Capital Market Trends - In 2025, the domestic AI chip industry is characterized as reaching a "coming-of-age" stage, with companies like Moer Thread and Muxi Co. successfully listed on the STAR Market, indicating a significant shift driven by policy, capital, and demand [1][2] - The current capabilities of domestic AI chips in inference computing and system-level optimization are now sufficient to meet core industry needs, marking a transition from mere hardware performance to a focus on software and ecosystem development [1][5] Competitive Landscape - The competition in the AI chip market is evolving from a single dominant player to a multi-tiered structure, with various segments developing around inference power and industry customization [4][10] - Despite the entry of NVIDIA's H200 chip, which poses a competitive threat, it is viewed as a strategic move that does not fundamentally disrupt the domestic AI chip market's core areas such as government and finance [3][4] Technological Innovations - The emergence of models like DeepSeek has shifted the focus from merely stacking parameters to enhancing the software ecosystem, indicating that hardware alone is insufficient without a robust software framework [5][6] - The industry is witnessing a split in focus: one side emphasizes high-performance training capabilities, while the other prioritizes cost-effective inference solutions, reflecting a significant change in market dynamics [6][7] Future Outlook - Looking ahead to 2026, the emphasis will be on scaling inference capabilities, with predictions indicating that the growth rate of inference power will surpass that of training power [10] - The market is transitioning from a focus on purchasing chips to acquiring comprehensive computing services, necessitating a shift towards integrated solutions that combine chips, systems, and software [10][11]
国产AI芯片告别“草莽时代”