Can Mistral Small 3.2 24B run on RTX PRO 6000 Blackwell Server Edition 96GB?
YES — Runs Great
Mistral Small 3.2 24B needs ~27.9 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~99 tok/s.
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
98.5 tok/s
TTFT
1965 ms
Safe context
131K
Memory
27.9 GB / 96.0 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 98.5 tok/s | 1072 ms | 131K |
| Coding | A | Runs well | 98.5 tok/s | 1965 ms | 131K |
| Agentic Coding | A | Runs well | 98.5 tok/s | 2859 ms | 131K |
| Reasoning | A | Runs well | 98.5 tok/s | 2323 ms | 131K |
| RAG | A | Runs well | 98.5 tok/s | 3573 ms | 131K |
Quantization options
How Mistral Small 3.2 24B (24B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | A73 |
Q3_K_S | 3 | 11.8 GB | Low | A74 |
NVFP4 | 4 | 13.4 GB | Medium | A74 |
Q4_K_M | 4 | 14.6 GB | Medium | A74 |
Q5_K_M | 5 | 17.3 GB | High | A74 |
Q6_K | 6 | 19.7 GB | High | A75 |
Q8_0 | 8 | 25.7 GB | Very High | A75 |
F16Best for your GPU | 16 | 49.2 GB | Maximum | A80 |
Get started
Copy-paste commands to run Mistral Small 3.2 24B on your machine.
Run
ollama run mistral-small3.2Your hardware
