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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
DetailRigBase logo RigBaseLoops logo Loops
What it doesLocal 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
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree Not given
PricingNot given Not given
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
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
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check77 no change since last check
Trust Flow (Majestic)013
Citation Flow (Majestic)2043
Referring domains (Majestic)2550

3 details filled in for both companies.

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