GoogleGemma 2 27B Instruct on NVIDIA RTX PRO 6000 Blackwell
Yes — RTX PRO 6000 Blackwell handles Gemma 2 27B Instruct well at Q5_K_M — 59 tok/s. Solid daily-driver performance on 96 GB VRAM.
Model Size
27.23B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 2 27B Instruct on NVIDIA RTX PRO 6000 Blackwell 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 | 59 tok/s | 120ms | ✓ Yes | Good | estimated |
Notes
Q5_K_M
96 GB GDDR7 fits Q5_K_M (18.5 GB) with 78 GB headroom. 1.8 TB/s bandwidth. High quality quantization with good speed.
About Gemma 2 27B Instruct
Gemma 2 27B Instruct (27.23B) is a chat, coding, reasoning, multi-purpose model. Google's 27B model with effective knowledge distillation. Reasoning and coding at a size that fits on a single 24 GB GPU at Q4. Limited to 8K context.
View all Gemma 2 27B Instruct hardware options →About NVIDIA RTX PRO 6000 Blackwell
NVIDIA RTX PRO 6000 Blackwell has 96 GB at 1800 GB/s. Street price: $7,500.
See all models NVIDIA RTX PRO 6000 Blackwell can run →Estimate method: Estimated from bandwidth ratio vs RTX 4090 (1800/1008 = 1.78x) with conservative margin. Reference hardware source: nvidia.com (2026-03-29)
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.