RigBase vs Loops
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
RigBase compared with Loops
| Detail |
RigBase |
Loops |
| What it does | Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
| Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
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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
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| Key features | - 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
| - forward_backward() operation for computing loss and accumulating gradients
- optim_step() for updating the adapter
- sample() for generating from current or saved policy
- save_state() to save and resume training state
- Tinker API compatibility
- Separate trainer and sampler resources
- Synchronous and asynchronous RL patterns
- Frozen base model weights with LoRA adapter updates
- Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
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| What makes it different | - 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
| - Managed training and sampling infrastructure, no setup required
- Tinker-compatible API for easy migration
- Ready-made SFT and RL recipes through Loops cookbook
- Support for vision-language models
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 77 ● no change since last check |
| Trust Flow (Majestic) | 0 | 13 |
| Citation Flow (Majestic) | 20 | 43 |
| Referring domains (Majestic) | 2 | 550 |
3 details filled in for both companies.
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