As the usage of large AI models continues to rise and the scale of computing clusters expands, transformers, once a traditional power accessory, are becoming deeply intertwined with AI development, serving as the "electric heart" that propels the advancement of the intelligent era. The two have formed a mutually beneficial and coexistent development pattern.
The explosive development of AI has imposed unprecedented stringent requirements on power supply, directly driving technological iteration and demand surge in the transformer industry. The power of a single cabinet in traditional data centers is only 5-10kW, while that of a single cabinet in AI supercomputing clusters has soared to 50-100kW. The transformer capacity required for a single intelligent computing center is 4.5 times that of conventional scenarios. AI chips are almost demanding in terms of power supply stability. A voltage fluctuation of more than 3% may lead to the scrapping of chip clusters, which forces transformers to upgrade towards high power, low loss, and intelligence. New products such as high-frequency transformers and solid-state transformers have emerged as the times require. Among them, solid-state transformers can achieve an efficiency of over 98% and a 50% reduction in size, perfectly fitting the high-density requirements of AI computing clusters.
Meanwhile, technological breakthroughs and capacity guarantees in transformers have also laid a solid energy foundation for the development of AI. As the core equipment for power conversion and isolation, transformers are responsible for converting alternating current (AC) from the power grid into stable direct current (DC) required by AI servers, while achieving safe isolation between high and low voltage. They are the "lifeline" for the stable operation of AI computing power 24/7. With 60% of the global transformer production capacity and advantages across the entire industry chain, China's overseas orders are scheduled until 2027, providing solid support for the expansion of AI computing power and driving China's AI model invocation volume to surpass others.
The collaborative development of the two has reshaped the industrial logic. AI technology is integrated into transformer design, enabling intelligent monitoring throughout the entire lifecycle of the equipment, significantly reducing downtime due to faults. Meanwhile, customized upgrades of transformers provide a precisely tailored power supply solution for AI chips and computing clusters, breaking the linear model of traditional supply chains.
The deep integration of AI and transformers is an inevitable product of the era of computing power. The development of AI has propelled transformers from being mere "supporting components" to becoming "strategic nodes," while technological innovations in transformers have made it possible for AI to break through the bottleneck of power. In the future, with the advancement of the "computing-power synergy" strategy, the two will continue to mutually empower each other, jointly outlining the development blueprint for the intelligent era.