回眸“十四五” | 内蒙古走出了一条以绿色算力为支撑的发展新路径

Core Insights - Inner Mongolia is advancing its digital transformation in alignment with the national "East Data West Computing" strategy, focusing on building a high-quality development path supported by green computing power [1][3]. Group 1: Digital Infrastructure Development - The computing power infrastructure in Inner Mongolia has seen significant growth, with total computing power increasing from less than 20,000 P to 218,000 P, and intelligent computing power exceeding 200,000 P, leading the nation [3]. - A low-latency computing service network has been established, covering key regions with response times of 2 milliseconds for "Hohhot-Baotou-Erdos-Ulanqab," 5 milliseconds for "Beijing-Tianjin-Hebei," and 20 milliseconds for the Yangtze River Delta [3]. Group 2: Data Industry Growth - Inner Mongolia is developing a comprehensive data industry ecosystem, transforming data from resources into assets and capital, with over 800 data merchants in the data trading center and transaction volume exceeding 80 million [3][4]. - The region has created over 30 high-quality data sets in sectors such as energy, agriculture, and ecology, with a total data scale exceeding 1,500 TB [3]. Group 3: Employment and Enterprise Development - More than 60 data labeling companies have been introduced, creating nearly 7,000 jobs, and nine regional trusted data spaces have been cultivated, with some recognized as national pilot projects [4]. - Major companies like Baidu, Huawei, Alibaba, and Douyin have been attracted to the region, supporting 31 national-level large model training and inference projects, with total model training parameters exceeding one trillion [4]. Group 4: Artificial Intelligence Applications - Inner Mongolia is implementing "Artificial Intelligence +" initiatives across 12 sectors, including energy, healthcare, agriculture, and transportation, resulting in numerous applications such as 215 intelligent coal mines and 369 autonomous vehicles in open-pit mining [4]. - The region is also focusing on AI technology breakthroughs in ecological safety supervision, smart livestock farming, mineral resource forecasting, and geological disaster monitoring [4].