By the end of 2025, China's intelligent computing power ranks second globally
2026-06-09 14:32
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en.Wedoany.com Reported - On June 8, the National Data Administration released the full text of the "Digital China Development Report (2025)", systematically summarizing the progress of Digital China Construction in 2025 and outlining development prospects for 2026. The report shows that as of the end of 2025, the number of computing facility racks in use nationwide exceeded 13.73 million standard racks, 42 ten-thousand-card intelligent computing clusters were built, and the scale of intelligent computing power reached 159 million PFlops (FP16), ranking second globally.

These figures indicate that China's digital infrastructure is transitioning from network popularization and data resource aggregation into a new phase centered on intelligent computing power and AI applications. The rack scale of computing facilities exceeding 13.73 million standard racks suggests that data centers, intelligent computing centers, and cloud infrastructure continue to expand; the formation of 42 ten-thousand-card intelligent computing clusters means that tasks such as large model training, scientific computing, industrial simulation, video generation, autonomous driving, embodied intelligence, and industry-specific large models are receiving more concentrated and higher-density computing support. Intelligent computing power reaching 159 million PFlops (FP16) further demonstrates that China's AI infrastructure has the underlying capability to support large-scale model development and the diffusion of industrial applications. Compared with traditional general-purpose computing, intelligent computing power is more aligned with the needs of deep learning, generative AI, and multimodal models, and its expansion will directly impact algorithm training efficiency, inference service costs, and the speed at which enterprises deploy AI applications.

The report also shows that as of the end of 2025, China's internet user base reached 1.125 billion, with an internet penetration rate of 80.1%.

Changes on the user side are equally noteworthy. Generative AI has shifted from an early novelty tool to a broader range of everyday application scenarios. According to the report, the number of users employing AI to answer questions, generate images and videos, and serve as life assistants reached 457 million, 288 million, and 184 million respectively; among all generative AI users, young and middle-aged users under 40 accounted for 74.6%. This indicates that the use of generative AI is expanding from simple Q&A to multiple scenarios including content production, information retrieval, life assistance, office efficiency, and learning support. For internet platforms, cloud computing companies, terminal manufacturers, and industry application developers, the growing user base means that AI service call volumes, token consumption, inference computing demand, and content security governance pressures will rise simultaneously, making the linkage between computing infrastructure and application ecosystems even tighter.

The report also shows that in 2025, the overall construction of Digital China is characterized by continuous infrastructure reinforcement, increasingly prominent enabling effects, and ongoing optimization of the development environment. The core AI industry scale exceeded 1.2 trillion yuan, high-quality datasets surpassed 110,000, the cumulative scale of data annotation exceeded 85 PB, with related output value reaching 18.3 billion yuan; 5G-A has covered more than 330 cities, 6G R&D has formed over 300 key technologies reserves, and the national integrated computing network experimental verification platform has been put into operation. These indicators collectively point to a trend: the focus of Digital China construction is shifting from "connecting more people and devices" to "driving industrial upgrading through data, computing power, models, and application scenarios." In fields such as manufacturing, energy, transportation, healthcare, education, government services, and cultural content, AI is no longer just a standalone software tool but a new foundational capability embedded in business processes, production systems, and public service systems.

Future development priorities will focus on computing network collaboration, green computing facility construction, high-quality dataset supply, industry-specific large model deployment, and generative AI governance. As AI applications expand from individual users to enterprises and the public sector, the regional layout of intelligent computing power, cross-regional scheduling, energy consumption constraints, and data security rules will become key variables in digital infrastructure construction. In 2026, if Digital China construction is to further unleash the driving effects of "AI+" and "data element ×", it needs to form a more efficient coordination mechanism among computing supply, data circulation, model services, application scenarios, and security governance.

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