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Run LLM Locally

RTX 3060 12 GB vs Arc B580 for local LLMs

VRAM decides which models fit entirely on the GPU; bandwidth decides how fast they generate. Here is how the two cards compare.

Which one for local LLMs?

Both cards have 12 GB of VRAM, so the same models fit on both.

The Arc B580 has the higher memory bandwidth (456 GB/s vs 360 GB/s), so it should generate faster when a model fits on both.

RTX 3060 12 GB · Specifications

VRAM
12 GB GDDR6
Bandwidth
360 GB/s
Board power
170 W
Architecture
Ampere
Largest model fully in VRAM
Qwen3 14B

Official specData updated 38 days agoSource: NVIDIA specifications

Arc B580 · Specifications

VRAM
12 GB GDDR6
Bandwidth
456 GB/s
Board power
190 W
Architecture
Xe2 (Battlemage)
Largest model fully in VRAM
Qwen3 14B

Official specData updated 38 days agoSource: Intel specifications

Popular models on each card
ModelRTX 3060 12 GBArc B580 · 12 GB
Qwen3 32BPossible but slow1.8–3.5 tok/sPossible but slow1.7–3.5 tok/s
gpt-oss-20bCPU/GPU offload41–75 tok/sCPU/GPU offload39–75 tok/s
Qwen3 30B-A3BCPU/GPU offload16–31 tok/sCPU/GPU offload17–32 tok/s
Llama 3.1 8B InstructExcellent46–63 tok/sExcellent31–49 tok/s
Qwen3 14BCompatible27–36 tok/sCompatible18–28 tok/s
Qwen3 8BExcellent45–60 tok/sExcellent30–48 tok/s
Llama 3.3 70B InstructNot recommended0.6–1.1 tok/sNot recommended0.6–1.1 tok/s
Gemma 3 27B ITCPU/GPU offload2.5–5 tok/sCPU/GPU offload2.5–5 tok/s

For each model, the highest-precision quantization that runs entirely in fast memory; otherwise the one with the best result. Speeds are ranges; "estimate" unless a benchmark exists for this exact hardware.

EstimateData updated 38 days agoSource: Run LLM Locally engine