清程极智师天麾：MaaS盈利战打响，Infra技术已成利润关键丨GAIR 2025

Core Viewpoint - The article discusses the current state of domestic computing power in China, emphasizing the need for improved software ecosystems and system-level optimization to enhance the utilization of domestic chips in AI applications [5][21]. Group 1: AI Infrastructure and Market Trends - The GAIR conference highlighted the rapid evolution of computing power and its impact on AI technology and industry structure, focusing on the next decade of China's AI industry [2]. - The speaker, Shi Tianhui, pointed out that the bottleneck in the utilization of domestic computing power lies in the software ecosystem and system-level optimization capabilities [5][21]. - The MaaS (Model as a Service) market is experiencing significant growth, with a reported increase of over 400% in the first half of the year, indicating a strong demand for AI services [33]. Group 2: Challenges and Solutions in AI Infrastructure - The current challenge is that many domestic enterprises purchase chips from multiple vendors, leading to difficulties in software compatibility and maintenance [22][13]. - The company has developed a proprietary inference engine, "Chitu," which aims to simplify the use of domestic chips and improve their performance [21][22]. - The article emphasizes the importance of a unified software solution to address the "M×N" problem of optimizing multiple models across various chips, which requires significant resources and expertise [25][29]. Group 3: Innovations and Product Offerings - The "Chitu" inference engine has been designed to support both domestic and foreign chips, significantly lowering the barriers for customers to utilize AI applications effectively [22][27]. - The company has introduced "AI Ping," a one-stop platform for evaluating and accessing various MaaS offerings, which aims to reduce information asymmetry in the market [30][36]. - The platform provides comprehensive performance evaluations and a routing function that allows users to access multiple suppliers through a single interface, enhancing cost efficiency and service reliability [39][41].