| What it does | The API between AI agents and silicon
| Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
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| Stage | Not given
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| Founded | 2023
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| Based in | DE
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| Pricing model | Freemium
| Free
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| Pricing | Free tier: 1,000 credits per day, resets every 24 hours. Pay-as-you-do: €10 per 1,000 credits. Enterprise: Custom pricing with volume commit, on-prem, and SLAs.
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| Key features | - Compile firmware against production toolchains remotely without installation
- Execute firmware on virtual chip instances with verdict, trace, and register state
- Unit and integration testing on virtual hardware with coverage reports
- Inject synthetic sensor data into running firmware
- Query collective embedded corpus for chip-specific solutions
- Support for Rust, C, and multiple RTOS frameworks
| - 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 | - Virtual instances of actual target chips, not generic CPU emulation, with same binary, peripherals, and interrupt timing as physical boards
- Shared corpus that deepens with every call, allowing agents to inherit knowledge from previous runs
- Eliminates need for physical hardware for testing, porting, and debugging
- Single MCP endpoint exposes cross-compilation, peripheral simulation, sensor IO, and chip-specific plumbing
- Access to licensed toolchains on demand without local installation
| - 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 |
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| DR (Domain Rating by Ahrefs) | 29 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 27 | 20 |
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| Referring domains (Majestic) | 117 | 2 |
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Chiplab
RigBase