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Home AI: Technology, News & Trends Five New AI Data Centers Planned Under Stargate Project

Five New AI Data Centers Planned Under Stargate Project

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AI data centers

In September 2025, the US government and several tech giants announced that they would build five advanced artificial intelligence data centers across the country as part of the “Stargate” project. This project aims to enhance the infrastructure construction and computing power reserves of the United States in the field of artificial intelligence.

According to the latest news, the first batch of data center locations includes Texas, Virginia, and California, which have mature technological ecosystems and energy support. The project investment scale amounts to several billion dollars and is expected to be completed and put into operation successively within the next three years.

Analysts point out that this move will not only help meet the growing demand for AI computing power but also further intensify global competition in the field of artificial intelligence infrastructure. It is widely believed in the industry that the implementation of the “Stargate” project will unleash huge potential in multiple fields such as scientific research, medical care, and national defense, and may lead to a new wave of technological innovation.

The national-level AI computing power program has been fully accelerated

According to the plan released by the leading institution, these five data centers will be distributed in California, Texas, Virginia, Oregon, and New York, with an estimated total investment of over 50 billion US dollars. The data center will adopt liquid cooling technology and high-density GPU clusters to support the training and deployment of large-scale AI models. Relevant documents show that the core goal of the project is to triple the domestic AI computing power in the United States by 2030, ensuring that key industries have sufficient computing resources when facing international competition.

The U.S. Department of Energy pointed out in a statement that the “Stargate” project is not merely the construction of a data center, but also a cross-disciplinary and cross-departmental strategic platform. This project plans to integrate the forces of the government, enterprises, and academia to create a complete ecosystem covering from underlying chips to high-level models, thereby promoting the application of AI in multiple fields such as healthcare, energy, transportation, and national defense.

Dual promotion by enterprises and the government

The advancement of this “Stargate” project cannot be achieved without the in-depth participation of technology companies. It is learned that enterprises such as Microsoft, NVIDIA, and Amazon Web Services (AWS) have committed to providing the most advanced hardware and cloud service support for this project. In particular, NVIDIA will provide its latest generation H200 GPU for newly-built data centers to meet the computing demands of ultra-large-scale neural networks.

The US Secretary of Commerce emphasized at the press conference: “This is not only an investment by the United States in the field of artificial intelligence, but also a national security strategy.” She pointed out that AI has become a core force influencing the economic and military landscape, and building an independent and controllable AI computing power platform is a key step to ensure future competitiveness.

NVIDIA H200 GPU

The “Stargate” in the global competitive landscape

Globally, the construction of AI infrastructure in China, the European Union, and the Middle East is also advancing rapidly. For instance, some cities in China have already planned data center clusters with an investment of over 10 billion yuan, while Saudi Arabia and the United Arab Emirates are actively building AI computing power centers by leveraging their energy advantages. Against this backdrop, the “Stargate” project of the United States is undoubtedly a direct response to the international competitive landscape.

Analysts from the Center for Technology Policy at Harvard University pointed out that this move by the United States is not only to meet the rapid development needs of its domestic AI industry, but also to maintain its computing power advantage on the international stage. They believe that these five newly-built data centers will become the core nodes of the US AI infrastructure, complementing the existing large-scale cloud computing facilities and enhancing the resilience and redundancy of the systems.

The dual tests of society and the environment

Although the project has attracted much attention at the technical and strategic levels, it has also raised concerns at the environmental and social levels. Environmental protection organizations have warned that large-scale data centers will bring huge pressure on energy consumption and water usage. Despite the official commitment to use renewable energy for driving and introducing efficient cooling technology, some experts still question its sustainability.

Furthermore, the large-scale concentration of computing power may further intensify the social debate on AI governance. Some scholars believe that if there is a lack of transparency and regulation, the advantage of computing power may be monopolized by a few enterprises or government agencies, thereby affecting social equity and privacy protection.

Looking forward to the future

The launch of the “Stargate” project marks another major leap forward for the United States in the construction of artificial intelligence infrastructure. With the gradual completion of the five major data centers, the AI industry in the United States will receive unprecedented computing power support, promoting the comprehensive development of large model training, intelligent application development, and even AI security research.

However, how to strike a balance among efficiency, the environment, and social equity remains a question that must be answered in the future development of this project. It can be foreseen that in the coming years, the “Stargate” project will not only become the focus of global AI industry attention, but also may become a social issue that triggers widespread discussions.

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