MetaLlama 3.2 1B Instruct on NVIDIA RTX PRO 6000 Blackwell
Yes — RTX PRO 6000 Blackwell runs Llama 3.2 1B Instruct excellently at Q8_0 — 471 tok/s. 96 GB VRAM with plenty of headroom.
Model Size
1.24B
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 1B 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 | 471 tok/s | 15ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
96 GB GDDR7 fits Q8_0 (1.5 GB) with 95 GB headroom. 1.8 TB/s bandwidth. Near-FP16 quality — minimal quantization loss.
About Llama 3.2 1B Instruct
Llama 3.2 1B Instruct (1.24B) is a chat, coding model. The smallest Llama model. Runs on integrated GPUs and even CPUs. Useful for basic classification, simple Q&A, and as a draft model for speculative decoding. Limited reasoning capability.
View all Llama 3.2 1B 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.