Can 2x RTX 3060 12GB run Qwen3.8 27B?

Last updated: 7 Nov 2026

Partly: part of the model runs from system RAM (CPU offload, per the source). Measured 18.1 tok/s generation with part of the model offloaded to system RAM (llama.cpp (CUDA, 2 GPUs), Q4_K_M (GGUF); source).

Every measured result for Qwen3.8 27B on 2x RTX 3060 12GB

Build	Quant / setup	Engine	tok/s
2x RTX 3060 12GB (24 GB): Qwen3.8 27B Q4_K_M at 18.1 tok/s, ~950 tok/s prefill on a 9.5K prompt (llama.cpp CUDA)	Q4_K_M (GGUF)	llama.cpp (CUDA, 2 GPUs)	18.1 CPU offload	source

Memory: 2x RTX 3060 12GB has 24 GB. Qwen3.8 27B weights are about 16.5 GB at Q4_K_M (27B params × 4.89 bits ÷ 8, before context/KV cache). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.

Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.

All measured speeds for Qwen3.8 27B: best home rig for Qwen3.8 27B.

Qwen3.8 27B on other hardware: 2x Apple M5 Ultra · 2x DGX Spark (GB10) · 2x Intel Arc Pro B70 · 2x RTX 3090 · 2x RTX 5070 Ti · 2x Tesla V100 32GB · 4x Apple M5 Ultra · Apple M2 Ultra · Apple M3 Ultra · Apple M5 Ultra · DGX Spark (GB10) · Intel Arc Pro B70 · RTX 3060 12GB · RTX 3090 · RTX 4060 Ti 16GB · RTX 4090 · RTX 5060 Ti 16GB · RTX 5070 Ti · RTX 5090 · RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W) · RTX Spark N1X · Radeon AI Pro R9700 · Strix Halo (Radeon 8060S)

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