QwenQwen 2.5 72B Instruct on NVIDIA RTX PRO 6000 Blackwell Max-Q
RTX PRO 6000 Blackwell Max-Q runs Qwen 2.5 72B Instruct at Q4_K_M — 24 tok/s. Usable on 96 GB VRAM — see full quantization options below.
Model Size
72.7B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 72B Instruct on NVIDIA RTX PRO 6000 Blackwell Max-Q at Q4_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 24 tok/s | 315ms | ✓ Yes | Acceptable | estimated |
Notes
Q4_K_M
96 GB GDDR7 fits Q4_K_M (40.5 GB) with 56 GB headroom. 1.8 TB/s bandwidth. Moderate quantization. Usable quality.
About Qwen 2.5 72B Instruct
Qwen 2.5 72B Instruct (72.7B) is a chat, coding, ai coding, reasoning, multi-purpose model. Top-tier 72B model, competitive with Llama 3.1 70B. Capable at coding and structured output. Requires 48 GB+ VRAM for usable quantizations.
View all Qwen 2.5 72B Instruct hardware options →About NVIDIA RTX PRO 6000 Blackwell Max-Q
NVIDIA RTX PRO 6000 Blackwell Max-Q has 96 GB at 1800 GB/s. Street price: $7,000.
See all models NVIDIA RTX PRO 6000 Blackwell Max-Q can run →Estimate method: Estimated from full RTX PRO 6000 with ~8% reduction for Max-Q 300W power envelope. 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.