# Rent the NVIDIA H200 by the hour

The H100's compute with far more memory and bandwidth. Arrakis lists every available H200 across independent GPU markets, cheapest first, and rents it on one prepaid balance with automatic shutdown.

**Price right now:** As of 13 Oct 2026, 17:58 UTC, the lowest price for an NVIDIA H200 on Arrakis is $4.50 per GPU-hour, with 14 GPUs available on 3 machines.

## Specifications

- Architecture: NVIDIA Hopper
- Memory: 141 GB HBM3e
- Memory bandwidth: 4.8 TB/s
- Source: [NVIDIA's H200 page](https://www.nvidia.com/en-us/data-center/h200/)

## How the H200 compares

| GPU | Memory | Memory bandwidth | Lowest price per GPU-hour on Arrakis |
|---|---|---|---|
| H200 | 141 GB | 4.8 TB/s | $4.50 |
| [H100](/gpus/h100.html.md) | 80 GB | Up to 3.35 TB/s on SXM | $1.77 |
| [B200](/gpus/b200.html.md) | 180 to 192 GB | Up to 8 TB/s | $5.60 |

## What people run on it

- Inference on large models that do not fit in 80 GB
- Long-context serving
- Training with larger batches per GPU

## Questions

**How much does it cost to rent an H200?** As of 13 Oct 2026, 17:58 UTC, the lowest price for an NVIDIA H200 on Arrakis is $4.50 per GPU-hour, with 14 GPUs available on 3 machines. You pay the hourly price shown when you rent, from a prepaid balance. A machine bills from start to removal, and a started hour counts as a full hour.

**Can an AI agent rent the H200 on Arrakis?** Yes. Give the agent a spend-capped token and connect it over MCP or the REST API. It can search for an H200, rent it for a set number of hours, and shut it down, and it cannot spend past its cap.

**Which H200 configurations can I rent?** It depends on live supply. Each listing shows the exact model, memory, GPU count, CPU and RAM, country and region, and a reliability score, so you can choose the machine that fits.

**Do I get root access?** Yes. You SSH in as root and can run any Docker image, with your own SSH keys and optional volumes for data.


Rent it: [console](/console/#/gpus?gpu_type=H200), or `arrakis gpus search --gpu-type "H200"` (cheapest first).
Which GPU fits your model: [How much GPU memory you need](/guides/gpu-memory.html.md).