AI GPU Cost Calculator
Price a training or inference run by GPU-hours.
Renting GPUs for training or self-hosted inference is billed by the GPU-hour, and a multi-GPU run over a weekend adds up quickly. This cloud gpu pricing calculator multiplies your wall-clock hours by the number of GPUs and the hourly rate to give a live figure. Pick a common card like a T4, A100 or H100, or type your own rate, to size the training gpu cost before you spin up a cluster and leave it running.
Your GPU job
GPU cost
$574.08
192 GPU-hours at $2.99/hr
- GPU-hours
- 192
- Price / GPU-hr
- $2.99
- GPUs
- 8
- Cost / hour
- $23.92
Prices are example on-demand rates and vary a lot by provider, region and commitment — spot and reserved capacity can be far cheaper. Enter your own rate for an accurate quote, and add storage, networking and egress separately.
How it works
- 1
Set hours and GPU count
Enter how long the job runs and how many GPUs it uses. Eight GPUs for 24 hours is 192 GPU-hours, which is what the price applies to.
- 2
Pick the GPU or rate
Choose a card from the list for an example on-demand price, or select custom and enter the exact rate your provider quotes for spot, on-demand or reserved capacity.
- 3
Read the run cost
The headline is the total. The stats show GPU-hours, the effective cost per hour and the rate, so you can compare renting more GPUs for less time against fewer for longer.
Instant & 100% private — nothing is uploaded
Every calculation runs locally in your browser. The prompts, token counts and numbers you enter stay on your own device and are never sent to a server — nothing is stored, logged or shared.
Frequently asked questions
- How is ai gpu hours cost worked out?
- It is wall-clock hours times the number of GPUs times the price per GPU-hour. Doubling the GPUs to halve the runtime costs the same in GPU-hours, so the trade-off is about speed and scaling efficiency, not raw price.
- Why are the prices only examples?
- GPU pricing swings widely by provider, region and commitment level. Spot or preemptible instances can be a fraction of on-demand, and reserved capacity is cheaper still. Use the custom field with your provider's real quote for an accurate number.
- Does this include storage and networking?
- No. It is compute only. Persistent disks, object storage, data egress and inter-node networking are billed separately and can be significant for large training runs, so add them on top.
- Should I train in the cloud or use an API?
- For most teams, calling a hosted model API is cheaper and simpler than renting GPUs to train or self-host, unless you have steady high volume or specific model requirements. Compare this GPU cost against the equivalent API cost before committing.
Important
For planning and estimates only. Prices come from a published rate table dated on the page; providers change pricing without notice, and token counts here are approximations. Confirm against the provider’s own pricing before you budget or commit.
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