Liu Jun, executive vice president of Lenovo Group and president of China, said that the current industry competition logic has changed from “peak computing power” to “token production efficiency,” and computing power is still in short supply. He believes that with the continuous development of large models and intelligent applications, the demand for training and inference is growing at an accelerated pace, global investment in AI infrastructure is still sustainable. The data on the 4 trillion computing power network investment plan for the “15th Five-Year Plan” period released by the National Development and Reform Commission also shows that the core contradiction in the computing power industry is not “surplus,” but rather the urgency of “structural upgrading.”

Liu Jun, executive vice president of Lenovo Group and president of China, said that the current industry competition logic has changed from “peak computing power” to “token production efficiency,” and computing power is still in short supply. He believes that with the continuous development of large models and intelligent applications, the demand for training and inference is growing at an accelerated pace, global investment in AI infrastructure is still sustainable. The data on the 4 trillion computing power network investment plan for the “15th Five-Year Plan” period released by the National Development and Reform Commission also shows that the core contradiction in the computing power industry is not “surplus,” but rather the urgency of “structural upgrading.”