Core Insights - The AI industry is evolving rapidly, with increasing demands for foundational infrastructure as it transitions into the era of large models [1][3] - The AI computing power market in China is projected to reach $25.9 billion (approximately 185.66 billion RMB) by 2025, with a year-on-year growth of 36.2% [3] - The development of AI is pushing for a more inclusive computing power model, particularly for small and medium enterprises (SMEs) [5][6] Group 1: Market Trends - By 2026, the AI computing power market is expected to grow to $33.7 billion (approximately 241.58 billion RMB), which is 1.77 times the size of 2024 [3] - The demand for computing power is increasing at a rate of tenfold annually, especially with 2025 being recognized as the year of intelligent agents [6] - Current trends indicate that many AI companies spend over 60% of their R&D costs on computing power, highlighting a mismatch in resource allocation [6] Group 2: Technological Developments - The introduction of the "New Start" product by Jiuzhang Yunjing includes features like multi-user dialogue hubs, agent factories, and intelligent knowledge bases [7] - The company has developed a unique "one-degree computing power" measurement standard and a "pay-per-degree" billing model, which can reduce total cost of ownership (TCO) by up to 60% [7] - The Jiuzhang Yunjing cloud platform, based on Serverless technology, has improved end-to-end performance by five times [7] Group 3: Strategic Focus - Jiuzhang Yunjing aims to make computing power accessible to SMEs, transforming it from a luxury to a necessity [5][6] - The company is focusing on creating a collaborative ecosystem for computing power, allowing for low-barrier access and integration of services [6][7] - The firm has launched specific computing power and channel policies for the Shanghai market, enhancing service adaptability [7][9]

Group 1: Core Insights - The event held by DataCanvas in Shanghai showcased the company's latest achievements in AI computing power accessibility, providing practical solutions for the high-quality development of the AI industry [1][2] - Shanghai is actively implementing the national "East Data West Computing" strategy, introducing new industrial policies to support the development of the intelligent computing industry, aiming for a transformation towards self-controllable and green efficiency by 2025 [3][4] - DataCanvas has launched its new product "New Start" at the event, which focuses on commercializing intelligent agent technology and aims to create a comprehensive solution for enterprise-level intelligent agents [4][5] Group 2: Technological Innovations - DataCanvas's Alaya NeW Cloud has successfully overcome performance bottlenecks, achieving "second-level generation of millions of tokens," aimed at providing intelligent computing infrastructure services for global AI innovation enterprises [4][6] - The company has introduced a unique "1-degree computing power" measurement standard to standardize the supply and elastic scheduling of computing resources [4][6] Group 3: Market Strategy and Applications - DataCanvas has tailored computing power and channel policies for the Shanghai market, establishing a service system that supports flexible scheduling from single cards to clusters, addressing the differentiated computing power needs of key sectors like finance and healthcare [6][7] - The collaboration with various industries has demonstrated significant results, such as the partnership with Wuxi Yinlv Shandong AI Technology Co., which has transformed music creation through AI technology, producing millions of works with minimal sample learning [7][8] Group 4: Industry Impact - The establishment and development of DataCanvas in Shanghai not only accelerates the local intelligent computing industry but also provides valuable experience for the national intelligent computing industry construction [7] - The distributed computing network built by Alaya NeW Cloud aims to optimize computing resources across regions, making AI computing power a widely accessible social resource, thus supporting the high-quality development of China's digital economy [7][8]