Can I Run / Devstral 2 2512 / on NVIDIA B200
Can I Run Devstral 2 2512 on a NVIDIA B200?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
125B
GPU memory
192GB
Smallest quant
Q2_K
Best fit
Q8_0
2 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 133.8 GB | 135.3 GB | 132.8 GB | +58.2 GB |
| Q2_K | 42.1 GB | 43.6 GB | 46.6 GB | +149.9 GB |
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Full model details
Devstral 2 2512 →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA B200 →
Top-ranked open-source models that fit in 192GB.
FAQ
Can the NVIDIA B200 run Devstral 2 2512?
Yes. The NVIDIA B200's 192GB of VRAM is enough to run Devstral 2 2512 at Q8_0 quantization (133.8GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 192GB. It uses about 133.8GB of memory and 135.3GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.