Investment Rating - The report maintains a "Recommendation" rating for the industry, indicating a positive outlook for the sector's fundamentals and expectations for the industry index to outperform the benchmark index [2]. Core Insights - Huawei's AI chip roadmap for the next three years was unveiled at the Huawei Connect 2025 conference, showcasing the gradual release of Ascend 950/960/970 and Kunpeng 950/960 chips, highlighting the increasing strength of domestic AI computing chips amid the US-China rivalry [1][6]. - Domestic advanced logic and memory expansion expectations are optimistic, suggesting potential investment opportunities in the AI computing industry chain and semiconductor self-sufficiency [1][6]. - The report emphasizes the growth prospects of domestic AI computing chip manufacturers, with companies like Haiguang and Cambrian setting ambitious revenue growth targets for the next three years [6][64]. Summary by Sections Huawei Connect 2025 Conference - The conference introduced the UnifiedBus protocol for supernode interconnection, aiming to redefine efficient and scalable AI computing infrastructure [12][13]. - Huawei's roadmap for Ascend chips includes the release of Ascend 950PR and 950DT in 2026, with significant performance improvements expected in subsequent models [19][20]. - The Atlas 900 A3 SuperPoD was launched, supporting up to 384 cards and achieving a computing power of 300 PFLOPS, with plans for larger configurations in future models [28][31]. Domestic Semiconductor Industry - The domestic lithography machine industry is focusing on complete machines and related components, with expectations for advanced process expansion in 2026 [6][66]. - The report highlights the increasing demand for advanced processes, with companies like SMIC and Huahong planning significant capacity expansions [68][71]. - Domestic equipment, materials, and components are expected to benefit from the expansion of advanced production lines and the push for self-sufficiency [71]. Investment Recommendations - The report suggests focusing on investment opportunities in AI computing chips, high-end chip manufacturing, packaging, storage, and related equipment and materials [6][7]. - Specific companies to watch include SMIC, Haiguang, Cambrian, and various domestic storage and EDA/IP firms [8].