Can I Run / Qwen 3 Next 80B A3B / on NVIDIA H200
Can I Run Qwen 3 Next 80B A3B on a NVIDIA H200?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
80.0B
GPU memory
141GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 141GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 86.0 GB | 87.5 GB | 85.0 GB | +55.0 GB |
| Q6_K | 66.9 GB | 68.4 GB | 65.9 GB | +74.1 GB |
| Q5_K_M | 57.8 GB | 59.3 GB | 56.8 GB | +83.2 GB |
| Q4_K_M | 49.5 GB | 51.0 GB | 48.5 GB | +91.5 GB |
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Full model details
Qwen 3 Next 80B A3B →
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 Qwen 3 Next 80B A3B?
Yes. The NVIDIA H200's 141GB of VRAM is enough to run Qwen 3 Next 80B A3B at Q8_0 quantization (86.0GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 141GB. It uses about 86.0GB of memory and 87.5GB 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.