GpuPerHour

Real-time price comparison tool for renting cloud GPUs from various providers.

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gpuperhour.com
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Quick facts
What is it Real-time price comparison tool for renting cloud GPUs from various providers.
Pricing Unknown
Platform Web Application
Best for Finding the cheapest available GPU for a training job, Quickly deploying a temporary GPU instance for model inference
Domain registered 2025

Data updated Aug. 1, 2026

What does GpuPerHour do?

GpuPerHour is a search engine and comparison tool for cloud GPU rentals. It aggregates and displays live pricing, availability, and specifications for GPUs from multiple providers like Vast.ai, Hyperstack, and VERDA. You can see the cost per GPU per hour, the total number of available units, and filter results by GPU model, VRAM, and region. The tool lists detailed host specs such as vCPUs, system RAM, and storage for each offering, and provides a direct 'Deploy' button to rent the chosen configuration.

What sets GpuPerHour apart is its real-time data, which updates frequently (as noted on the page) to reflect current market prices and availability. A standout feature is its integrated cost calculator, which helps you estimate the true total cost of a workload by factoring in storage, data transfer (egress/ingress), and monthly usage hours. This moves beyond just the base GPU price for a more accurate budget forecast.

This tool is incredibly useful for AI researchers, machine learning engineers, and developers who need GPU power for training models or running complex computations but want to find the most cost-effective option quickly. It saves the significant time it would take to manually check each cloud provider's website, making it ideal for students, indie developers, and small teams managing tight compute budgets.

#ai infrastructure#cloud computing#developer tools#gpu rental#price comparison

Key features

What makes it stand out
01
Real-time pricing and availability from multiple cloud GPU providers
02
Integrated cost calculator for estimating total workload expenses
03
Filter and sort results by GPU model, VRAM, and region
04
Direct deployment links to provider platforms
05
Displays detailed host specifications (vCPU, RAM, storage) for each offer

Who is GpuPerHour for?

Who benefits most from this tool
Finding the cheapest available GPU for a training job
Quickly deploying a temporary GPU instance for model inference
Budgeting and cost estimation for cloud AI projects

Trust & presence

Domain Domain registered 2025

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