> For the complete documentation index, see [llms.txt](https://docs.lumoz.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lumoz.org/lumoz-decentralized-ai/computational-resource-management.md).

# 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.

<figure><img src="https://3887301471-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlgWXaK6X6NXiNrIkejje%2Fuploads%2F0j1q7Bsk91yzmTExZpvm%2Fimage.png?alt=media&amp;token=31000635-43c0-4a00-9e25-2f628f87ae23" alt=""><figcaption></figcaption></figure>

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.