MetaLlama 3.2 11B Vision on NVIDIA RTX PRO 6000 Blackwell Max-Q
Yes — RTX PRO 6000 Blackwell Max-Q runs Llama 3.2 11B Vision excellently at Q8_0 — 82 tok/s. 96 GB VRAM with plenty of headroom.
Model Size
11B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 11B Vision 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 | 82 tok/s | 42ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
96 GB GDDR7 fits Q8_0 (13 GB) with 83 GB headroom. 1.8 TB/s bandwidth. Near-FP16 quality — minimal quantization loss.
About Llama 3.2 11B Vision
Llama 3.2 11B Vision (11B) is a chat, reasoning, multi-purpose model. Meta's first multimodal Llama model. Handles both text and image inputs. At 11B parameters, fits comfortably on 16GB GPUs at Q4. Vision capabilities are useful for image understanding tasks but text quality is comparable to Llama 3.1 8B, not 70B.
View all Llama 3.2 11B Vision 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.