasing, with significant growth expected in AI PCs, smartphones, and wearable devices by 2026 [4][58]. - Domestic manufacturers are enhancing their enterprise storage product lines, with companies like Jiangbolong and Baiwei Storage launching new enterprise-level solutions [4][58]. Group 4: Investment Recommendations - Investment opportunities are suggested in AI computing chips, high-end chip manufacturing, packaging, storage, and related equipment and materials [5].

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].