Can I Run Qwen 3.6 35B A3B on a NVIDIA H100 80GB?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 80.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 71.0 GB | 72.5 GB | 70.0 GB | +9.0 GB |
| Q8_0 | 38.2 GB | 39.7 GB | 37.2 GB | +41.8 GB |
| Q6_K | 29.8 GB | 31.3 GB | 28.8 GB | +50.2 GB |
| Q5_K_M | 25.9 GB | 27.4 GB | 24.9 GB | +54.1 GB |
| Q4_K_M | 22.2 GB | 23.7 GB | 21.2 GB | +57.8 GB |
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FAQ
Can the NVIDIA H100 80GB run Qwen 3.6 35B A3B?
Yes. The NVIDIA H100 80GB's 80.0GB of VRAM is enough to run Qwen 3.6 35B A3B at fp16 quantization (71.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 80.0GB. It uses about 71.0GB of memory and 72.5GB 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.