# GPUPerHour

According to OpenAITools.app telemetry verified on 2026-11-11, GPUPerHour (gpuperhour.com) is an AI platform indexed under AI Developer Tools generating 28.72K monthly visits with a month-over-month traffic delta of +5.8K (+25.3%). Its primary geographic market is United States (24.9% traffic share), and it operates on a Free pricing model. Top competing alternatives by monthly volume include InfraBase.ai (39.07K visits/mo), Models.dev (200.45K visits/mo), mcp.so (286.7K visits/mo).

Live cloud GPU price comparison across 31 providers

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | GPUPerHour |
| Handle | gpuperhour |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | gpuperhour.com |
| Website URL | https://gpuperhour.com |
| Categories | AI Developer Tools, AI Tools Directory |
| Pricing Model | Free |
| Monthly Visits | 28,718 |
| MoM Traffic Change | 5,803 |
| MoM Growth Rate | +25.3% |
| Primary Market | United States |
| Market Share | 24.9% |
| Direct Visits | 11,398 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 2,876 |
| Email Visits | 789 |
| Review Score | 4.4 |
| Saved Count | 4 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website |
| Tags | GPU cloud pricing, Cloud GPU comparison, NVIDIA H100 pricing, RTX 4090 rental, ML GPU rental, Cloud compute aggregator, AI infrastructure |

## Overview

GPUPerHour solves a narrow but expensive problem: cloud GPU pricing is scattered across dozens of provider dashboards, in different units and with different availability. The site periodically scrapes the public pricing and inventory endpoints of 31 cloud GPU providers, normalises each listing to a price per GPU per hour (dividing a multi-GPU instance price by its GPU count) and tags it with its pricing type and security tier. The current-price summary deliberately uses only secure on-demand offers observed within roughly 15 minutes of the last refresh, excluding spot, reserved and peer-to-peer marketplace listings because those prices are not directly comparable.

The result is a single live table covering H100 SXM5 and PCIe, H200, B200, B300, A100 80GB and 40GB, L40S, RTX PRO 6000, RTX 5090, RTX 4090 and RTX A6000, alongside the provider, a 30-day historical catalog average and the number of providers with stock. A daily price index with CSV downloads lets you track how pricing moves over time, while buying guides and hardware explainers cover practical topics such as comparing like-for-like GPUs, choosing by VRAM for a workload, accounting for storage and egress, and renting by the hour. The site also points to a companion console, DeployGPU, for provisioning on supported providers from one place.

The key caveat is stated openly on the page: offer counts describe configurations, not the number of physical GPUs bookable, and availability can change before you complete a booking. Prices are per GPU-hour but providers bill for the whole instance, and storage, network transfer and commitment terms affect the final bill. GPUPerHour is a research and comparison layer, not a hosting provider itself.

## Pricing & Plans

Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers.

## Key Features & Capabilities

- **31-provider live price table:** Every tracked offer is normalised to a price per GPU-hour and shown with its provider, pricing type and security tier.
- **Cheapest-offer summary:** A market snapshot highlights the lowest current secure on-demand price for each popular GPU model, from H100 and H200 to RTX 4090.
- **Daily price index and CSV:** Historical catalog averages and downloadable daily data let you see how pricing for a given GPU has moved over the last 30 days.
- **Buying guides and explainers:** Practical articles cover comparing like-for-like GPUs, choosing by VRAM, estimating the full bill with storage and egress, and renting by the hour.
- **DeployGPU console:** A linked console lets you deploy on supported providers from a single place once you have picked an offer.

## Primary Use Cases

- **Pick the cheapest GPU for training (ML engineer):** Compare per-GPU-hour rates for H100, H200 and A100 across providers with live stock before provisioning a training run.
- **Budget inference and fine-tuning (Startup CTO):** Use the price index and historical averages to estimate monthly compute cost and choose between providers or commitment types.
- **Find capacity for a specific workload (AI researcher):** Match the VRAM and precision your model needs, then check which providers currently have that model in stock.
- **Track the GPU rental market (Infrastructure analyst):** Download the daily CSV and follow hardware explainers to understand how pricing and new accelerators evolve over time.

