“In the age of AI reasoning, computing power requirements are characterized by fragmentation and flexibility. The 'computing grid' concept we have proposed is to schedule computing power like a national grid dispatches electricity, so that enterprises can use computing power like a 'socket for electricity'.” In Zhongguancun, Beijing, Fu Zhi, founder and CEO of Beijing Gongji Technology Co., Ltd., described the company's development picture to reporters. This science and innovation enterprise, which grew up from the Tsinghua Laboratory, obtained initial loan and capital matchmaking services from China Merchants Bank with its advantages in computing power scheduling technology, and has become a vivid sample of the new bank credit model. Under the wave of artificial intelligence, the industrial value of computing power continues to be highlighted. In the past, banks relied on credit models that relied on physical collateral, making it difficult to adapt to the development characteristics of some AI science and innovation enterprises. To this end, banks are reshaping enterprise evaluation scales, breaking out of the evaluation framework for traditional hard assets such as land and factory buildings, and launching financial products such as computing power token loans around scenarios such as computing power supply, application, and service, to try to convert computing power flows into credit lines. A change in credit valuation logic is taking place.

“In the age of AI reasoning, computing power requirements are characterized by fragmentation and flexibility. The 'computing grid' concept we have proposed is to schedule computing power like a national grid dispatches electricity, so that enterprises can use computing power like a 'socket for electricity'.” In Zhongguancun, Beijing, Fu Zhi, founder and CEO of Beijing Gongji Technology Co., Ltd., described the company's development picture to reporters. This science and innovation enterprise, which grew up from the Tsinghua Laboratory, obtained initial loan and capital matchmaking services from China Merchants Bank with its advantages in computing power scheduling technology, and has become a vivid sample of the new bank credit model. Under the wave of artificial intelligence, the industrial value of computing power continues to be highlighted. In the past, banks relied on credit models that relied on physical collateral, making it difficult to adapt to the development characteristics of some AI science and innovation enterprises. To this end, banks are reshaping enterprise evaluation scales, breaking out of the evaluation framework for traditional hard assets such as land and factory buildings, and launching financial products such as computing power token loans around scenarios such as computing power supply, application, and service, to try to convert computing power flows into credit lines. A change in credit valuation logic is taking place.