华为云城市峰会在乌兰察布举行 共绘“草原云谷”迈向“Token之都”新蓝图

Core Viewpoint - The Huawei Cloud City Summit 2025, held in Ulanqab, Inner Mongolia, focuses on the transformation of cities driven by artificial intelligence, emphasizing the shift from "data-driven" to "Token-driven" development [1][3]. Group 1: AI City Development - Ulanqab is positioned as a key growth area for digital economy development in Inner Mongolia, with a focus on building a new foundation for "AI CITY" and enhancing digital governance capabilities [3]. - The summit aims to foster collaboration among government, enterprises, research institutions, and ecological partners to promote intelligent urban transformation and high-quality digital economic development [3][8]. Group 2: Infrastructure and Investment - Ulanqab has signed contracts with 53 companies to establish 67 data centers, with a total investment exceeding 260 billion yuan, and a computing power scale of over 120,000 P, with over 90% being intelligent computing [9]. - The city is leveraging strategic opportunities such as "East Data West Computing" and "Beijing-Mongolia Cooperation" to develop its computing power industry as a top priority in the digital economy [9][11]. Group 3: Huawei's Role - Huawei Cloud emphasizes the need for AI Token services that address real business problems, committing to increase investments in AI and computing power to support Ulanqab in building a secure and efficient AI CITY foundation [12]. - The collaboration between Huawei and Ulanqab has deepened over the years, focusing on various initiatives from digital governance to AI cloud services and smart industry education [12]. Group 4: AI Applications and Initiatives - The summit showcased multiple industry applications of AI, including an industrial internet platform aimed at enhancing regional intelligent capabilities and environmental governance solutions utilizing AI for pollution control [13][14]. - Ulanqab and Huawei Cloud signed a comprehensive cooperation agreement and launched the "Inner Mongolia AI Pioneer Plan," targeting key areas such as smart manufacturing and digital governance to accelerate the large-scale implementation of AI technology [15].