The NVIDIA H200 NVL is an enterprise-class GPU built on the Hopper architecture, featuring 141 GB of memory. Currently available from 2 providers starting at $3.40/GPU/hour, with a market median of $3.67/GPU/hour across 10 configurations.
Hardware specifications
Same across all providers
Median price across all providers
2 offerings from 2 providers
Sorted by price ascending. Compare configurations side-by-side.
LLMs that fit on the NVIDIA H200 NVL
Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 141 GB per GPU. Showing the 12 largest that fit.
| Model | Parameters | 16-bit | 8-bit | 4-bit |
|---|---|---|---|---|
| DeepSeek V4 Pro DeepSeek | 1.6T 49B active | — Not released | — Not released | 1,038 GB Tight on 7× · 14% spare |
| Kimi K2.5 Moonshot AI | 1T 32B active | — Not released | — Not released | 714 GB 7× · 273 GB free |
| GLM-5.2 Z.ai | 753B | 1,808 GB Too large | 994 GB Tight on 7× · 19% spare | 579 GB 7× · 408 GB free or 4× · 16% spare |
| DeepSeek R1 DeepSeek | 671B 37B active | — Not released | 826 GB 7× · 161 GB free | 481 GB 4× · 83 GB free |
| DeepSeek V4 Flash DeepSeek | 284B | — Not released | — Not released | 192 GB 2× · 90 GB free |
| Solar Open2 250B Upstage | 250B 15B active | 601 GB 7× · 386 GB free or 4× · 12% spare | 330 GB 4× · 234 GB free or 2× · 2% spare | 192 GB 2× · 90 GB free |
| Qwen3 235B-A22B Alibaba | 235B 22B active | 564 GB 7× · 423 GB free or 4× · 19% spare | 310 GB 4× · 254 GB free or 2× · 9% spare | 181 GB 2× · 101 GB free |
| Laguna-S 2.1 Poolside | 118B 8B active | 282 GB 4× · 282 GB free or 2× · 19% spare | 155 GB 2× · 127 GB free or 1× · 9% spare | 90 GB 1× · 51 GB free |
| gpt-oss-120b OpenAI | 117B 5.1B active | — Not released | — Not released | 78 GB 1× · 63 GB free |
| Qwen3.6 35B-A3B Alibaba | 35B 3B active | 86 GB 1× · 55 GB free | 47 GB 1× · 94 GB free | 28 GB 1× · 113 GB free |
| Qwen3 32B Alibaba | 32.8B | 79 GB 1× · 62 GB free | 43 GB 1× · 98 GB free | 25 GB 1× · 116 GB free |
| Gemma 4 31B Google | 31.3B | 75 GB 1× · 66 GB free | 41 GB 1× · 100 GB free | 24 GB 1× · 117 GB free |
Estimates: model weights plus 20% for KV cache and runtime overhead, at short context lengths. Long contexts and large batches need more. Rows marked “tight” hold the weights but not that full margin. A ×N figure is the total VRAM across N of these GPUs and makes no claim about interconnect throughput. How we estimate this · Start from a model instead
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