GPUHour vs Wirkung
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
GPUHour compared with Wirkung
| Detail | 
GPUHour | 
Wirkung |
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| What it does | Live cloud GPU price comparison across marketplaces and providers
| Everything has an algorithm
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Free
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| Pricing | Not given
| Not given
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| Key features | - Live price polling from provider APIs
- Sortable comparison table with 286 prices across 82 GPU models
- Price normalization to per GPU-hour
- Tracks 61 providers
- Spot and on-demand pricing comparison
- Free JSON API
- Android app available
- Real-time timestamp tracking
- Support for consumer and datacenter GPU cards
| - Constant-state attention: models serve any context length from the same memory per request
- HCGM: models run from disk storage instead of memory
- M-Rail: context processed by a model can be reused instantly in future requests
- CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
- Organ grafting: transfer capabilities between models without training
- Personal instruction set (ISA) compiled on device from phone signals
- Population ISA: compile laws from many people without personal records
- Digital twins of customers, fleets, cities or markets
- Results identical across all machines and architectures
- Computation cost follows novelty not data size
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| What makes it different | - Real-time pricing data from provider APIs instead of stale spreadsheets
- Unified table comparing all GPU rental options instead of checking 15+ pricing pages
- Shows actual price spread for same GPU across different clouds
- Transparent about data availability and updates timestamps
- Free API access to price data
| - Constant memory cost regardless of context length or data size
- Exact reuse: every computed result is kept and reused instantly
- Portable execution with bit-identical results across all hardware
- Models run from storage without retraining or fitting in memory
- Privacy-preserving: raw data never leaves the device
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 11 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 2 | 0 |
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| Citation Flow (Majestic) | 19 | 0 |
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| Referring domains (Majestic) | 22 | 0 |
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3 details filled in for both companies.
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