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Methodology v2.4

How We
Test & Publish

RunAIatHome is written by the RunAIatHome Team. We publish local-AI hardware recommendations only after checking benchmark data, VRAM fit, and real-world buying context.

Editorial process

  1. 1. Collect benchmark and compatibility data from maintained datasets and fresh validations.
  2. 2. Compare real fit thresholds by VRAM, quantization, and offloading behavior.
  3. 3. Write recommendations that privilege the cheapest hardware that still fits the workload.
  4. 4. Add disclosure where monetization exists and keep explanatory context around CTAs.
  5. 5. Rebuild the site and verify static output before shipping.