# Rent the NVIDIA H100 by the hour

The standard GPU for training and serving large language models. Arrakis lists every available H100 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 H100 on Arrakis is $1.77 per GPU-hour, with 27 GPUs available on 4 machines.

## Specifications

- Architecture: NVIDIA Hopper
- Memory: 80 GB HBM3 (SXM) or HBM2e (PCIe)
- Memory bandwidth: Up to 3.35 TB/s on SXM
- Source: [NVIDIA's H100 page](https://www.nvidia.com/en-us/data-center/h100/)

## How the H100 compares

| GPU | Memory | Memory bandwidth | Lowest price per GPU-hour on Arrakis |
|---|---|---|---|
| H100 | 80 GB | Up to 3.35 TB/s on SXM | $1.77 |
| [H200](/gpus/h200.html.md) | 141 GB | 4.8 TB/s | $4.50 |
| [B200](/gpus/b200.html.md) | 180 to 192 GB | Up to 8 TB/s | $5.60 |
| [A100](/gpus/a100.html.md) | 40 or 80 GB | Up to 2 TB/s on the 80 GB model | $0.65 |

## What people run on it

- Training and fine-tuning large language models
- High-throughput inference in FP8 with the Transformer Engine
- Multi-GPU jobs on NVLink-connected SXM machines

## Questions

**How much does it cost to rent an H100?** As of 13 Oct 2026, 17:58 UTC, the lowest price for an NVIDIA H100 on Arrakis is $1.77 per GPU-hour, with 27 GPUs available on 4 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 H100 on Arrakis?** Yes. Give the agent a spend-capped token and connect it over MCP or the REST API. It can search for an H100, rent it for a set number of hours, and shut it down, and it cannot spend past its cap.

**Which H100 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=H100), or `arrakis gpus search --gpu-type "H100"` (cheapest first).
Which GPU fits your model: [How much GPU memory you need](/guides/gpu-memory.html.md).