🌃Decentralized GPU Layer

The decentralized GPU layer adopts a distributed architecture, composed of GPU nodes distributed across different data centers and geographical locations. Although nodes operate independently, they achieve collaborative work through efficient network connections.

Each node cluster is equipped with multiple GPUs, possessing independent computing and storage capabilities to handle large-scale parallel computing tasks. We adopt a heterogeneous computing architecture, combining general-purpose CPUs with specialized processors. Compared to traditional homogeneous architectures, this design can more effectively handle diverse tasks. Different types of processors have their respective strengths, and through reasonable task allocation, system overall performance can be significantly improved. Specialized processors excel in specific tasks, not only delivering superior performance but also effectively reducing system energy consumption.