Can I Run Qwen 3.5 122B A10B on a NVIDIA H100 NVL?
Runs at Q5_K_M — good quality with reasonable headroom.
2 quantizations fit your 94.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 87.6 GB | 89.1 GB | 86.6 GB | +6.4 GB |
| Q4_K_M | 75.0 GB | 76.5 GB | 74.0 GB | +19.0 GB |
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Top-ranked open-source models that fit in 94.0GB.
FAQ
Can the NVIDIA H100 NVL run Qwen 3.5 122B A10B?
Yes. The NVIDIA H100 NVL's 94.0GB of VRAM is enough to run Qwen 3.5 122B A10B at Q5_K_M quantization (87.6GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 94.0GB. It uses about 87.6GB of memory and 89.1GB 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.