> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/deployment/self-hosted/inference-server/install/minimum-requirements.md).

# Minimum Requirements

Inference adapts to your machine's resources and runs faster on more powerful machines, but it cannot run on every device.

To run Inference, we recommend at least:

* A 64-bit processor
* 4 GB of RAM
* 20 GB of free disk space

<details>

<summary>Additional requirements for Windows</summary>

To run on Windows you need Windows 10 or Windows 11 with Windows Subsystem for Linux (WSL 2) activated, unless you use the [native Windows installer](/deployment/self-hosted/inference-server/install/windows.md#windows-installer-x86).

</details>

## GPU recommended

Inference can use hardware acceleration on NVIDIA GPUs. It is not required, but for bigger models and live streaming video we recommend [a CUDA-capable GPU](https://developer.nvidia.com/cuda-gpus).

## Supported devices

You can run an Inference server on:

* ARM CPU (macOS, Raspberry Pi)
* x86 CPU (macOS, Linux, Windows)
* NVIDIA GPU
* NVIDIA Jetson (JetPack 4.5.x, 4.6.x, 5.x, 6.x)

You can also run Inference on a VM in [your own cloud](/deployment/self-hosted/inference-server/install/cloud.md) on AWS, Azure, or GCP, or let Roboflow host it for you: see [Choosing a Deployment Option](/deployment/choosing-a-deployment.md) for the comparison. Other hardware may work but is not officially tested; see [Using Other Devices](/deployment/self-hosted/inference-server/install/other.md).

## Suggested edge devices

NVIDIA Jetson Orin devices with JetPack 5 or JetPack 6 are powerful, well-rounded machines, and the Roboflow test suite runs against them regularly. The [Jetson Orin Nano Super Developer Kit](https://www.seeedstudio.com/NVIDIAr-Jetson-Orintm-Nano-Developer-Kit-p-5617.html) is a good device to start building with.

Roboflow also sells [a pre-configured Jetson-based edge device](https://roboflow.com/hardware) suitable for rapid prototyping.