RTX 3060 12GB: The unsung hero of local AI with 24GB VRAM and 30 t/s

I_Play_Zed · reddit · 2026-08-28

The author argues that dual RTX 3060 12GB cards offer the best value for local AI inference.

Key Points:

VRAM: Provides nearly 24GB of VRAM with 360 GB/s bandwidth per card and low power usage.
Performance: Achieves around 30 t/s running Qwen 3.8 27B (Q4 quantization on llama.cpp) with over 100k context.
Cost: Costs a third of an RTX 3090, avoiding the hassle of custom cooling mods or long shipping times.
Context: The release of the Qwen 3.6 family (27B/35B) allowed the community to run strong models on consumer hardware, creating a surge of excitement.

For those seeking to replace cloud usage with a robust local coding/inference model, the dual 3060 setup is deemed unmatched in value proposition.

More from Infra