Hardware Detail GPUUsed market

NVIDIA RTX 3060 12GB

NVIDIA RTX 3060 12GB profile for local AI model planning.

NVIDIANVIDIA RTX 302021-0212GB VRAM
AI Memory
12GB VRAM
Runtime headroom is estimated.
LLM Score
32
mainstream
Power
140W
Average AI load
Value Score
8.2
Planner signal

Task Fit

Vision88

Strong fit for vision workloads in the current planner.

Image generation88

Strong fit for image generation workloads in the current planner.

Chat78

Usable for chat, with tradeoffs around speed, memory, or runtime maturity.

Code76

Usable for code, with tradeoffs around speed, memory, or runtime maturity.

RAG76

Usable for rag, with tradeoffs around speed, memory, or runtime maturity.

Agent73

Usable for agent, with tradeoffs around speed, memory, or runtime maturity.

Video generation73

Usable for video generation, with tradeoffs around speed, memory, or runtime maturity.

Embedding61

Usable for embedding, with tradeoffs around speed, memory, or runtime maturity.

Voice57

Not a primary fit for voice in the current hardware pool.

Runtime Support

ollamaExcellent
llama.cppExcellent
LM StudioExcellent
vllmExcellent
sglanggood
ComfyUIExcellent
diffusersExcellent

Specs

CPU cores—
GPU cores—
System RAM—
Unified memory—
VRAM12GB
Usable model memory12GB
CUDASupported
MetalNo
ROCmNo

Cost and Ops

Hardware price$279
Build cost$800
UPS / accessories$200
5-year estimate$1,570
Expected lifespan6 years
Residual value18%
Build requiredYes

Models This Hardware Can Run

Estimated from default model artifacts, VRAM, unified memory, and recommended RAM.

30 compatible defaults
Phi-4 14B
Compatible

Microsoft · Q4_K_M

24GB recommended
MiniMax M2.7
Compatible

MiniMax · FP8

32GB recommended
Gemma 4 12B It QAT W4a16 Ct
Compatible

Google · Q4_0

16GB recommended
Gemma 4 E4B It QAT Q4 0 GGUF
Compatible

Google · Q4_0

12GB recommended
FLUX.2 Klein 4B
Compatible

Black Forest Labs · FP16

40GB recommended
Wan2.2 TI2V 5B
Compatible

Alibaba · FP16

40GB recommended
LTX 2.3 FP8
Compatible

Lightricks · FP8

40GB recommended
Qwen3-Coder 30B-A3B
Compatible

Alibaba · Q4_K_M

48GB recommended
MiniMax M2.5
Compatible

MiniMax · FP8

32GB recommended

Best For

budget CUDAsmall coding modelsSDXL entry

NVIDIA RTX 3060 12GB profile for local AI model planning.

Source Confidence

Specsreviewed
PriceEstimated
PowerEstimated
PerformanceEstimated
Updated2026-06-18

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