Factory And Supply
Computing Power Reshapes China's Manufacturing: From Scale Advantage to Smart Factories
China's manufacturing industry is shifting from traditional scale and labor advantages to intelligent factories driven by computing power, data, and AI. Practices in the Guangdong region demonstrate this profound transformation.
Computing Power Reshapes Chinese Manufacturing: From Scale Advantage to Smart Factories
At TCL's production workshop in Huizhou, Guangdong, rows of televisions move along automated assembly lines. A robot system driven by 3D vision and AI is precisely connecting the signal and interface ports of each device—a task that once relied entirely on manual labor. According to Lei Dengsi, Senior Engineer at TCL Industries, since the introduction of this system last year, the product yield rate has reached 99.8%.
This scene reflects a deep transformation underway in Chinese manufacturing. As the world's largest manufacturing country for 16 consecutive years, China is moving beyond its traditional advantages of scale and labor, leveraging computing power, data, and AI to build smarter, more flexible factories. This transformation is not merely a technological upgrade but a crucial path for Chinese industry to leap from "manufacturing" to "intelligent manufacturing."
From Automation to Intelligence: The "Nerve Center" of Factories
TCL's transformation has progressed through stages of automation, digitization, and intelligence. Chen Zhanyuan, Deputy General Manager of TCL Industries' Smart Display Business Unit, pointed out that in the past, production management heavily relied on worker experience and fragmented systems, making it difficult to respond quickly to issues. Today, smart manufacturing systems make factories "more connected, data-driven, and flexible."
This change is not an isolated case. In Dongguan, at Dongguan Moldbao Smart Technology Co.'s digital workshop, electrodes of different shapes and sizes are stored on automated shelves and precisely delivered to mold processing stations. Wang Sheng, Vice President of the company, stated: "Molds are the foundation of industry. As consumer products diversify and update faster, manufacturers need higher precision, stability, and flexibility." Smart factories achieve these requirements through data and AI.
At Haday's soy sauce brewing workshop in Gaoming, Foshan, traditional craftsmanship has been given a digital life. An AI vision system identifies over 13,000 soybeans per second, an intelligent filling system ensures extreme precision, and another AI technology can distinguish more than 170 aroma profiles. This digital transformation of a centuries-old condiment manufacturer proves that smart transformation has permeated even the most traditional industries.
Computing Infrastructure: The "Foundation" of Smart Manufacturing
The driving force behind these factories is the growing computing power. Industrial internet systems collect massive real-time data, and computing resources transform this data into decisions—from optimizing production processes to improving AI quality inspection accuracy. China's computing power has ranked among the top globally, with AI computing becoming a significant growth driver. The declining cost of computing has enabled even small and medium-sized factories to deploy AI algorithms.
Practice in Dongguan shows that when algorithms are tightly integrated with industrial processes, they can continuously learn from vast production data, improving accuracy, stability, and adaptability to different industrial scenarios. Wang Sheng emphasized, "As automation expands on the production line, algorithms are continuously improved through real-world production data, making them increasingly precise."The rise of intelligent manufacturing has also created new markets for upstream computing technology suppliers. Guangzhou's CanSemi Technology regards industrial intelligence as a growth opportunity, while the large amount of data generated by its own production can be used to improve the intelligence level of factories. Guangdong Fenghua Advanced Technology Holding has introduced an AI-assisted R&D system and a high-throughput laboratory in the production of high-end multilayer ceramic capacitors to accelerate innovation. Cao Xiuhua, Vice President of the company, said: "The next step is to connect the data of the entire value chain from demand, R&D to production and delivery."
The Guangdong-Hong Kong-Macao Greater Bay Area: A Testbed for the Integration of Computing and Manufacturing
As one of China's major computing power hubs, the Guangdong-Hong Kong-Macao Greater Bay Area is becoming a testbed for integrating computing resources with the manufacturing industry. In Jiangmen, the local Industrial Technology Research Institute, in collaboration with Sun Yat-sen University, has established a sub-center of the National Supercomputing Center, providing supercomputing resources directly to manufacturers. This helps local industries advance engineering innovation, develop new products, and digitally upgrade production lines. Dong Yinghu, Deputy Director of the Jiangmen Science and Technology Bureau, said: "We encourage and support the expansion of computing resources to small and medium-sized manufacturers." Public cloud and intelligent computing platforms can lower the cost of adoption.
Foshan's Yizumi started its digital transformation in 2018. Its intelligent injection molding machines and large die-casting machines are used by electric vehicle manufacturers to produce components such as motors, batteries, and instrument panels. Last year, the company launched its first AI-powered die-casting machine, which can automatically adjust process parameters based on detected defects. Chief Technology Officer Zhou Jun frankly admitted: "When we first built the smart factory, we did not foresee that computing power would develop so rapidly. Now we will adjust our technology roadmap to better seize the opportunities brought by computing power."
The Macro Picture of Industrial Upgrading
China's "15th Five-Year Plan" (2026-2030) lists intelligent transformation, digitalization, and networking as key directions for the manufacturing industry, encouraging the widespread adoption of intelligent manufacturing and industrial internet technologies. This reflects that at the policy level, intelligent manufacturing is seen as the core engine of industrial upgrading.
International financial technology analyst Daryl Guppy commented that Chinese factories are upgrading at an astonishing speed, "a quiet factory revolution" is changing the nature of labor. He described China as becoming the "smart factory of the future" amid a broad industrial transformation.
Industrial Chain Impact and Future TrendsThe promotion of smart manufacturing is reshaping multiple industrial chains: - Industrial robots: From simple repetitive tasks to AI vision and adaptive grasping, the penetration rate of domestic robots is increasing. - Industrial software: Demand for software in production management, quality monitoring, supply chain collaboration, etc., is exploding. - Computing infrastructure: Supercomputing centers and cloud computing platforms are moving into manufacturing, and edge computing scenarios are increasing. - Semiconductors: Demand for industrial-grade AI chips, sensors, MLCCs, and other components is upgrading. - Traditional industries: Traditional industries such as food and molds achieve cost reduction and efficiency improvement through intelligence, maintaining competitiveness.
From a global perspective, China's smart manufacturing not only reduces reliance on cheap labor but also improves product consistency and innovation speed. For global buyers, this means that "Made in China" is shifting from "cost-performance" to "technology added value", and supply chain partners need to adapt to higher technical synergy requirements.
In the future, continuous progress in computing power will drive the popularization of "lights-out factories", self-optimizing production lines, and C2M (customer-to-manufacturer) models. This "computing power revolution" in China's manufacturing industry is redefining the rules of global manufacturing competition.
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