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GPU Cost Estimator

Estimate the total cloud GPU cost for a training or inference workload.

About GPU Cost Estimator

Cloud GPU rental cost is a simple product of GPU count, hours of usage, and the hourly rate for that GPU model — but the choice of GPU model can swing total cost dramatically. This calculator computes your monthly spend for the selected GPU type and shows a side-by-side comparison across A100, H100, RTX 4090, and V100 at the same usage pattern, helping you weigh raw compute cost against each GPU's throughput for your specific workload.

Formula

monthly_cost = gpu_count × hours × hourly_rate

gpu_count
Number of GPUs
hours
Hours of use
hourly_rate
Cost per GPU per hour

Worked example

With the default values below, GPU Cost Estimator returns Monthly Cost of $10,569.60. Change any input above and every figure here is recalculated in your browser.

Inputs used

Number of GPUsaccepts 1–100,000 GPUs
4 GPUs
Hours of Useaccepts 0–1,000,000 hours
720 hours
GPU Typeone of NVIDIA A100 80GB, NVIDIA H100 80GB, NVIDIA RTX 4090, NVIDIA V100
NVIDIA A100 80GB

Results

Monthly Cost
$10,569.60
Rate per GPU-Hour
$3.67

Step by step

  1. 1Monthly cost= $10569.60

Assumptions and limits

  • The result is derived only from the 3 inputs listed above. Anything not among them is not part of the calculation.
  • In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
  • Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

Why is the H100 more expensive per hour than the A100?

The H100 offers substantially higher throughput (especially for transformer workloads via its Transformer Engine), so providers price it higher, though it may still be cheaper per unit of work completed.

Is the RTX 4090 viable for production AI workloads?

The 4090 is popular for cost-sensitive inference and small-scale fine-tuning, but lacks ECC memory, NVLink, and the VRAM capacity of datacenter GPUs like the A100/H100, making it less suited to large-model training.

Do these rates include storage and networking?

No, these are compute-only hourly rates. Use the AI Deployment Cost Calculator to add storage, load balancing, and bandwidth costs.

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