GpuPerHour

GpuPerHour is a GPU price-comparison tool. It tracks real-time pricing, hardware specs, and stock availability across cloud compute providers, so you can find the cheapest GPU for a given job.

What it tracks

• Live pricing and availability for more than 50 GPU models, including the NVIDIA H100, A100, RTX 4090, RTX 5090, L40S, and V100.
• More than 30 providers: hyperscalers (AWS, GCP, Azure) alongside specialized AI GPU clouds (RunPod, Vast.ai, Lambda Labs, CoreWeave, TensorDock, VERDA, Crusoe, and others).

Filtering

Sort and filter by GPU model, total VRAM, geographic region, and instance type (spot, on-demand, reserved). The tool aggregates pricing so you can compare apples-to-apples hourly rates.

Why this kind of tool matters

The pricing gap on the same GPU is enormous: an NVIDIA H100 SXM5 80GB can range from $0.80/hour on the low end to $11.10/hour on the high end, which is a multi-thousand-dollar monthly difference for the same hardware. A tool that surfaces the gap is genuinely valuable for any team buying compute.

Who it is for

AI researchers, ML engineers, and startup founders buying cloud GPU. Useful for everything from a single RTX 4090 for a weekend project to a cluster of H100s for foundation-model training.