AI Compute Cost Calculator
Compare real GPU cloud pricing, estimate a training run’s total cost, model inference spend, and see when renting stops being cheaper than owning — all built from published 2026 provider pricing.
GPU Price Comparison
Training Cost
Inference Cost
Rent vs Own
| Provider | $ / GPU-hour | Relative |
|---|
Enter your run
A single large training run commonly uses 8–1000+ GPUs in parallel.
240 hours ≈ 10 days of continuous training.
Estimated cost
$0
Total run cost
$0
Cost per hour
$0
Cost per day
Enter your usage
Estimated cost
$0
Per month
$0
Per day
$0
Per 1M requests
Your workload
720 = running 24/7 all month. Most teams run well below that.
Default is H100 SXM on-demand mid-tier pricing.
H100-class cards run roughly $25K–$40K per unit in 2026.
Rent vs. own, over 3 years
$0
3-yr cost to rent
$0
3-yr cost to own
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Breakeven utilization
Pricing compiled from publicly published rates (RunPod, Lambda Labs, CoreWeave, Nebius, AWS, Azure, Google Cloud, Vast.ai, and third-party trackers) as of September 2026. GPU cloud pricing changes frequently and varies by region, commitment term, and availability — treat these as directional estimates for budgeting, not quotes. Need real numbers for a specific deal? Talk to us →