Gpu Per Hour

Anyone who's tried to provision cloud GPUs in the last year knows the hell of it: prices fluctuate by the minute, availability is a moving target, and comparing AWS to RunPod to Lambda is like comparing apples to oranges to a fruit salad. GPU Per Hour said screw that noise and built a real-time tracker for 17,738 cloud GPU offers across 28 providers, updating prices every 60 seconds. That's not a static spreadsheet some intern updated once—it's live data showing actually available instances you can provision right now.

Here's the wild part: the same H100 that costs $1.90/hour on Hyperstack will run you $5+ on AWS or Google Cloud. GPU Per Hour shows prices ranging from $0.01/hour for entry-level GPUs all the way up to $280/hour for multi-GPU clusters with high-end accelerators. That's a 100x spread. They track 87+ GPU models across 7 continents and let you filter by VRAM, pricing type, provider, or region. If you're paying full retail on-demand when you could be grabbing spot instances at 50-80% off, you deserve to lose money.

The platform also handles DeployGPU, a unified console that lets you provision across multiple providers without creating separate accounts everywhere. Because nothing says "I have too much time" like managing logins for 15 different cloud providers when you're just trying to train a model. GPU Per Hour makes the opaque cloud GPU market transparent—at this point, going direct to a provider without checking their prices first is like buying a car without looking at other dealerships.