A Reddit user collected data from over 200 LocalLLM community members and found that similarly specced AI inference rigs produce drastically different token-per-second performance — ranging from 15 tok/s to 50+ tok/s on comparable hardware. The analysis suggests that configuration choices around model selection, quantization, and context handling significantly impact throughput, leaving substantial performance on the table for many setups.