What is the key challenge of decentralized computing networks? It is matching and pricing.

When a user requests a computation task, the system must automatically decide which node to assign it to. The problem is that the resource requirements for each request vary greatly. There are light computations, as well as heavy AI model training.
So how can a fair compensation system be created? Simply using first-come, first-served or fixed prices leads to inefficiencies. In a market where demand and supply change in real time, dynamic pricing mechanisms and smart resource allocation algorithms are essential.
Ultimately, the success or failure of the decentralized computing market depends on how well this balance is maintained.