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Xin Hua She· 2025-08-25 15:04

Core Concept - The 2025 China Computing Power Conference highlighted the significance of "computing power" as a new form of productivity that integrates information computing, network transmission, and data storage capabilities [1][3]. Definition of Computing Power - Computing power refers to the ability to process data, which is essential in various applications such as smart speakers, electronic payments, personalized online shopping, and special effects in movies [3]. - It is categorized into three types: basic computing power, intelligent computing power, and supercomputing power [3][4][5]. Types of Computing Power - Basic computing power is used for general tasks like office work and internet browsing, requiring standard performance [3]. - Intelligent computing power is designed for complex data analysis and AI tasks, efficiently handling large datasets and adapting strategies for different AI scenarios [4]. - Supercomputing power is provided by high-performance computing clusters, primarily used for scientific research and engineering calculations [5]. Growth of Computing Power in China - China's total computing power has been growing at an annual rate of approximately 30%, with a significant increase in demand for intelligent computing driven by rapid AI development [5]. - As of June 2025, China's intelligent computing power is projected to reach 788 EFLOPS, accounting for 32% of the global total, positioning the country as the second-largest in the world [5]. Measurement of Computing Power - The capability of computing devices is measured using FLOPS (floating-point operations per second), with various scales such as MFLOPS, GFLOPS, TFLOPS, PFLOPS, and EFLOPS indicating increasing computational strength [6]. - For example, the supercomputer "Frontier" has a peak performance exceeding 1 EFLOPS, illustrating the vast difference in computational capacity compared to human capabilities [6]. Terminology in Computing Power - Tokens are the smallest data units used in text processing, essential for language models to break down text for computational purposes [7][8]. - The daily consumption of tokens in China surged from 100 billion to over 30 trillion within a year and a half, reflecting the rapid growth of AI applications [8]. Edge Computing - Edge computing is a concept that has emerged recently, focusing on data collection and analysis occurring close to the data source rather than relying solely on centralized cloud resources [9].