AI Sparks Dramatic Computing Power Growth in China

Sunday, 29 September 2024, 01:09

AI-driven demand accelerates the growth of computing power in China, with the nation achieving a remarkable 25% increase in total capacity. The shift towards intelligent computing supports the rising need for robust digital infrastructure, revealing a clear path toward reaching ambitious targets.
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AI Sparks Dramatic Computing Power Growth in China

AI Drives Expansion of Total Computing Power in China

Total computing power in China surged by 25% during the first half of the year, prompted by the increasing needs of artificial intelligence (AI). As of June, computing capacity reached 246 EFLOPS (quintillion floating-point operations per second), revealing the country’s commitment to enhancing digital infrastructure. This growth marks a significant improvement from last year's 197 EFLOPS and positions China towards its ambitious goal of achieving 300 EFLOPS by 2025.

Intelligent Computing: A Key Growth Area

According to the 2024 report, intelligent computing power utilized for AI tasks experienced a remarkable 65% increase. This shows a clear trend in the demand for superior computing capabilities that support growing technologies. China currently stands as the second-largest computing powerhouse globally, following the United States, which comprises 32% of the world’s total computing power.

  • 2024 report from CAICT highlights ongoing advancements.
  • Zhao Zhiguo emphasizes the urgent push for digital infrastructure.
  • Progress in pivotal technologies such as high-end chips is essential.

Addressing Regional Imbalances with Strategic Initiatives

China's Ministry of Information and Technology aims to address regional disparities through initiatives like the Eastern Data and Western Computing project, promoting a harmonious balance between prosperous eastern regions and wealthier energy-rich western areas.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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