Clusters Page
The Clusters Page provides a public overview of all deployed clusters within the network, along with real-time metrics on active bookings. This feature helps users assess the current status of computational resources and understand the demand for decentralized compute power.
Key Metrics Displayed:
- Total Compute Hours Served (cumulative processing time delivered by the network)
- Total GPU/CPU Hours Served Today (compute usage over the last 24 hours)
- Today's Network Earnings Graph ($) (real-time earnings visualization)
- Total Network Earnings Graph ($) (historical earnings trend)
- Currently Running Clusters (active clusters providing compute power)

Network Daily Earnings Graph
The Earnings Graph illustrates how much users can generate by contributing their GPUs/CPUs to the network.
- Click on any column to view the exact amount earned for that day.
- Track fluctuations in earnings and compute demand over time.

List of Clusters
The Clusters Table provides a transparent, real-time view of all deployed clusters and their associated compute bookings.
The table includes:
- Cluster Status (active, idle, or under maintenance)
- Cluster ID (unique identifier for each cluster)
- Remaining Compute Hours (available processing capacity)
- Device Types & Quantities (hardware resources within each cluster)
This page enables users to monitor compute resource availability, track network performance, and optimize cluster utilization in real time.

Updated 10 days ago