Tensordyne vs Computable
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Tensordyne compared with Computable
| Detail | 
Tensordyne | 
Computable |
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| What it does | Next-generation AI inference systems for speed and efficiency
| Open-source price index for GPU compute updated every 15 minutes
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| Stage | Startup
| Not given
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| Founded | 2019
| Not given
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| Based in | US
| Not given
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| Pricing model | Not given
| Not given
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| Pricing | Not given
| Not given
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| Key features | - Logarithmic math architecture for reduced computation
- Multi-trillion parameter mixture of experts support
- Real-time 4K video generation at 30FPS
- Air-cooled design eliminating liquid cooling needs
- Scale-up interconnect for linear model scaling
- 608 PFLOPS of dense compute per rack
- PyTorch, Triton, and vLLM software support
- 16-bit precision for reduced hallucinations
| - Open-source repository with collector and calculation code
- MCP interface for autonomous agents, anonymous and read-only
- Covers H100, H200, B200, and B300 GPU models
- Fully transparent methodology with published parameters
- Verifiable and reproducible calculations from public record
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| What makes it different | - Energy efficiency through proprietary logarithmic mathematics
- Fastest inference performance available at lowest cost
- Full-stack co-design from math to silicon to systems
- Air-cooled form factor fitting standard datacenters
- Proven silicon with customer validation
| - First open-source price index for GPU compute with fully transparent methodology
- Data, method, and code are all public and verifiable
- Resistant to manipulation and outliers through interquantile mean voting
- Fault-tolerant design that maintains integrity when sources fail or vanish
- Updated every 15 minutes with real-time data from published on-demand rates
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 42 ● no change since last check | 16 ● no change since last check |
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| Trust Flow (Majestic) | 18 | 8 |
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| Citation Flow (Majestic) | 36 | 32 |
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| Referring domains (Majestic) | 377 | 274 |
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3 details filled in for both companies.
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