QwenQwen3-8B Instruct on NVIDIA Grace Blackwell Ultra GB300
Yes — Grace Blackwell Ultra GB300 runs Qwen3-8B Instruct excellently at Q8_0 — 340 tok/s. 288 GB VRAM with plenty of headroom.
Model Size
8.2B
Device VRAM
288 GB
Bandwidth
8000 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-8B Instruct on NVIDIA Grace Blackwell Ultra GB300 at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 340 tok/s | 32ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
Full quality, 279GB headroom.
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 Grace Blackwell Ultra GB300
NVIDIA Grace Blackwell Ultra GB300 has 288 GB at 8000 GB/s. Street price: $30,000.
See all models NVIDIA Grace Blackwell Ultra GB300 can run →Estimate method: Estimated from GB300 bandwidth ratio vs RTX 4090. Reference hardware source: dell.com (2026-03-23)
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.