With compute hardware costs climbing rapidly, decentralized compute networks are gaining traction as a viable alternative. DECLOUD offers a unique approach: model creators upload their training tasks, independent trainers execute the computational work using spare GPU resources, and validators oversee the process to ensure quality and fair reward distribution. This three-layer model creates incentives for efficient resource utilization while addressing the growing demand for affordable AI training infrastructure.