Users submit tasks to be executed on the decentralized BaseGPU Network. The tasks are distributed across Provider Nodes, leveraging the collective GPU power of the network. Nodes execute assigned portions of tasks in parallel, then return results. The Consumer Node aggregates the partial results, enabling efficient distributed processing. This architecture allows the network's GPU capacity to be utilized in a scalable, decentralized manner for demanding computations.
