China Launches World's Largest Single AI Computing Facility in Ulanqab

A significant milestone in global artificial intelligence infrastructure was reached this week as the Envision Galaxy Campus officially began operations in Ulanqab, located in China's Inner Mongolia Autonomous Region. This facility is currently recognized as the world's largest single artificial intelligence computing unit. The project represents a major step forward in the ongoing global race to build the massive data centers required for modern AI development. The campus is designed with a planned total capacity of 2 gigawatts, making it the largest AI computing park in China. By focusing on scale, the facility aims to provide the immense processing power needed for advanced machine learning models. The project is part of a broader initiative known as Mission Gobi, which seeks to develop 5 gigawatts of green AI data center capacity in desert and arid regions by 2030. Location played a critical role in the development of this site. Ulanqab is frequently referred to as the capital of wind power and the Three Gorges Dam of the sky due to its abundant natural energy resources. The region benefits from over 3,200 hours of sunshine annually and accounts for a significant portion of the nation's wind farm area. Industry experts emphasize that electricity is the most vital foundation for the future of AI infrastructure. Zhang Xiaorong, the director of the Beijing-based Cutting-Edge Technology Research Institute, noted that the core output of modern computing is the token, and the ultimate destination for that token is electricity. Because Ulanqab offers a reliable and cost-effective power supply, it provides a distinct advantage for high-intensity computing tasks. The proximity of the facility to major urban centers also supports its operational efficiency. Despite being located in a remote region, the data center maintains a high-speed connection to Beijing. Data can travel between the capital and the Ulanqab facility in approximately 4.2 milliseconds, which is faster than the blink of an eye. This development highlights a growing trend where technology companies are moving beyond software advantages to focus on infrastructure control. As AI systems become more complex, the demand for energy access and physical hardware has become a central part of the global economic contest. Major companies, including Huawei, Alibaba, and Apple, have already established computing facilities in the Ulanqab area over the past decade. The integration of renewable energy is a key feature of the Envision Galaxy Campus. By pairing intensive AI computing infrastructure directly with localized renewable energy and storage, the project aims to address the environmental concerns associated with high-energy computing. This model serves as a blueprint for how future data centers might balance massive power needs with sustainable practices. Other industry players are also pushing forward with similar infrastructure goals. At the World Artificial Intelligence Conference 2026, companies like MiTAC Computing Technology Corporation showcased new liquid-cooled server solutions designed to maximize energy efficiency. These technologies are essential for managing the heat generated by the high-density GPUs required for modern AI training. As the demand for AI continues to grow, the bottleneck for many developers is shifting from software design to power generation and grid access. Utilities and energy companies are increasingly becoming direct financial participants in the AI boom. This shift suggests that the next phase of the AI economy will be defined by who can secure the most reliable and sustainable energy sources. While the Ulanqab facility marks a historic achievement in scale, it also reflects the broader challenges facing the tech industry. Global organizations, including the United Nations, have recently warned that AI development is outpacing current government oversight and scientific understanding. As these massive computing parks come online, the focus will likely remain on balancing rapid innovation with safety and sustainability.