Build: NVIDIA RTX PRO 6000 Blackwell + — + 32 GB RAM (windows)
Ranked by fit for vision use case + predicted speed. Click a row for VRAM breakdown.
ollama run gemma4:e2bollama run gemma4:e4bollama run gemma3:4bollama run qwen3.5:9bollama run gemma4:12bollama run ministral-3:14bTight VRAM, partial CPU offload, or context-limited.
Hypothetical scenarios. We re-ran the compatibility engine for each.
~$80–150
Doubles your CPU-offload working set. Helps when models don't quite fit in VRAM.
Unlocks: 265 new comfortable, 7 new tradeoff
~$32000
141 GB VRAM (vs your 96 GB) plus a bandwidth jump from ~1792 GB/s to ~4800 GB/s.
Unlocks: 271 new comfortable
~$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: 279 new comfortable
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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 (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (96 GB) + 60% of system RAM (19 GB) combined.
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