Massive capital is about to pour into the chip and data center circuit. Various companies continue to invest heavily in AI technology research, and almost all relevant participants are looking for ways to improve the predictability of their own investment and earnings. According to reports, the original business of the startup computing power trading platform Compute Exchange was to match GPU owners and short-term renters, but now it is expanding similar matchmaking services and launching future term contracts. This is an off-market private negotiation contract that allows companies to lock in the purchase price of terms for up to six months to hedge against the risk of subsequent AI usage cost fluctuations. There is a difference between the pricing model of term forward contracts and GPU contracts: GPU contracts generally lock in the hourly unit price of computing power required to run AI models; term contracts lock in a uniform price over a longer period of time, and the object of the transaction is also the actual consumption of resources by the enterprise's daily business. Customers can choose from a variety of mainstream open source weighting models provided by six contracted inference service providers. Forward contracts are not exactly equivalent to standardized on-market futures prepared by CME, but they mark the financial market hedging mechanism, which is being further extended to more types of AI cost projects.

Massive capital is about to pour into the chip and data center circuit. Various companies continue to invest heavily in AI technology research, and almost all relevant participants are looking for ways to improve the predictability of their own investment and earnings. According to reports, the original business of the startup computing power trading platform Compute Exchange was to match GPU owners and short-term renters, but now it is expanding similar matchmaking services and launching future term contracts. This is an off-market private negotiation contract that allows companies to lock in the purchase price of terms for up to six months to hedge against the risk of subsequent AI usage cost fluctuations. There is a difference between the pricing model of term forward contracts and GPU contracts: GPU contracts generally lock in the hourly unit price of computing power required to run AI models; term contracts lock in a uniform price over a longer period of time, and the object of the transaction is also the actual consumption of resources by the enterprise's daily business. Customers can choose from a variety of mainstream open source weighting models provided by six contracted inference service providers. Forward contracts are not exactly equivalent to standardized on-market futures prepared by CME, but they mark the financial market hedging mechanism, which is being further extended to more types of AI cost projects.