GoogleGemma 3 27B on NVIDIA GeForce RTX 5090
Yes — RTX 5090 runs Gemma 3 27B excellently at Q5_K_M — 35 tok/s. 32 GB VRAM with plenty of headroom.
Model Size
27.23B
Device VRAM
32 GB
Bandwidth
1792 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 3 27B on NVIDIA GeForce RTX 5090 at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 35 tok/s | 250ms | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
32GB allows Q5_K_M with 12.7GB headroom. 1792 GB/s bandwidth delivers high throughput.
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 5090
NVIDIA GeForce RTX 5090 has 32 GB at 1792 GB/s. Street price: $2,199.
See all models NVIDIA GeForce RTX 5090 can run →Builds with NVIDIA GeForce RTX 5090
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.