Cloud GPU Reservation Breakage Exposure

Contrast reserved GPU commitments with actual usage to surface how much spend is stranded each month versus what on-demand pricing or marketplace resale could recover, complete with utilization and hourly rate comparisons for FinOps reviews.

Total monthly hours committed under savings plans or reserved instances.
Actual GPU hours consumed in the same billing period.
Benchmark on-demand price for the same GPU family and region.
Percentage of unused commitment you expect to recoup via resale or credit marketplaces.
Default uses the on-demand rate. Enter the actual committed rate if different.

Validate numbers against your cloud provider's billing console before booking forecast adjustments.

Examples

  • Reserved 12,000 hours, used 8,900 hours, $4.80 on-demand, 35% recovery ⇒ Net breakage $9,672.00, 3,100.00 unused hours, and 74.17% utilization with $5,208.00 recovery potential.
  • Reserved 6,000 hours, used 5,700 hours, $3.60 on-demand, 0% recovery, $3.00 reserved rate ⇒ Net breakage $900.00, 300.00 unused hours, and 95.00% utilization.

FAQ

What if my workloads exceed the reserved hours?

Any usage above reserved capacity is reported as a coverage gap so you can decide whether to add more commitments or leave burst workloads on-demand.

Can I model different reserved prices?

Yes. Enter the actual committed hourly rate in the optional field to see breakage using your contracted discount instead of the on-demand proxy.

How should I handle GPU savings plans that bill in dollars instead of hours?

Convert the commitment to effective hours by dividing the monthly dollar commitment by the on-demand hourly rate for the GPU family.

Does the calculator include spot backfill savings?

Not directly. Subtract any spot offsets from the utilization input or adjust the recovery percentage to mirror secondary-market recapture.

Additional Information

  • Unused cost is calculated with the committed hourly rate; if none is supplied the on-demand rate is used as a proxy.
  • Recovery credits reflect expected proceeds from reservation marketplaces or vendor buyback programs based on your recovery percentage.
  • Utilization is capped at 100% to isolate breakage even if workloads briefly exceed reserved capacity.
  • Effective cost per used hour subtracts expected recovery credits and divides by the actual hours consumed.
  • Coverage gap highlights any workloads bursting past commitments so you can decide whether to top up reservations or keep burst capacity on-demand.