What can NVIDIA RTX PRO 6000 Blackwell run for reasoning?
Build: RTX PRO 6000 Blackwell + Threadripper PRO + 128GB
Runs comfortably200 models
Ranked by fit for reasoning use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q8_0Context: 8,192VRAM: 13.8 GBHeadroom: 82.2 GBollama run deepseek-r1:7b157tok/sEstimated
ollama run deepseek-r1:7bQuant: Q4_K_MContext: 8,192VRAM: 17.6 GBHeadroom: 78.4 GBollama run phi4-reasoning:14b138tok/sEstimated
ollama run phi4-reasoning:14bQuant: Q4_K_MContext: 8,192VRAM: 17.6 GBHeadroom: 78.4 GBollama run deepseek-r1:14b138tok/sEstimated
ollama run deepseek-r1:14bQuant: Q4_K_MContext: 8,192VRAM: 11.0 GBHeadroom: 85.0 GB241tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 11.6 GBHeadroom: 84.4 GB214tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 11.0 GBHeadroom: 85.0 GBollama run RefinedNeuro/RN_TR_R1:latest241tok/sEstimated
ollama run RefinedNeuro/RN_TR_R1:latestQuant: Q4_K_MContext: 8,192VRAM: 10.7 GBHeadroom: 85.3 GB241tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 28.5 GBHeadroom: 67.5 GB80tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 35.3 GBHeadroom: 60.7 GB62tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 37.8 GBHeadroom: 58.2 GBollama run qwq:32b60tok/sEstimated
ollama run qwq:32bQuant: Q4_K_MContext: 8,192VRAM: 36.3 GBHeadroom: 59.7 GB60tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 36.3 GBHeadroom: 59.7 GB60tok/sEstimated
Runs with tradeoffs12 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 2,048VRAM: 92.4 GBHeadroom: 3.6 GB- • Tight VRAM fit — only 3.6 GB headroom left for context growth
ollama run nemotron3:super16tok/sEstimated
- • Tight VRAM fit — only 3.6 GB headroom left for context growth
ollama run nemotron3:superQuant: Q4_K_MContext: 2,048VRAM: 152.8 GBHeadroom: 20.0 GB- • Partial CPU offload: ~37% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
3tok/sEstimated
- • Partial CPU offload: ~37% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
Quant: Q4_K_MContext: 2,048VRAM: 167.6 GBHeadroom: 5.2 GB- • Partial CPU offload: ~43% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
3tok/sEstimated
- • Partial CPU offload: ~43% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
Quant: AWQ-INT4Context: 2,048VRAM: 147.6 GBHeadroom: 25.2 GB- • Partial CPU offload: ~35% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
2tok/sEstimated
- • Partial CPU offload: ~35% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
Quant: Q4_K_MContext: 2,048VRAM: 172.0 GBHeadroom: 0.8 GB- • Partial CPU offload: ~44% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
29tok/sEstimated
- • Partial CPU offload: ~44% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
Quant: Q4_K_MContext: 2,048VRAM: 172.0 GBHeadroom: 0.8 GB- • Partial CPU offload: ~44% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
29tok/sEstimated
- • Partial CPU offload: ~44% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
Quant: AWQ-INT4Context: 8,192VRAM: 159.9 GBHeadroom: 12.9 GB- • Partial CPU offload: ~40% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
25tok/sEstimated
- • Partial CPU offload: ~40% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
Quant: Q4_K_MContext: 8,192VRAM: 146.6 GBHeadroom: 26.2 GB- • Partial CPU offload: ~34% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
20tok/sEstimated
- • Partial CPU offload: ~34% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
What if you upgraded?
Hypothetical scenarios. We re-ran the compatibility engine for each.
+32 GB system RAM
~$80–150
Doubles your CPU-offload working set. Helps when models don't quite fit in VRAM.
Unlocks: 64 new comfortable, 14 new tradeoff
- • Qwen 3 0.6B
- • Llama 3.2 3B Instruct
- • Qwen 3 1.7B
- • Gemma 3 270M
Upgrade to NVIDIA H200 NVL (PCIe)
~$32000
141 GB VRAM (vs your 96 GB) plus a bandwidth jump from ~1792 GB/s to ~4800 GB/s.
Unlocks: 69 new comfortable
- • Qwen 3 0.6B
- • Llama 3.2 3B Instruct
- • Qwen 3 1.7B
- • Gemma 3 270M
Add a second NVIDIA RTX PRO 6000 Blackwell
~$8999
Tensor parallelism splits the model across both cards, effectively doubling VRAM. Bandwidth doesn't double — runs ~1.5× the single-card speed in practice.
Unlocks: 78 new comfortable
- • Qwen 3 235B-A22B
- • Qwen 3 0.6B
- • GLM-5
- • Llama 3.2 3B Instruct
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Won't runtop 5 popular models
Need more memory than you have. Shown for orientation.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (77 GB) combined.
How to read these numbers
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