Recently, Satya Nadella, Microsoft's President and Chief Executive Officer, announced that the world's most powerful AI data center, Fairwater, located in Mount Pleasant, Wisconsin, USA, has been launched ahead of schedule. The total investment in this data center reached 3.3 billion US dollars, equivalent to about 22.531 billion Chinese yuan. Its core feature is having hundreds of thousands of NVIDIA GB200 super chips, with performance ten times faster than the world's fastest supercomputer, aiming to provide strong support for training cutting-edge AI models.

The Fairwater data center covers an area of approximately 127.6 hectares, with three buildings, totaling a roof area of 111,000 square meters. To ensure the stability and efficiency of the facility, Microsoft used deep foundation piles, with a total depth of about 75 kilometers, and used approximately 12,000 tons of structural steel. In addition, the data center has laid about 193.1 kilometers of medium-voltage underground cables and 116.8 kilometers of mechanical pipelines, and is equipped with a closed-loop liquid cooling system to improve heat dissipation efficiency.

The commissioning of the Fairwater data center marks a major advancement for Microsoft in the field of AI technology. With the operation of the facility, Microsoft also plans to build more similar Fairwater data centers in other regions of the United States to meet the growing demand for AI computing. This move not only helps promote the development of AI technology but will also have a positive impact on the local economy.

Microsoft's ambition and investment in the AI field demonstrate its emphasis on future technology, and we look forward to more technological breakthroughs.

Key Points:   

🌍 Microsoft's Fairwater data center has a total investment of 3.3 billion US dollars and has been launched ahead of schedule.   

💻 The data center is equipped with hundreds of thousands of NVIDIA GB200 super chips, with performance ten times faster than the world's fastest supercomputer.   

🏗️ Plans to build more similar data centers in other regions of the United States to promote the development of AI technology.