CPU serves as the general control core, while GPU focuses on parallel computing. NPU and TPU optimize AI computations, and DPU accelerates data scheduling. These four components collaborate through a heterogeneous computing architecture, each taking on roles in general control, parallel computation, AI acceleration, and data transmission, forming a complementary and efficient computing system. In simpler terms, you can think of these processors as “workers” with different skills, each specializing in their tasks within the computing world.