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]