GpuPerHour
Real-time aggregator comparing cloud GPU prices across 25+ providers for AI and ML workloads.
Verdict
A quick read before you dig into the full page.
- Best if
- You are machine learning engineers and need: Finding the lowest hourly rate for an NVIDIA H100 SXM instance
- Pick this when
- Real-time aggregator comparing cloud GPU prices across 25+ providers for AI and ML workloads
Overview
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.
Best for
Short scenarios where GpuPerHour tends to shine.
-
Finding the lowest hourly rate for an NVIDIA H100 SXM instance
Best for Machine learning engineers
-
Comparing the cost and features of AWS versus specialized providers like RunPod
Best for Data scientists
-
Locating available RTX 4090 stock for distributed machine learning training
Best for AI researchers
Example outputs 1
Sample generations and before/after results for GpuPerHour.
Access & connections
Where you can use GpuPerHour.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- 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
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