GoogleGemma 3 27B on NVIDIA GeForce RTX 3060 12GB
RTX 3060 12GB cannot run Gemma 3 27B. 12 GB VRAM is insufficient at any quantization level.
Model Size
27.23B
Device VRAM
12 GB
Bandwidth
360 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 3 27B on NVIDIA GeForce RTX 3060 12GB at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q3_K_M
12GB VRAM insufficient. Gemma 3 27B requires at least 13.3GB at Q3_K_M. Would need 16GB+ device or CPU offloading (impractical for speed).
About Gemma 3 27B
Gemma 3 27B (27.23B) is a chat, coding, reasoning, multi-purpose model. Google's largest open-weight model before Gemma 4. Capable reasoning and instruction following. At 27B parameters, it sits between 8B models (too limited) and 70B models (too expensive). Wide multilingual support. Fits on 24 GB GPUs at Q4.
View all Gemma 3 27B hardware options →About NVIDIA GeForce RTX 3060 12GB
NVIDIA GeForce RTX 3060 12GB has 12 GB at 360 GB/s. Street price: $269.
See all models NVIDIA GeForce RTX 3060 12GB can run →Builds with NVIDIA GeForce RTX 3060 12GB
Estimate method: Performance estimates based on model size and device bandwidth. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.