Stats Overview for the CUDOS Ecosystem
The Stats page offers real-time and historical insights into the usage of CUDO and CUDOS hardware solutions.
Navigating the Dashboard​
The Stats dashboard is designed to help users easily explore platform and ecosystem activity. Here's how to navigate it.
The dashboard is organised into three tabs:
- All Data: Shows metrics across all usage types.
- On-Demand: Shows metrics specifically related to on-demand deployments.
- Private Cloud Clusters: Shows metrics from bigger cluster environments.
- Transaction Records: Shows on-chain records of ecosystem actions, payments and USDC flows through the ASI chain in Cosmos.
Below is a description of the different sections of the main dashboard.
Timeframe Selection​
Use the range selectors at the top of each metric to customise the period for which data is displayed. Available options include viewing data from the past 7 days or the past 12 months.

Interactive Charts​
Hover over any data point in the charts to reveal the exact figure and date.

Key Metrics Explained​
The CUDOS Intercloud Stats page presents several key metrics that provide insights into platform usage and performance. Here’s a breakdown of each metric:
Spending (USD)​
The total amount spent by users over the selected timeframe. This metric provides insight into the financial growth and adoption.
GPU Hours​
The total number of GPU compute hours consumed across the platform. This metric highlights the demand for high-performance, GPU-intensive workloads.
CPU Hours​
The total number of CPU compute hours consumed. This indicates the volume of general-purpose processing being utilised across deployed resources.
Locations​
The number of active data centers by country, that are contributing resources to the CUDOS Intercloud. There's an interactive map visually displaying the locations of these data centers.

Other Metrics​
Additional important indicators include:
User Registrations: The total number of users who have registered on the platform, showing community growth.
VMs Deployed: The total number of Virtual Machines deployed, showing platform usage and engagement.
Memory Usage: The total memory consumed across deployed instances, providing insight into application resource demands.
Storage Usage: The total disk storage consumed, showing storage needs across deployments.
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