NVIDIA RTX 3060 12GB

The RTX 3060 12GB has become a legend in the local AI community - it's the cheapest GPU with 12 GB of VRAM, often available used for under $200. While its 360 GB/s bandwidth is slow by modern standards, the 12 GB capacity lets it punch way above its weight class, running models that would OOM on faster 8 GB cards.

Quick verdict

The RTX 3060 12GB is the best entry-level local AI GPU in 2026. For ~$200 used, you get 12 GB VRAM that can run Mistral Small 3 at Q4_K_M and Gemma 3 12B comfortably. Generation speed is only ~15 tok/s, but it's unbeatable for the price.

Spec breakdown

• VRAM: 12 GB GDDR6
• Memory bandwidth: 360 GB/s (15 Gbps)
• TDP: 170 W (recommend 550W+ PSU)
• PCIe: 4.0 ×16
• Architecture: Ampere GA106-300
• CUDA cores: 3,584
• Tensor cores: 112 (3rd gen)

Real-world AI inference

Model	Tokens/sec	Source
Llama 3.1 8B Q4_K_M	~35 tok/s	Community
Gemma 3 12B Q4_K_M	~22 tok/s	Community
Mistral Small 3 Q4_K_M	~15 tok/s	Community
Qwen3-30B Q3_K_M	~5 tok/s	Offload needed
ComfyUI SDXL (1024×1024)	~25 s/image	Community

Best models that fit

• Q4_K_M: Gemma 3 12B - comfortable with context
• Q4_K_M: Mistral Small 3 - fits with 32k context
• Q5_K_M: Llama 3.1 8B - excellent quality
• Q8_0: 3-7B models - very precise

Cost vs cloud

At ~$200, this pays back faster than any other GPU. $50/month API users break even in 4 months. If you're new to local AI, start here.

Where to buy

• eBay used: ~$180-220
• Amazon used: ~$200-250 (button above)

Honest alternatives

• Intel Arc B580 (~$250): 12 GB, faster bandwidth, similar capability
• Used RTX 2080 Ti (~$300): 11 GB, faster but older
• Used RTX 3070 (~$275): Faster 7B inference, but only 8 GB

What the community says

"Got my 3060 12GB for $180 on eBay. Best money I ever spent. Runs Mistral Small 3 at 15 tok/s with 32k context. Perfect for learning local AI without breaking the bank."

• u/budget-ai-pioneer on r/LocalLLaMA, 312 upvotes