Can I Run DeepSeek V4 Flash on a NVIDIA A100 80GB?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 80.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 75.0 GB | 76.5 GB | 74.0 GB | +5.0 GB |
| Q8_0 | 40.3 GB | 41.8 GB | 39.3 GB | +39.7 GB |
| Q6_K | 31.5 GB | 33.0 GB | 30.5 GB | +48.5 GB |
| Q5_K_M | 27.3 GB | 28.8 GB | 26.3 GB | +52.7 GB |
| Q4_K_M | 23.4 GB | 24.9 GB | 22.4 GB | +56.6 GB |
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Top-ranked open-source models that fit in 80.0GB.
FAQ
Can the NVIDIA A100 80GB run DeepSeek V4 Flash?
Yes. The NVIDIA A100 80GB's 80.0GB 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 80.0GB. 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.