计算机行业周报：从国产算力变化到LPU！DS新模型前瞻-20260228

Investment Rating - The report rates the industry as "Overweight" indicating a positive outlook for the sector [2]. Core Insights - The report identifies four major trends in the inference computing landscape driven by the Token economy, highlighting a surge in demand for inference computing, the emergence of pure inference chips, comprehensive innovations in inference systems, and accelerated breakthroughs in domestic computing chips [3][4][17]. Summary by Sections Inference Computing Trends - Inference computing demand is experiencing explosive growth, with significant increases in model invocation during the Spring Festival, where domestic AI models surpassed U.S. models for the first time [5][6]. - Pure inference chips are becoming increasingly important, as evidenced by Nvidia's $20 billion acquisition of Groq and OpenAI's partnerships with Cerebras, indicating a shift towards specialized inference hardware [9]. - Inference systems are undergoing comprehensive innovations, with a new three-layer network architecture designed to meet the needs of agents, increasing demand for multi-core and multi-threaded CPUs [10][11]. - Domestic computing chips are making rapid advancements, with Huawei's Ascend 950 series introducing new low-precision data formats and significantly enhancing vector computing capabilities [17][18]. DeepSeek V4 Expectations - Anticipations for DeepSeek V4 include leading capabilities in inference and coding, improved handling of long contexts and complex tasks, and continued innovation in technical architecture [22][25]. - Recent papers from DeepSeek suggest breakthroughs in long context processing and complex task handling, which may enhance the performance of domestic computing chip adaptations [29][35]. Recommended Investment Themes - Key investment themes include leadership in the digital economy, AIGC applications, AIGC computing power, data elements, flexible innovation, core Hong Kong stocks, intelligent connected vehicles, new industrialization, and medical informationization [37].