## Strengths

- Aggregates 31 providers into comparable per-GPU-hour prices
- Clearly states its methodology and excludes non-comparable spot and P2P listings
- Free to use, with daily historical data and CSV downloads
- Buying guides cover the full bill, not just the headline rate

## Limitations

- Only covers providers whose pricing and inventory endpoints are publicly scrapable
- The current-price view deliberately excludes spot and reserved capacity, which are often cheaper
- It is a comparison resource, so you still create accounts and provision instances with the provider itself

## Frequently Asked Questions

### Does GPUPerHour host or rent out GPUs itself?
No. It is a comparison and research layer that aggregates public pricing from other providers. When you book, you create an account with the provider directly, or use the linked DeployGPU console for supported providers.

### How is the per-GPU-hour price calculated?
Each listing is normalised by dividing the price of a multi-GPU instance by its GPU count. Note that a provider still bills for the whole instance, so an eight-GPU instance at $24 per hour is $3 per GPU-hour but a $24 hourly charge.

### Why is a cheaper spot price not shown as the lowest?
The current-price summary includes only secure on-demand offers, because spot, reserved and peer-to-peer prices carry different interruption risk and commitment terms and are not directly comparable.

### How fresh is the data?
The summary refreshes at most every five minutes and only counts offers with live stock tracking observed within about 15 minutes of the last refresh; the page displays the latest stock observation timestamp and notes that availability can change before booking.

### What is GPUPerHour's monthly traffic and growth trend?
GPUPerHour currently receives 28.72K monthly visits, with a month-over-month traffic change of +5.8K (+25.3% growth rate). Its primary source market is United States (24.9% share), including 11.4K direct visits/mo and — organic search visits/mo.

### Is GPUPerHour free? What is its pricing model?
GPUPerHour operates on a Free pricing model. Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers. Supported billing and checkout platforms include: not listed.

### What are the best GPUPerHour alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to GPUPerHour are: 1. InfraBase.ai (39.07K visits/mo); 2. Models.dev (200.45K visits/mo); 3. mcp.so (286.7K visits/mo); 4. ToolDirectory.AI (30.12K visits/mo); 5. Stork (201.54K visits/mo).

### Which platforms and core AI capabilities does GPUPerHour support?
GPUPerHour is classified under AI Developer Tools, AI Tools Directory, supports the following platforms: Website, and its core capability tags include: GPU cloud pricing, Cloud GPU comparison, NVIDIA H100 pricing, RTX 4090 rental, ML GPU rental, Cloud compute aggregator.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | Free | [Compare](https://openaitools.app/compare/gpuperhour-vs-infrabase-ai) |
| [Models.dev](https://openaitools.app/tool/models-dev) | 200,451 | Free | [Compare](https://openaitools.app/compare/gpuperhour-vs-models-dev) |
| [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | Free | [Compare](https://openaitools.app/compare/gpuperhour-vs-mcp-server) |
| [ToolDirectory.AI](https://openaitools.app/tool/tooldirectory-ai) | 30,123 | Freemium | [Compare](https://openaitools.app/compare/gpuperhour-vs-tooldirectory-ai) |
| [Stork](https://openaitools.app/tool/stork) | 201,544 | Free | [Compare](https://openaitools.app/compare/gpuperhour-vs-stork) |
| [Countless.dev](https://openaitools.app/tool/countless-dev) | 787 | Free | [Compare](https://openaitools.app/compare/countless-dev-vs-gpuperhour) |
| [AI Top100 (AITOP100)](https://openaitools.app/tool/ai-top100) | 51,606 | Free | [Compare](https://openaitools.app/compare/ai-top100-vs-gpuperhour) |
| [FindyourAI](https://openaitools.app/tool/findyourai) | 10,982 | Free | [Compare](https://openaitools.app/compare/findyourai-vs-gpuperhour) |
| [LLM Price Check](https://openaitools.app/tool/llm-price-check) | 8,255 | Free | [Compare](https://openaitools.app/compare/gpuperhour-vs-llm-price-check) |
| [AI Listify](https://openaitools.app/tool/ai-listify) | 8,328 | Free | [Compare](https://openaitools.app/compare/ai-listify-vs-gpuperhour) |
| [Easy With AI](https://openaitools.app/tool/easywithai-com) | 119,734 | Freemium, Free Trial, Free | [Compare](https://openaitools.app/compare/easywithai-com-vs-gpuperhour) |
| [ToolCenter](https://openaitools.app/tool/toolcenter) | 66,647 | Free | [Compare](https://openaitools.app/compare/gpuperhour-vs-toolcenter) |

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Source: https://openaitools.app/tool/gpuperhour