Computational Resource Management

The computational resources are managed and scheduled through a decentralized cluster system. Each compute node collaborates via the Lumoz chain, with decentralized protocols ensuring efficient communication and resource sharing between nodes.

Core Functions:

• Node Management: Manages node joining or leaving the network, as well as user rewards and penalties.

• Task Scheduling: AI tasks are dynamically assigned to different compute nodes based on their load, optimizing resource utilization.

• Model Management: Stores hot models in mirrored storage to improve user network entry and model computation start-up speed.

• Node Monitoring: Continuously monitors the health and task load of each node in the cluster to ensure high availability and stability of the system.