Core Viewpoint - The company is responding to the Shanghai Stock Exchange's inquiry regarding its fundraising project, emphasizing the necessity and urgency of the project in light of the rapid growth in the AI computing market and the evolving demands for intelligent chips and software platforms [1][2][3]. Group 1: Market Demand and Trends - The AI computing market in China is projected to grow from approximately $19 billion in 2024 to $25.9 billion in 2025, representing a year-on-year growth of 36.2%, and reaching $55.2 billion by 2028, indicating strong growth momentum [3][19]. - The rapid development of large model technology is transforming AI applications from task-specific tools to comprehensive assistants, driving the demand for new technologies and applications in the intelligent chip sector [3][4]. Group 2: Company Strategy and R&D Focus - The company plans to develop a range of chips and software platforms tailored to large model requirements, including training chips, inference chips, and advanced packaging technologies, to enhance its competitive edge in the market [11][12][14]. - The fundraising project aims to strengthen the company's technological capabilities and expand its product ecosystem, ensuring alignment with market needs and technological advancements [11][12][22]. Group 3: Competitive Landscape - The global intelligent chip market is dominated by foreign giants like NVIDIA and AMD, while domestic companies are gradually increasing their market share, with the company positioned as a strong competitor in the AI chip sector [9][10]. - The company has developed a strong design capability for intelligent chips, although its software application ecosystem is still being improved compared to leading competitors like NVIDIA [9][10]. Group 4: Product Development and Market Application - The company has established a solid foundation for the commercialization of its products, which are already being applied in various sectors, including cloud computing, finance, and healthcare, supporting diverse AI tasks [20][21]. - The planned R&D projects are expected to meet the growing demands for high-performance training and inference capabilities in large model applications, filling the market gap for training chips in China [17][19].