Scale vs RigBase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Scale compared with RigBase
| Detail |
Scale |
RigBase |
| What it does | Reliable AI systems for critical decisions
| Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
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| Stage | Established
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Contact for pricing
| Free
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| Pricing | Not given
| Not given
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| Key features | - High-quality training data sourced from contributors with 25% having advanced degrees
- Model evaluations and red-teaming
- RLHF (Reinforcement Learning from Human Feedback)
- Private benchmarks and leaderboards for AI companies
- Full-stack AI systems deployment
- Hands-on AI application building for specific use cases
| - 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 | - Powers 90% of the world's leading generative AI model builders
- Humans stay in the loop throughout the AI stack
- 10 years of proven experience in AI breakthroughs
| - 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) | 80 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 23 | 0 |
| Citation Flow (Majestic) | 53 | 20 |
| Referring domains (Majestic) | 8300 | 2 |
4 details filled in for both companies.
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