> For the complete documentation index, see [llms.txt](https://docs.function.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.function.network/function-network/using-function-network/run-a-node/hardware-requirement.md).

# Hardware Requirement

While the network is open to a variety of hardware, here are some of the most commonly used and recommended setups for running a node on the Function Network.

| Category            | Manufacturer | Recommended Models                  |
| ------------------- | ------------ | ----------------------------------- |
| **Apple Silicon**   | Apple        | M1, M2, M3, M4 (and their variants) |
| **Consumer GPUs**   | Nvidia       | RTX 3090, RTX 4090                  |
| **Enterprise GPUs** | Nvidia       | A100, H100, H200                    |

> **Note:** This list is not comprehensive. We encourage anyone with capable hardware to join the network. If you have a different setup, you can still participate and contribute.

> **For Testnet Participants:** For testnet purposes, the network is more lenient and will allow CPU-based hardware for running smaller models (e.g., those with fewer than 14 billion parameters). This is to encourage broader participation and testing.