Can I Run / Qwen3.8 2.4T A95B / on NVIDIA H200
Can I Run Qwen3.8 2.4T A95B on a NVIDIA H200?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
95.0B
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 | 101.9 GB | 103.4 GB | 100.9 GB | +39.1 GB |
| Q6_K | 79.3 GB | 80.8 GB | 78.3 GB | +61.7 GB |
| Q5_K_M | 68.5 GB | 70.0 GB | 67.5 GB | +72.5 GB |
| Q4_K_M | 58.6 GB | 60.1 GB | 57.6 GB | +82.4 GB |
Try it in the cloud first
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Full model details
Qwen3.8 2.4T A95B →
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 Qwen3.8 2.4T A95B?
Yes. The NVIDIA H200's 141GB of VRAM is enough to run Qwen3.8 2.4T A95B at Q8_0 quantization (101.9GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 141GB. It uses about 101.9GB of memory and 103.4GB 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.