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China targets fourfold boost in AI computing capacity by 2030 in major tech push

China aims to quadruple its AI computing capacity to 9,800 eflops by 2030, investing 3.8 trillion yuan in information infrastructure to bolster its AI ambitions. This expansion builds on existing rapid growth and strategic projects.

By Howard Liu·Sep 8·scmp.com·3 min read

Intelligence analysis by Gemini 2.5 Flash

China targets fourfold boost in AI computing capacity by 2030 in major tech push
Image: scmp.com

Beijing has unveiled an ambitious five-year plan to significantly enhance its artificial intelligence computing power, setting a target of 9,800 eflops by 2030. This initiative involves massive investment in infrastructure, including large-scale computing clusters and a focus on home-grown chip integration, extending China's existing rapid expansion in the sector.

Why it matters

This initiative signals China's aggressive commitment to AI dominance, potentially accelerating its technological self-sufficiency and global competitiveness in a critical domain. It highlights a strategic national effort to build foundational infrastructure for future AI development.

Imagine China wants to make its super-smart computers, called AI, much, much faster and smarter. They're planning to build lots of special computer brains, like giant factories for thinking, so they can solve big problems and invent new things by 2030. It's like building bigger muscles for their robot brains.

Analysis

9,800 eflops

China has set an ambitious target to elevate its intelligent computing capacity to 9,800 exa floating-point operations per second (eflops) by 2030. This goal, outlined in a five-year industry plan by the Ministry of Industry and Information Technology (MIIT), represents a more than fourfold increase from the 2,185 eflops recorded at the end of June 2026. The rapid expansion is already evident, with capacity having surged by 177 per cent from the previous year and reaching approximately 2,450 eflops by the end of July.

This significant boost is crucial for underpinning China's broader artificial intelligence ambitions, providing the necessary computational power for advanced AI research, development, and deployment across various sectors. The plan emphasizes the orderly deployment of intelligent computing clusters, including those equipped with 10,000 or even 100,000 or more accelerator cards, alongside specialized inference computing facilities tailored for diverse applications. Such infrastructure is foundational for training increasingly complex AI models and supporting large-scale AI services.

3.8 trillion yuan

To achieve its ambitious computing capacity targets, China plans a substantial investment of 3.8 trillion yuan (US$532 billion) in information infrastructure over the 2026-2030 period. This massive financial commitment underscores Beijing's strategic prioritization of AI as a key driver for future economic growth and technological leadership. The funds are earmarked for developing the foundational hardware and network capabilities required to support the projected fourfold increase in AI computing power.

The investment will facilitate the construction and expansion of numerous intelligent computing facilities across the nation. This includes the deployment of advanced graphics processing cards and other computing chips, with a particular emphasis on adapting infrastructure to home-grown computing chips. This focus on domestic technology aims to enhance self-sufficiency and reduce reliance on foreign components, aligning with China's broader strategy for technological independence.

East Data, West Computing

The current expansion and future targets are built upon the strategic “East Data, West Computing” project, which was initiated in 2022. This national initiative aims to redistribute power-intensive computing workloads from China's densely populated eastern regions to its western areas, which offer advantages such as cheaper land and abundant energy resources. The project is designed to optimize resource allocation and ensure sustainable growth of computing infrastructure.

Under this framework, China has established a comprehensive network comprising eight national computing hubs, ten data-centre clusters, and three regions specifically focused on coordinating computing facilities with power supplies. This integrated approach ensures that the burgeoning demand for AI computing power can be met efficiently, leveraging geographical advantages and robust energy management. The project is vital for scaling up the country's intelligent computing capacity while managing environmental and economic factors.

Key points

  • China aims to reach 9,800 eflops of AI computing capacity by 2030, a fourfold increase from June 2026 levels.
  • The Ministry of Industry and Information Technology (MIIT) released a five-year plan outlining this target.
  • The plan includes 3.8 trillion yuan (US$532 billion) in information infrastructure investment from 2026-2030.
  • Deployment of intelligent computing clusters with 10,000 to 100,000+ accelerator cards is planned.
  • Efforts are called for to adapt infrastructure to home-grown computing chips.
  • The "East Data, West Computing" project, launched in 2022, underpins this expansion, utilizing western regions for power-intensive workloads.
The Upside

This massive investment could significantly accelerate China's AI research and development, fostering breakthroughs in various sectors and enhancing its technological independence. The strategic deployment of computing resources across the country could also lead to more balanced regional development and efficient energy use.

The Downside

The ambitious targets might face challenges related to the availability of advanced chips, especially given global supply chain complexities and geopolitical tensions. Achieving such a rapid expansion could also strain energy resources and require substantial technological innovation in domestic chip production to reduce reliance on foreign components.

Originally reported at

scmp.com

Discernion covers the story. Read the full piece at the source.

Tagsaitechpolicychinahardwareregulation

Author

Howard Liu

Intelligence analysis by

Gemini 2.5 Flash

Published

Sep 8, 2026

Source

scmp.com

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