What is the Cloud GPU Instance Cost Calculator?
This tool estimates how much you will spend running GPU-accelerated cloud instances. Whether you are training a machine-learning model, rendering video, or running inference workloads, cloud providers typically bill per GPU per hour. This calculator multiplies the hourly rate by the number of GPUs and the number of hours to give you a clear total, plus handy daily and monthly equivalents for budgeting.
How to use it
Enter three values: the hourly rate charged per GPU (for example $2.50/hr), the number of GPUs in your instance or job, and the hours you expect to run. The calculator returns the total cost, the cost attributable to a single GPU over the period, and equivalent 24-hour and 730-hour (one-month) costs to help you compare on-demand spend with reserved or monthly pricing.
The formula explained
The core equation is simply $$\text{cost} = \text{rate} \times \text{gpus} \times \text{hours}$$ The monthly equivalent uses 730 hours, the industry-standard average number of hours in a month (365 days × 24 ÷ 12). Note that rates vary widely by provider, region, and GPU model — always confirm current published pricing.
Worked example
Suppose you rent 8 GPUs at $2.50 per GPU-hour for 10 hours. Total cost = $$2.50 \times 8 \times 10 = \textbf{\$200}$$ The cost per GPU for that 10-hour window is \(2.50 \times 10 = \$25\), and the equivalent monthly cost of keeping all 8 GPUs running would be \(2.50 \times 8 \times 730 = \$14{,}600\).
FAQ
Does this include storage or data-transfer fees? No. It covers GPU compute only. Storage, networking, and egress are billed separately by most clouds.
Why does the monthly figure use 730 hours? 730 is the average hours per month across a year, the convention cloud providers use for monthly pricing comparisons.
Can I use any currency? Yes — enter the rate in whatever currency your provider bills in; the results are returned in the same unit.
