DeepSeekDeepSeek R1 on NVIDIA RTX PRO 6000 Blackwell Max-Q
RTX PRO 6000 Blackwell Max-Q cannot run DeepSeek R1. 96 GB VRAM is insufficient at any quantization level.
Model Size
671B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for DeepSeek R1 on NVIDIA RTX PRO 6000 Blackwell Max-Q at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✗ Offload | Not viable | estimated |
Notes
Q2_K
Q2_K needs 115 GB but device has 96 GB. Requires CPU offloading; throughput degrades significantly.
About DeepSeek R1
DeepSeek R1 (671B) is a reasoning, coding, ai coding, multi-purpose model. DeepSeek's reasoning-focused model. Same MoE architecture as V3 (671B total, ~37B active per token). Excels at chain-of-thought reasoning, math, and complex code. Requires the same massive hardware as V3: multi-GPU or 128GB+ Apple Silicon at heavy quantization. For most home users, the distilled versions (7B, 32B) are more practical.
View all DeepSeek R1 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.