The Resource Usage Report provides a comprehensive overview of your resource consumption within a specified timeframe. It helps you analyze cost breakdowns, identify optimization opportunities, and make informed decisions about resource allocation.

Accessing the Resource Usage Report

Access to the usage report portal through the url: https://aiplatform.console.greennode.ai/usage-report

The Resource Usage Report is divided into four main views:

1. Summary View

• Total Estimated Cost: Displays the total estimated cost for the selected time period, broken down by resource type (GPU, CPU, and Storage).
• Resource Usage Breakdown: Provides a visual representation of the resource usage distribution across different resource types.
• Cost Breakdown: Shows a detailed breakdown of costs based on resource type and usage.

2. GPU View

• GPU Usage: Displays the total estimated GPU usage for the selected time period.
• GPU Utilization: Visualizes the utilization of individual GPU cards over time.
• Cost Breakdown: Shows the cost breakdown for each GPU card.

3. CPU View

• CPU Usage: Displays the total estimated CPU usage for the selected time period.
• Instance Usage: Visualizes the usage of different CPU instance types.
• Cost Breakdown: Shows the cost breakdown for different CPU instance types.

4. Storage View

• Storage Usage: Displays the total estimated storage usage for the selected time period.
• Storage Volume Usage: Visualizes the usage of different storage volumes types.
• Cost Breakdown: Shows the cost breakdown based on storage volume size and usage.

Querying the Report

The Resource Usage Report allows you to query usage data for specific time periods:

• Daily View: View detailed usage information for the last ten days.
• Hourly View: View hourly usage data for the last 72 hours.

Tips for Effective Usage

• Regularly Monitor Usage: Keep track of resource consumption to identify trends and potential optimization opportunities.
• Optimize Resource Allocation: Adjust resource allocations based on usage patterns to maximize efficiency and minimize costs.
• Utilize Cost Optimization Tools: Leverage the platform's cost optimization tools to identify cost-saving measures.
• Consider Reserved Instances: Evaluate the use of reserved instances for consistent workloads to reduce costs.
• Monitor Performance Metrics: Track performance metrics like CPU utilization, memory usage, and network throughput to identify bottlenecks and optimize resource allocation.

By effectively utilizing the Resource Usage Report, you can gain valuable insights into your resource consumption and make informed decisions to optimize your costs and performance.