# Rent the NVIDIA A100 by the hour

A proven workhorse with the widest software support. Arrakis lists every available A100 across independent GPU markets, cheapest first, and rents it on one prepaid balance with automatic shutdown.

**Price right now:** As of 13 Oct 2026, 17:57 UTC, the lowest price for an NVIDIA A100 on Arrakis is $0.65 per GPU-hour, with 21 GPUs available on 7 machines.

## Specifications

- Architecture: NVIDIA Ampere
- Memory: 40 GB or 80 GB of HBM
- Memory bandwidth: Up to 2 TB/s on the 80 GB model
- Source: [NVIDIA's A100 page](https://www.nvidia.com/en-us/data-center/a100/)

## How the A100 compares

| GPU | Memory | Memory bandwidth | Lowest price per GPU-hour on Arrakis |
|---|---|---|---|
| A100 | 40 or 80 GB | Up to 2 TB/s on the 80 GB model | $0.65 |
| [H100](/gpus/h100.html.md) | 80 GB | Up to 3.35 TB/s on SXM | $1.77 |
| [L40S](/gpus/l40s.html.md) | 48 GB | 864 GB/s | None available now |

## What people run on it

- Fine-tuning and training mid-size models
- Cost-efficient inference
- Workloads that rely on a mature CUDA stack

## Questions

**How much does it cost to rent an A100?** As of 13 Oct 2026, 17:57 UTC, the lowest price for an NVIDIA A100 on Arrakis is $0.65 per GPU-hour, with 21 GPUs available on 7 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 A100 on Arrakis?** Yes. Give the agent a spend-capped token and connect it over MCP or the REST API. It can search for an A100, rent it for a set number of hours, and shut it down, and it cannot spend past its cap.

**Which A100 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=A100), or `arrakis gpus search --gpu-type "A100"` (cheapest first).
Which GPU fits your model: [How much GPU memory you need](/guides/gpu-memory.html.md).