GoogleGemma 3 27B on NVIDIA RTX 4090 Laptop (150-175W)
RTX 4090 Laptop (150-175W) runs Gemma 3 27B at Q3_K_M — 5 tok/s due to limited memory bandwidth. Slow but functional — see all options below.
Model Size
27.23B
Device VRAM
16 GB
Bandwidth
512 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 3 27B on NVIDIA RTX 4090 Laptop (150-175W) at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 5 tok/s | 1412ms | ✓ Yes | Marginal | estimated |
Notes
Q3_K_M
Sustained post-thermal-throttle performance. TDP-capped laptop variant.
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 RTX 4090 Laptop (150-175W)
NVIDIA RTX 4090 Laptop (150-175W) has 16 GB at 512 GB/s. Street price: $0.
See all models NVIDIA RTX 4090 Laptop (150-175W) can run →Estimate method: Community laptop benchmarks and thermal throttle reports. Reference hardware source: reddit.com (2026-03-14)
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.