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
Q2_K
Best fit
Q8_0

13 quantizations fit your 141GB

QuantMin VRAMRecommendedFile sizeHeadroom
Q8_0BEST86.0 GB87.5 GB84.8 GB+55.0 GB
Q6_K66.9 GB68.4 GB65.5 GB+74.1 GB
Q5_K_M57.8 GB59.3 GB56.7 GB+83.2 GB
Q5_K_S56.2 GB57.7 GB55.0 GB+84.8 GB
Q5_056.0 GB57.5 GB55.0 GB+85.0 GB
Q4_151.0 GB52.5 GB50.0 GB+90.0 GB
Q4_K_M49.5 GB51.0 GB48.7 GB+91.5 GB
Q4_K_S46.8 GB48.3 GB46.9 GB+94.2 GB
Q4_046.0 GB47.5 GB46.1 GB+95.0 GB
Q3_K_L36.6 GB38.1 GB38.2 GB+104.4 GB
Q3_K_M34.5 GB36.0 GB36.7 GB+106.5 GB
Q3_K_S31.8 GB33.3 GB34.9 GB+109.2 GB
Q2_K27.3 GB28.8 GB28.2 GB+113.7 GB

Try it in the cloud first

Don't want to download Qwen 3 Next 80B A3B just to try it? Use a hosted API or rent a GPU by the second.

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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.