In a May analysis, Startup Fortune examined an r/LocalLLaMA aggregation of the 100 most popular hardware configurations logged on Hugging Face. The data shows local inference concentrated at the 24GB VRAM tier, with dual RTX 4090 setups emerging as the de facto standard for power users running 30B to 70B parameter models.

This matters because the source is deployment logs, not vendor benchmarks. When users publish model results, their hardware is recorded. That makes the Hugging Face data a ground-truth signal on what founders and practitioners are actually running. Single RTX 3090 and 4090 cards handle the accessible end, 7B to 13B models. A smaller server-grade tier, A6000 and A100 configs, covers the largest open models. Apple Silicon appears, concentrated in Mac Studio and MacBook Pro setups with 16GB to 64GB unified memory equivalents, but less prominently than community discourse implies.

For operators building on local inference, the hardware floor is now legible. A 24GB card is the entry point. Dual 4090s at 48GB combined VRAM is the serious build. Watch whether this baseline shifts as sub-24GB inference improves or as next-generation consumer cards reset the tier.