Information and communication infrastructure, as an internationally recognized strategic public infrastructure, plays a crucial role in promoting the construction of a digital society and supporting the development of the digital economy. With the accelerating pace of information technology upgrades, network infrastructure is rapidly developing towards higher speeds, full coverage, and intelligence. Countries worldwide are accelerating the deployment of next-generation network facilities, actively seizing the commanding heights of international economic and technological competition in the information age. The world has entered the era of the Internet of Everything. The main players in the construction of intelligent application infrastructure, represented by data centers, cloud computing platforms, content delivery networks, IoT sensing facilities, and internet exchange centers, are no longer limited to traditional telecommunications operators; internet companies have become a new force in information network infrastructure construction. The 5G technology standard has completed the first phase of full-function standardization and entered a new stage of comprehensive industrial development. Countries are racing to build 5G trial networks and trial commercial networks, creating a global surge in 5G network upgrades and construction.

Technological Development Trends

Computing Power Demand and Hardware Upgrades: With the rapid development of large-scale models and generative AI, the demand for AI computing power has increased more than 150,000 times in the past four years. GPUs, as core hardware, are rapidly emerging as the third largest semiconductor market after CPUs and DRAM. For example, high-performance chips such as NVIDIA's A100 and H100 GPUs, and AMD's MI300 series, are constantly iterating to meet the ever-increasing computing demands.

Application of Liquid Cooling Technology: Liquid cooling technology is becoming a key technology for solving the high energy consumption and heat dissipation problems of data centers. With the maturity of the technology and the increase in application cases, liquid cooling is expected to become a standard configuration for future intelligent computing infrastructure.

Intelligent Upgrade of Data Centers: As the core of AI infrastructure, data centers are developing towards high density and high efficiency. Intelligent computing centers are becoming an important development direction, capable of providing full-stack capabilities such as computing power, data, and algorithms.

Investment and Market Growth

Large-Scale Investment: The global AI infrastructure market is experiencing rapid growth. For example, OpenAI's recently announced "Stargate" project plans to invest at least $500 billion in AI infrastructure construction. In addition, tech giants such as Microsoft, Amazon, and NVIDIA are also continuously increasing their investment in AI infrastructure.

Market Potential and Scale: It is estimated that by 2030, global AI computing demand will reach 25 × 10³⁰ FLOPS, equivalent to 50 times the demand in 2024. Meanwhile, the GPU market size is projected to grow to over $100 billion.

Industry Chain Driven: The rapid development of AI infrastructure has spurred the coordinated development of the semiconductor market, data centers, optical modules, switches, and other industry chains.

Global Deployment and Competition

United States: The United States continues to strengthen its AI infrastructure deployment, planning to invest $300 billion in key technology areas such as 5G and artificial intelligence over the next few years. Furthermore, the US government is promoting the establishment of a National Artificial Intelligence Research Center to maintain its global leadership in AI.

Other Countries: The Dutch government recently partnered with Nvidia and AMD to promote domestic AI infrastructure development, particularly in computing resources and data processing capabilities. Other countries are also accelerating their AI infrastructure deployment through policy support and investment programs.

Policy and Regulation

Policy Support: Governments worldwide are incorporating AI infrastructure development into their national strategies, promoting its development through policy support, financial investment, and legislative guarantees.

Regulatory Challenges: With the rapid advancement of AI infrastructure, issues such as data privacy, algorithm reliability, and a shortage of AI hardware experts have become potential challenges to market growth.

Future Outlook

Continued Growth of Intelligent Computing Power: The scale of intelligent computing power will continue to expand in the future, and intelligent computing centers will become crucial infrastructure supporting the development of the digital economy and intelligent society.

Data openness and sharing: The construction of high-quality datasets will be key to the development of AI infrastructure, and major countries around the world are making it a strategic priority.

Technological innovation and application expansion: AI infrastructure will drive more industries to achieve intelligent transformation, such as healthcare, finance, and transportation.