# GPU Job Cost Calculator: Compute, Storage, Egress

> Estimate what a GPU job costs on each cloud: GPU hours, billing minimums, 8-GPU node rules, storage, idle volumes and egress. Uses dated official prices.

- Canonical URL: https://computesuppliers.com/gpu-cost-calculator/
- Source: [Providers' own pricing pages, read 26 October 2026](https://www.digitalocean.com/pricing/gpu-droplets)
- Checked: 2026-10-26

This page includes a free interactive tool that runs in the browser and sends no data. The figures and rules it uses are the ones stated on this page, with their sources.

## What the calculator adds that price lists don't

- **Billing step.** Vultr and Together AI bill by the hour, so a 20-minute job costs a full hour. DigitalOcean bills per second with a 5-minute minimum, and keeps billing a stopped Droplet ([DigitalOcean](https://www.digitalocean.com/pricing/gpu-droplets)).
- **Whole nodes.** CoreWeave's H100, H200 and B200 instances and Azure's ND H100 v5 are 8-GPU machines. Ask for one GPU and the calculator bills eight.
- **Storage while idle.** RunPod charges $0.10 per GB-month for a volume on a running Pod and $0.20 when it's stopped ([RunPod](https://www.runpod.io/pricing)). Jarvislabs charges storage while an instance is paused.
- **Egress.** Hyperstack, CoreWeave and Lambda don't charge for egress. Modal charges $0.04 per GiB after the first TiB a month ([Modal](https://modal.com/pricing)).

## How to use the result

The cheapest row is a starting point. Before you commit, check the provider still has capacity in the region you need, and whether your framework needs CPU and RAM that's billed separately (Modal, TensorDock).

When a fee isn't published, the table says "not stated" rather than guessing. That row's total covers only what's known.

## Example

Ten hours on one H100 with 200 GB kept for a week and 50 GB downloaded: on-demand compute ranges from about $25 (Hyperstack PCIe) to about $40 (several clouds at $3.99), while a provider that only rents 8-GPU nodes bills eight GPUs. Change the inputs above to see your own numbers.

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