MetaLlama 3.1 70B Instruct on NVIDIA RTX PRO 6000 Blackwell
RTX PRO 6000 Blackwell runs Llama 3.1 70B Instruct at Q5_K_M — 23 tok/s. Usable on 96 GB VRAM — see full quantization options below.
Model Size
70.6B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.1 70B Instruct on NVIDIA RTX PRO 6000 Blackwell at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 23 tok/s | 300ms | ✓ Yes | Acceptable | estimated |
Notes
Q5_K_M
96 GB GDDR7 fits Q5_K_M (47 GB) with 49 GB headroom. 1.8 TB/s bandwidth. High quality quantization with good speed.
About Llama 3.1 70B Instruct
Llama 3.1 70B Instruct (70.6B) is a chat, coding, ai coding, reasoning, multi-purpose model. Frontier-class open model. Approaches GPT-4 quality on many benchmarks. Requires significant VRAM; 48 GB+ recommended for usable quantizations. Well suited for serious local deployment.
View all Llama 3.1 70B 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.