中国算力中心行业白皮书

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The development of computing power centers has been significantly influenced by the technological revolutions of the mobile internet and cloud computing, leading to a rapid growth in demand for centralized, large-scale data centers from 2015 to 2020. However, the industry is currently facing a transformation period due to demand contraction and supply surplus, resulting in an imbalance and capital withdrawal [9][11] - The rise of artificial intelligence, particularly generative AI and large model technologies, is reshaping the development landscape of various industries, making computing resources essential for the continuous advancement of AI technologies. Computing power centers are positioned to seize new growth opportunities, especially in the custom wholesale business model, which provides stable and reliable computing support for large model training [9][11] - The report focuses on the custom wholesale business of computing power centers, analyzing supply and demand relationships across different regions in China to provide detailed data support and insights [9][11] Summary by Sections I. Introduction and Overview of Computing Power Centers - The computing power center industry has evolved from traditional data centers, driven by the need for high-performance computing and large-scale storage solutions [19][22] II. Demand Analysis of Computing Power Centers - The demand for computing resources is rapidly increasing, primarily driven by major internet companies, cloud service providers, and short video platforms investing heavily in high-performance computing resources [11][25] - Major cities, especially those in the Beijing area, are expected to face a supply-demand imbalance, with demand for computing resources outpacing supply by 2025 [11][12] III. Supply Analysis of Computing Power Centers - The supply side is benefiting from technological upgrades, with leading companies quickly adapting to market changes and expanding their market share, thus driving the industry towards high-quality development [11][12] IV. Supply and Demand Assessment and Future Outlook - The report predicts that the custom wholesale business model will become the mainstream mode for meeting the demands of large model training, as it effectively addresses the requirements for high bandwidth, low latency, and stable power supply [51][52] - The rapid growth of AI applications and the significant improvement in domestic computing hardware performance are expected to lead to a substantial increase in capital expenditure by cloud computing companies [31][32]