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GpuPerHour

Paid
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Type
Saas
Company
GPU Per Hour
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About GpuPerHour

GPU Per Hour is a real-time cloud GPU pricing aggregator and comparison platform designed for AI researchers, developers, and data scientists. It tracks over 10,000 GPUs across 25+ cloud providers, including AWS, Lambda Labs, RunPod, and Vast.ai. The platform allows users to compare hourly rates for high-performance hardware like the NVIDIA H100, A100, and RTX 4090. It features advanced filtering options for VRAM, NVLink, security tiers, and deployment types, alongside a cost calculator and head-to-head provider comparisons to help users find the most cost-effective compute resources for machine learning and rendering tasks.

How to Use

Visit the homepage to see a live list of available GPU instances. Use the sidebar filters to select specific GPU models, VRAM requirements, or regions. Sort the results by 'price per GPU' to find the cheapest deals. Once you find a suitable instance, click 'Deploy' to be redirected to the provider's website to start your instance.

GPU Per Hour's

Key Features

  • Real-time pricing and availability tracking for 10,000+ GPUs
  • Head-to-head comparisons between 25+ cloud providers
  • Advanced filtering by GPU model, VRAM, NVLink, and security tier
  • Cost calculator to estimate true hourly expenses
  • Coverage of both enterprise (H100/A100) and consumer (RTX 4090/3090) GPUs

Use Cases

  • Finding the lowest hourly rate for an NVIDIA H100 SXM instance
  • Comparing the cost and features of AWS versus specialized providers like RunPod
  • Locating available RTX 4090 stock for distributed machine learning training

Key Features

Real-time pricing and availability tracking for 10,000+ GPUs
Head-to-head comparisons between 25+ cloud providers
Advanced filtering by GPU model, VRAM, NVLink, and security tier
Cost calculator to estimate true hourly expenses
Coverage of both enterprise (H100/A100) and consumer (RTX 4090/3090) GPUs

Pros & Cons

Pros
  • Comprehensive coverage of 10,000+ GPUs from 25+ providers
  • Real-time pricing updates for accurate decision-making
  • Advanced filtering reduces search time significantly
  • Cost calculator simplifies budgeting for projects
  • Head-to-head comparisons highlight best value options
  • Tailored for AI/ML professionals with relevant hardware focus
Cons
  • Pricing model requires contacting for details, lacks transparency
  • No direct booking or integration with providers
  • Relies on external provider data accuracy
  • Limited to GPU-focused comparisons, not full cloud services
  • May not cover all niche or emerging providers

Best For

Finding the lowest hourly rate for an NVIDIA H100 SXM instanceComparing the cost and features of AWS versus specialized providers like RunPodLocating available RTX 4090 stock for distributed machine learning training

Alternatives to GpuPerHour

FAQ

What cloud providers does GPU Per Hour track?
It tracks over 25 providers including AWS, Lambda Labs, RunPod, and Vast.ai.
Which GPUs can I compare on the platform?
High-performance models like NVIDIA H100, A100, and RTX 4090, among over 10,000 GPUs.
Are there filtering options available?
Yes, filters for VRAM, NVLink, security tiers, and deployment types.
Does it have a cost calculator?
Yes, a built-in cost calculator for estimating hourly and project expenses.
Is pricing data real-time?
Yes, it provides real-time cloud GPU pricing aggregation.
What is the pricing model for GPU Per Hour?
Contact for pricing details; it is a SaaS tool.