QwenQwen3-8B Instruct on NVIDIA RTX PRO 6000 Blackwell
Yes — RTX PRO 6000 Blackwell runs Qwen3-8B Instruct excellently at Q8_0 — 120 tok/s. 96 GB VRAM with plenty of headroom.
Model Size
8.2B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-8B Instruct on NVIDIA RTX PRO 6000 Blackwell at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 120 tok/s | 40ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
96 GB GDDR7 fits Q8_0 (9 GB) with 87 GB headroom. 1.8 TB/s bandwidth. Near-FP16 quality — minimal quantization loss.
About Qwen3-8B Instruct
Qwen3-8B Instruct (8.2B) is a chat, coding, ai coding, reasoning, multi-purpose model. Qwen 3 dense 8B instruct from Alibaba (~8.2B parameters, ~6.95B non-embedding). Capable chat, coding, and reasoning; 32K default context with 128K max. Apache 2.0.
View all Qwen3-8B 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.