Skip to main content
Crusoe Support Help Center home page
Crusoe

How-To Obtain Resource Level Cost using Billing Dashboard

Sagar Lulla
Sagar Lulla
Updated

Last Updated: Jan 12, 2026

Introduction

Understanding resource-level costs is crucial for effective cloud cost management and optimization. This guide will walk you through the process of accessing and exporting detailed billing data from the Crusoe Cloud Billing Dashboard. By following these steps, you'll be able to view granular cost breakdowns by individual resources, analyze spending patterns, and make informed decisions about your cloud infrastructure investments.

The Billing Dashboard provides comprehensive cost visibility with filtering capabilities that allow you to drill down into specific projects, resource types, regions, and time periods to get the exact cost information you need.

Prerequisites

Before you begin, ensure you have:

  • Active access to the Crusoe Cloud console
  • Appropriate billing permissions to view cost data
  • Billing data available (data is accessible starting from May 1, 2025, onwards)
  • Basic familiarity with CSV file formats for data analysis

Step-by-Step Instructions

  1. Access the Crusoe Cloud Console
  • Navigate to the Crusoe Cloud console in your web browser
  • Log in using your credentials
  • Ensure you have the necessary permissions to access billing information

2. Navigate to the Billing Dashboard

  • Locate and click the "Billing" tab in the left navigation panel
  • Once in the Billing section, click the "Dashboard" tab on the top navigation bar
  • The dashboard will load displaying your current billing overview and graphical representations of your costs
  • Take note of the at-a-glance billing summary which provides high-level cost information

3. Configure Filters for Your Analysis

  • Locate the filter options above the billing graphs
  • Adjust the time period using the date range selector to focus on your desired timeframe
  • Select specific projects from the project filter if you want to analyze costs for particular projects only
  • Choose specific resource types to narrow down your analysis to particular services or infrastructure components
  • Filter by regions if you need to analyze costs for specific geographical locations
  • Important Note: Filters apply only to the graphs and exported data, not to your at-a-glance billing summary

Example Filter Configuration: If you want to view the cost incurred for h100-80gb-sxm-ib.8x VMs for the month of May and for a specific project named "kind-seed-811", you would:

  • Set the time period to May 2025
  • Select "kind-seed-811" from the project filter
  • Choose "h100-80gb-sxm-ib.8x" from the resource type filter

These filters will show the total amount in cost per day based on your criteria, but note that the dashboard graphs provide aggregated views and do not display individual resource-level insights at this stage.

4. Export Resource Level Cost Data

  • Click the "Export Data (CSV)" button located on the dashboard
  • A dialog or options panel will appear allowing you to select additional filters for your export
  • Choose any additional filtering criteria you want to apply to your exported data
  • Confirm your export settings and initiate the download
  • The CSV file will be generated and downloaded to your default download location

5. Access Resource Level Details

  • Locate and open the downloaded CSV file using a spreadsheet application (Excel, Google Sheets, etc.)
  • Review the file structure which contains detailed resource-level usage and cost information
  • Analyze the data columns which typically include resource identifiers, usage metrics, costs, time periods, and other relevant billing details

Understanding the CSV Structure: The exported CSV contains the following key columns:

  • usage_date: The specific date of resource usage
  • project_name: Name of the project associated with the resource
  • project_id: Unique identifier for the project
  • resource_name: Individual name of the specific resource (e.g., VM instance name)
  • resource_id: Unique identifier for the individual resource
  • resource_type: Type of resource (e.g., h100-80gb-sxm-ib.8x)
  • region: Geographic region where the resource is deployed
  • unit_price: Cost per unit of usage
  • quantity: Amount of usage (e.g., hours of compute time)
  • metric: Unit of measurement (e.g., instance-hours)
  • total_price: Total cost for that specific resource and date

This granular data allows you to identify exactly which individual resources are contributing to your costs and their specific usage patterns.

Note on Dashboard Display: The billing dashboard groups compute costs by product line (e.g., "H100") rather than by individual product SKU (e.g., "h100-80gb-sxm-ib.8x"). To view costs broken down by specific product SKU, export the data to CSV as described in Step 4.

Example

Scenario: A development team needs to analyze the costs of their h100-80gb-sxm-ib.8x VMs for the "kind-seed-811" project during May 2025 to understand which specific instances are driving their compute costs.

Process:

  1. Access the Billing Dashboard following steps 1-2
  2. Set filters:
    • Time period: May 2025
    • Project: kind-seed-811
    • Resource type: h100-80gb-sxm-ib.8x
    • Region: us-east1
  3. Export the filtered data using the CSV export function
  4. Open the resulting CSV file

Expected Results: The exported CSV will contain detailed line items showing individual VM costs. For example, the data might look like this:

usage_date project_name resource_name resource_id resource_type region unit_price quantity metric total_price
2025-05-20 kind-seed-811 crusoe-rke-worker-0 b1860b74-d0bc-447f-902d-fa3ae05a4f27 h100-80gb-sxm-ib.8x us-east1 31.20 1.622222 instance-hours 50.61
2025-05-20 kind-seed-811 crusoe-rke-worker-1 fde9ee3a-29b3-4165-ac65-6a7633b81a44 h100-80gb-sxm-ib.8x us-east1 31.20 1.644444 instance-hours 51.30

Analysis Insights: From this data, the team can confirm that:

  • Two specific VMs (crusoe-rke-worker-0 and crusoe-rke-worker-1) are contributing to the h100-80gb-sxm-ib.8x costs
  • Each VM ran for approximately 1.6 hours on May 20th, 2025
  • The hourly rate for these instances is $31.20
  • Total cost for both instances on this day was $101.91 ($50.61 + $51.30)
  • Both instances are running in the us-east1 region

This granular view enables the team to track individual resource consumption, identify optimization opportunities, and make informed decisions about scaling or rightsizing their infrastructure.

Troubleshooting

Issue: No billing data visible

  • Solution: Verify that you're viewing dates from May 1, 2025, onwards, as billing data is only available from this date forward. Check that you have appropriate billing permissions for your organization.

Issue: CSV file is empty or contains no resource-level details

  • Solution: Check your filter settings to ensure they're not too restrictive. Verify that you have actual resource usage during the selected time period and that the resources you're looking for fall within your applied filters.

Issue: Unable to access the Billing tab

  • Solution: Contact your organization administrator to verify that your account has the necessary billing permissions. Some organizations restrict billing access to specific roles or users.

Additional Resources

Related to

Was this article helpful?

0 out of 0 found this helpful

Still need help?

Our support team is ready to assist you with any questions.

Have more questions? Submit a request

Recently Viewed

Comments

0 comments

Article is closed for comments.