Resource Usage
Monitor your organization's Data Rows, Compute Credits, and Collaborator consumption in Datature Vi.
To check your organization's resource consumption in Datature Vi, open Settings, then select the Resources tab. You'll see current usage, total quotas, and renewal dates for Data Rows, Compute Credits, and Collaborators.
- You need Owner, Admin, or Member access to view resource usage
- To upgrade your plan or purchase add-ons, you need Owner access
What are resources?
Datature Vi tracks three resource types. Each one acts as a budget for a specific type of activity:
Data Rows
Data Rows measure asset storage and annotation activity. Every image you upload and every annotation pair you create draws from your Data Row quota.
What consumes Data Rows?
Example calculation
For a phrase grounding dataset of 100 images with 50 annotation pairs:
Uploading 100 images consumes 500 Data Rows (100 x 5). Creating 50 annotation pairs consumes 50 Data Rows (50 x 1). The total for this dataset is 550 Data Rows.
Tips to reduce Data Row consumption
- Remove duplicate or low-quality images before uploading
- Organize your local dataset first to avoid re-uploading
- Import pre-labeled annotations in bulk rather than creating them one at a time
- Delete unused assets to reclaim your Data Row quota
Compute Credits
Compute Credits measure GPU time. One Compute Credit equals one minute of GPU time on a single NVIDIA T4. Higher-tier GPUs and multi-GPU configurations consume more Compute Credits per real-time minute.
GPU multipliers
Not all GPUs consume Compute Credits at the same rate. Higher-performance GPUs have higher multipliers because they provide more compute power (more VRAM, faster processing, larger model support). The T4 is the baseline at 1.0. Every other GPU is expressed as a multiple of that baseline.
Multi-GPU multipliers scale linearly with GPU count. For 4× A10G, the multiplier is 10.0 (4 × 2.5).
Example calculation
A training run on 4× A10G GPUs for 45 minutes:
The 4× A10G multiplier is 10.0. Over 45 minutes, that totals 450 Compute Credits (10.0 × 45).
What consumes Compute Credits?
Estimating Compute Credit costs
Tips to reduce Compute Credit consumption
- Start with a single T4 to validate your training configuration before scaling up
- Enable early stopping to end runs that are no longer improving
- Cancel runs that show no sign of converging rather than waiting them out
- Use T4 or L4 for experimentation and A100 or H100 for production runs
Collaborators
Collaborators track team member seats. Each person you invite uses one slot. Removing a member frees that slot immediately.
Example: If your plan allows 10 Collaborators and you currently have 7 members, you have 3 available slots. Inviting 2 new members brings usage to 9 slots with 1 remaining. Removing 1 member afterward brings it to 8 slots used with 2 available.
To manage team members, see Add members and Remove members.
Reading the Resources page
The Resources page shows three indicators for each resource type:
- Current consumption: How much you've used
- Total quota: Your plan's limit
- Progress bar: Visual percentage of usage used
At the bottom right is your plan's monthly renewal date. This is when your Compute Credits reset. Data Rows and Collaborators are fixed allocations, so they will not reset each month.
Usage updates in real time as you upload assets, create annotations, start runs, deploy models, and invite or remove members.
Plan quotas
Resource quotas depend on your subscription plan:
The table above shows example allocations. Your actual quotas depend on your specific subscription. Check the Resources page for your current plan and quotas.
Renewal schedule
- Data Rows: fixed to your plan; do not renew monthly
- Compute Credits: renew monthly on your plan anniversary date
- Collaborators: fixed slots; do not renew monthly
What happens when you hit a limit?
Common troubleshooting
Frequently asked questions
Upgrading your plan
Consider upgrading when:
- You're consistently reaching 80%+ of any quota
- You're planning a larger project that will exceed current allocations
- Your team needs more Collaborator slots
- You're training larger models or running more frequent experiments
To upgrade, click Change Plan on the Resources page, or contact [email protected] for Enterprise plans and custom quotas.
Next steps
Updated about 1 month ago
