Can I Run / DeepSeek V4 Flash / on NVIDIA H200
Can I Run DeepSeek V4 Flash on a NVIDIA H200?
Yes
Runs at full precision (fp16). Zero quality loss.
Model size
37.0B
GPU memory
141GB
Smallest quant
Q4_K_M
Best fit
fp16
5 quantizations fit your 141GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 75.0 GB | 76.5 GB | 74.0 GB | +66.0 GB |
| Q8_0 | 40.3 GB | 41.8 GB | 39.3 GB | +100.7 GB |
| Q6_K | 31.5 GB | 33.0 GB | 30.5 GB | +109.5 GB |
| Q5_K_M | 27.3 GB | 28.8 GB | 26.3 GB | +113.7 GB |
| Q4_K_M | 23.4 GB | 24.9 GB | 22.4 GB | +117.6 GB |
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Full model details
DeepSeek V4 Flash →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA H200 →
Top-ranked open-source models that fit in 141GB.
FAQ
Can the NVIDIA H200 run DeepSeek V4 Flash?
Yes. The NVIDIA H200's 141GB of VRAM is enough to run DeepSeek V4 Flash at fp16 quantization (75.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 141GB. It uses about 75.0GB of memory and 76.5GB 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.