Tensordyne vs RigBase
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 RigBase
| Detail |
Tensordyne |
RigBase |
| What it does | Next-generation AI inference systems for speed and efficiency
| Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
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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
| Free
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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
| - 172 real home AI builds with measured performance data
- Performance metrics for 31 current LLM models
- Search by GPU, VRAM, budget and target model
- VRAM and KV cache calculator
- All results linked to original public sources
- Comparison guides and hardware recommendations
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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
| - Real measured performance data from 172 actual home AI rigs, not marketing claims
- Every benchmark result linked to its original public source for verification
- Open data under Creative Commons license
- Practical guides for choosing AI hardware by budget and model
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 42 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 18 | 0 |
| Citation Flow (Majestic) | 36 | 20 |
| Referring domains (Majestic) | 377 | 2 |
3 details filled in for both companies.
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