AI算力竞争转向，英伟达业绩亮眼，寒武纪营收大增近24倍

Core Viewpoint - Nvidia's latest performance has created significant market fluctuations, with its revenue and guidance remaining strong, yet the stock price has shown volatility, reflecting concerns about future growth sustainability amid external uncertainties [1][3]. Market Performance - Nvidia's stock price initially rose over 5% on the earnings release day but closed down 3.15%, with a cumulative decline of nearly 12% in November [1][3]. - The AI computing sector in the A-share market has also been impacted, with a 3.38% drop in the computing power concept sector and a net outflow of 141.2 billion yuan on November 21 [4]. Investment Trends - The computing power sector is undergoing a reevaluation of its valuation against fundamentals, with some institutions needing to liquidate funds as the year-end approaches [4]. - Long-term demand for AI computing remains strong, driven by major tech companies like Microsoft, Google, Meta, and Amazon increasing capital expenditures [4][6]. Domestic Market Dynamics - Domestic internet companies are experiencing a mixed capital expenditure trend due to chip supply constraints, with Alibaba planning to invest over 380 billion yuan in AI and cloud infrastructure over three years, while Tencent's capital expenditure has decreased by 24% year-on-year [6]. - The domestic computing power ecosystem is rapidly evolving, with a significant shift towards local chip suppliers, projected to increase their market share from 37% to 40% by 2025 [6][7]. Technological Advancements - The focus in the computing power industry is shifting from hardware accumulation to efficiency optimization, with significant advancements in model performance and cost reduction [8][9]. - Research indicates that the capability density of large models is expected to double approximately every 3.5 months, suggesting a move away from merely increasing model size [8]. Industry Collaboration - The domestic computing power ecosystem is forming a more comprehensive division of labor, with improvements across all stages from chip design to data center deployment [7]. - System-level innovations, such as the adoption of supernode technology, are helping domestic companies enhance computing performance despite limitations in chip capabilities [9]. Emerging Opportunities - The AI computing sector is becoming a primary growth engine for the communications industry, with investment opportunities emerging in various sub-sectors, particularly in optical modules and chips [12]. - The liquid cooling technology market is projected to grow significantly, with a compound annual growth rate of 46.8% from 2024 to 2029, indicating a shift towards more efficient cooling solutions [10][13]. Investment Shifts - Investment in the computing power industry is transitioning from infrastructure to application innovation, reflecting a maturation of the sector [13]. - The core drivers of the computing power industry are evolving from mere scale expansion to a dual focus on efficiency enhancement and self-sufficiency [13].