H200
The H200 is a cloud GPU with 141 GB of memory and 700 W TDP. It is currently available from 6 providers starting at $0.50/hr, with a market median of $4.00/hr across 77 offerings.
Best deal
Hardware specifications
- Architecture
- Hopper
- VRAM
- 141 GB
- Memory type
- HBM3
- Memory bandwidth
- 4,800 GB/s
- FP16
- 989 TFLOPS
- FP32
- 67 TFLOPS
- TDP
- 700 W
Same across all providers.
Market comparison
13-day price history
Offerings
| Provider | Cloud | Count | vCPU | RAM | Region | Per GPU hr | SPOT | Total/hr | |
|---|---|---|---|---|---|---|---|---|---|
HardwareHQ 0.0% 30dReferral link | — | ×2 | — | — | — | $0.50/hr | — | $1.00/hr | Launch ↗ |
HardwareHQ 0.0% 30dReferral link | — | ×2 | — | — | — | $3.59/hr | — | $7.18/hr | Launch ↗ |
HardwareHQ 0.0% 30dReferral link | — | ×2 | — | 504 GB | JP | $3.68/hr | — | $7.35/hr | Launch ↗ |
Vast.ai 0.0% 30dReferral link | — | ×2 | — | — | US | $3.79/hr | — | $7.58/hr | Launch ↗ |
Vast.ai 0.0% 30dReferral link | — | ×2 | — | — | SA | $3.98/hr | — | $7.95/hr | Launch ↗ |
HardwareHQ 0.0% 30dReferral link | — | ×2 | — | 504 GB | CZ | $4.32/hr | — | $8.64/hr | Launch ↗ |
Vast.ai 0.0% 30dReferral link | — | ×2 | — | — | CA | $4.35/hr | — | $8.69/hr | Launch ↗ |
HardwareHQ 0.0% 30dReferral link | — | ×2 | — | 504 GB | CA | $4.35/hr | — | $8.69/hr | Launch ↗ |
Vast.ai 0.0% 30dReferral link | — | ×2 | — | — | CZ | $4.52/hr | — | $9.04/hr | Launch ↗ |
HardwareHQ 0.0% 30dReferral link | — | ×2 | — | 504 GB | CZ | $5.13/hr | — | $10.25/hr | Launch ↗ |
Vast.ai 0.0% 30dReferral link | — | ×2 | — | — | CZ | $5.93/hr | — | $11.85/hr | Launch ↗ |
CloudCompute 0.0% 30dReferral link | — | ×2 | — | — | ru | $9.07/hr | — | $18.14/hr | Launch ↗ |
CloudCompute 0.0% 30dReferral link | — | ×2 | — | — | ru | $10.47/hr | — | $20.94/hr | Launch ↗ |
LLMs that fit
| Model | Params | 16-bit | 8-bit | 4-bit |
|---|---|---|---|---|
Kimi K2.5 Moonshot AI | 1T 32B active | Not released | Not released | 7× · 13.2% spare |
GLM-5.2 Z.ai | 753B | Needs >8 GPUs | Needs >8 GPUs | Barely fits on 5× |
DeepSeek R1 DeepSeek | 671B 37B active | Not released | Barely fits on 8× | 5× · 127.8 GB free |
DeepSeek V4 Flash DeepSeek | 284B | Not released | Not released | 2× · 51.6 GB free |
Solar Open2 250B Upstage | 250B 15B active | 6× · 14.8% spare | Barely fits on 3× | 2× · 51.6 GB free |
Qwen3 235B-A22B Alibaba | 235B 22B active | Barely fits on 5× | Barely fits on 3× | 2× · 64.8 GB free |
Laguna-S 2.1 Poolside | 118B 8B active | 3× · 84.6 GB free | 2× · 96 GB free | 1× · 33 GB free |
gpt-oss-120b OpenAI | 117B 5.1B active | Not released | Not released | 1× · 47.4 GB free |
Llama 3.1 70B Meta | 70B | 2× · 114 GB free | 1× · 49.2 GB free | 1× · 87 GB free |
Qwen3.6 35B-A3B Alibaba | 35B 3B active | 1× · 37.8 GB free | 1× · 84.6 GB free | 1× · 107.4 GB free |
Qwen3 32B Alibaba | 32.8B | 1× · 46.2 GB free | 1× · 89.4 GB free | 1× · 111 GB free |
Qwen2.5 14B Alibaba | 14B | 1× · 105.6 GB free | 1× · 121.7 GB free | 1× · 129.6 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.
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Frequently asked questions
How much does the H200 cost per hour?
The cheapest H200 offering starts at $0.50/hr, and the market median is $4.00/hr.
Which cloud providers offer the H200?
We track H200 offerings from HardwareHQ, Vast.ai, CloudCompute.
How much VRAM does the H200 have?
The H200 has 141 GB of VRAM.
What LLMs can run on the H200?
With 141 GB of VRAM, the H200 can run 15 of our tracked models in 4-bit quantization, including Kimi K2.5, GLM-5.2, DeepSeek R1. 10 models fit in 16-bit precision.
What's the biggest LLM I can run on multiple H200s?
With 8× H200 (1128 GB total), the largest tracked model that fits in 16-bit is Solar Open2 250B (250B params), which needs 6× GPUs.
Where is the H200 cheapest?
The cheapest H200 offering in our catalog is HardwareHQ at $0.50/hr per GPU-hour (×2).