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
- New inference engine 'e' hits 10,500 tok/s on a single DGX Station — brandon_galang · 2026-10-16
- SGLang ships Day-0 support for FLUX 3 Image Klein: 10 reference images, BF16/FP8/NVFP4 variants — ying11231 · 2026-10-16
- NVIDIA's Nemotron 3.5 Super VL hits CoreWeave: 12B-active multimodal MoE at $0.25/M input tokens — wandb · 2026-10-16
- Chip equipment beats bull case: 2026 WFE seen at $153B, $278B by 2030 — BenBajarin · 2026-10-16
- Steam now launches in 5.23s, beating Epic's 5.47s — and vLLM gets roasted for slow startup — AlpinDale · 2026-10-16
- Shadeform to Announce Six New Features on Oct 19: Lower GPU Costs, More Suppliers — _jaydeepkarale · 2026-10-16