QwenQwen3-32B Instruct on NVIDIA RTX PRO 6000 Blackwell Max-Q
RTX PRO 6000 Blackwell Max-Q runs Qwen3-32B Instruct at Q8_0 — 29 tok/s. Usable on 96 GB VRAM — see full quantization options below.
Model Size
32B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-32B Instruct on NVIDIA RTX PRO 6000 Blackwell Max-Q at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 29 tok/s | 315ms | ✓ Yes | Acceptable | estimated |
Notes
Q8_0
96 GB GDDR7 fits Q8_0 (34 GB) with 62 GB headroom. 1.8 TB/s bandwidth. Near-FP16 quality — minimal quantization loss.
About Qwen3-32B Instruct
Qwen3-32B Instruct (32B) is a chat, coding, ai coding, reasoning, multi-purpose model. Qwen 3 dense 32B instruct for high-quality local inference where VRAM allows; 32K default and 128K max context. Apache 2.0.
View all Qwen3-32B 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.