# Installation

This document provides instructions to set up **TFHE-rs** in your project.

## Importing

First, add **TFHE-rs** as a dependency in your `Cargo.toml`.

```toml
tfhe = { version = "~1.6.1", features = ["boolean", "shortint", "integer"] }
```

{% hint style="info" %}
**Rust version**: a minimum Rust version of 1.84 is required to compile **TFHE-rs**.
{% endhint %}

{% hint style="success" %}
**Performance**: for optimal performance, it is highly recommended to run code that uses **`TFHE-rs`** in release mode with cargo's `--release` flag.
{% endhint %}

## Supported platforms

**TFHE-rs** currently supports the following platforms:

| OS      | x86\_64                             | aarch64     |
| ------- | ----------------------------------- | ----------- |
| Linux   | Supported                           | Supported\* |
| macOS   | Supported                           | Supported\* |
| Windows | Supported with `RDSEED` instruction | Unsupported |

By default, **TFHE-rs** makes the assumption that hardware AES features are enabled on the target CPU. The required CPU features are:

* x86\_64: sse2, aesni
* aarch64: aes, neon

To add support for older CPU, import **TFHE-rs** with the `software-prng` feature in your `Cargo.toml`:

```toml
tfhe = { version = "~1.6.1", features = ["boolean", "shortint", "integer", "software-prng"] }
```

## Hardware acceleration

**TFHE-rs** now features hardware-accelerated backends.

You can refer to the:

* [GPU backend instructions](/tfhe-rs/hardware-acceleration/run-on-gpu.md) to benefit from GPU accelerated primitives.
* [HPU backend instructions](/tfhe-rs/hardware-acceleration/run-on-hpu.md) to benefit from custom FPGA accelerated primitives.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.zama.org/tfhe-rs/get-started/installation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
