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GPU Per Hour

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Frustrating problem: cloud GPU price fragmentation makes it hard to find true hourly costs across providers before you commit.

Stop Wasting Time on Price Guesswork

With GPU Per Hour, you get real-time pricing and current availability for 10,000+ GPUs across 25+ providers, plus a cost calculator to estimate true hourly spend.

The Aha Moment

Instantly identify the cheapest GPUs by model, VRAM, region, and NVLink, then deploy with one click to the provider site, saving time and money.

Designed for AI researchers, developers, and data scientists, GPU Per Hour delivers transparent data, faster decisions, and lower compute costs.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

How GPU Per Hour Works In 3 Steps?

  1. 1. Open GPU Per Hour

    View live GPU prices across 25+ providers to start cost-aware selections.
  2. 2. Filter GPUs

    Filter by VRAM, model, region to quickly find suitable GPUs.
  3. 3. Deploy & Compare

    Click Deploy to compare providers and launch the best-priced GPU.

Customer Reviews for GPU Per Hour

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 5.0/5 2 reviews 100% recommend — Monthly growth
6-month timeline
Most helpful
Olivia Brown
Olivia Brown 0

I’m Mia, a PhD student racing a tight grant. I needed to price ML runs across thousands of GPUs and pick options by true cost, not hype. The real-time pricing and head-to-head provider comparisons let me shortlist in minutes, and the cost calculator anchored our monthly budget. Advanced filters by region and VRAM helped me match A100 vs RTX 4090 precisely. The only hitch is a slight delay in live availability, which sometimes shows stock that’s already gone.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

5.0/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Olivia Brown

Olivia Brown

5.0
Recommends

Real-time GPU pricing fuels my budgeted research sprint

Used for week to month

What I liked

  • Real-time pricing across 10k GPUs enables fast, data-driven budgeting.
  • Clear head-to-head comparisons show price-to-performance side-by-side.
  • Cost calculator provides a realistic monthly spend estimate.
  • Advanced filters let me zero in on region, VRAM, and NVLink specs.

What could be better

  • Live availability can lag, causing brief mismatches.
  • UI is dense; takes a moment to set up complex filters.
  • No per-project pricing tier for short-term needs.

I’m Mia, a PhD student racing a tight grant. I needed to price ML runs across thousands of GPUs and pick options by true cost, not hype. The real-time pricing and head-to-head provider comparisons let me shortlist in minutes, and the cost calculator anchored our monthly budget. Advanced filters by region and VRAM helped me match A100 vs RTX 4090 precisely. The only hitch is a slight delay in live availability, which sometimes shows stock that’s already gone.

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User avatar for Amelia Moore

Amelia Moore

5.0
Recommends

RTX 4090 stock at a glance with quick provider redirects

Used for 1-3 months

What I liked

  • Live availability and deployment options let me lock GPUs quickly.
  • Side-by-side provider comparisons cut hours of manual research.
  • Cost calculator yields immediate monthly forecasts.
  • Redirects to provider pages keep results aligned with each vendor's checkout.

What could be better

  • Redirect flow disrupts my workflow; in-app checkout would be nicer.
  • Coverage isn't universal; some providers and regions are missing.
  • No API hook to auto-refresh data into our budgeting tool.

I'm Omar, a freelance ML engineer at a small startup scrambling for speed. We need RTX 4090 stock to land a ML sprint and I also compare AWS vs RunPod on price. GPU Per Hour's live availability and deployment links let me see what's in stock now and jump straight to the provider pages. The side-by-side comparisons shaved hours from my research, and the cost calculator gives a quick monthly forecast. The flow is not perfect—redirecting to provider sites interrupts my workflow, and not every provider is represented.

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Direct Comparison

See how GPU Per Hour compares to its alternative:

GPU Per Hour VS Vast.ai

GPU Per Hour: Features, Advantages & FAQs

Explore everything you need to know about GPU Per Hour

Core Features
  • Real-time pricing: Track 10,000+ GPUs across 25+ providers
  • Head-to-head comparisons: Easily compare providers
  • Advanced filters: Narrow results by GPU model, VRAM, NVLink, region
  • Cost calculator: Estimate true hourly expenses
  • Enterprise & consumer coverage: H100/A100 and RTX 4090/3090
  • Live availability: See current stock and deployment options
  • Easy deployment: Redirect to provider pages
Advantages
  • Real-time price tracking across 25+ providers
  • Cost savings from head-to-head comparisons
  • Filter by GPU model, VRAM, region
  • Instant deployment redirects to provider pages
  • Covers enterprise and consumer GPUs
  • Transparent cost calculator
Use Cases
  • Finding the lowest hourly rate for high-end GPUs
  • Comparing AWS vs specialized providers like RunPod
  • Locating RTX 4090 stock for ML workloads
  • Planning cost-efficient ML experiments with per-hour budgeting
  • Benchmarking GPU options for rendering and training
  • Estimating total compute costs with the cost calculator

Frequently Asked Questions

What is GPU Per Hour?

A real-time GPU pricing and availability aggregator across 25+ providers for AI/ML workloads.

How many GPUs/providers are covered?

Over 10,000 GPUs across 25+ cloud providers are tracked.

Is there a free plan or trial?

Yes, a freemium plan with core features is available; a premium trial may apply.

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