# DeepSeek-Reasonix Hardware Requirements: Minimal Specs for Local AI Inference

> Discover DeepSeek-Reasonix hardware requirements. Run powerful AI inference locally on any 64-bit machine with minimal specs, no GPU needed, and low disk space.

- Repository: [YHH/DeepSeek-Reasonix](https://github.com/esengine/DeepSeek-Reasonix)
- Tags: hardware-requirements
- Published: 2026-08-10

---

**DeepSeek-Reasonix runs on any modern 64-bit machine (amd64 or arm64) with no GPU required, consuming only ~30MB of disk space and a few hundred MB of RAM for the loaded model.**

DeepSeek-Reasonix is distributed as a single, statically linked Go binary that operates on minimal hardware. According to the `esengine/DeepSeek-Reasonix` source code, the hardware requirements for running DeepSeek-Reasonix are intentionally lightweight, requiring no specialized accelerators or excessive memory beyond what standard consumer laptops provide.

## CPU and Architecture Requirements

DeepSeek-Reasonix supports modern 64-bit processors across two primary architectures without virtualization overhead.

### Supported Architectures

The pre-built binaries target **amd64 (x86-64)** and **arm64** architectures. As documented in [`README.md`](https://github.com/esengine/DeepSeek-Reasonix/blob/main/README.md) (lines 98-101), the project provides native binaries for both Intel/AMD and Apple Silicon/ARM processors, ensuring native execution speeds across the supported matrix.

### Operating System Compatibility

Pre-built packages are available for **macOS**, **Windows**, and **Linux**. The same compatibility matrix referenced in the repository documentation confirms cross-platform support, allowing the binary to run on any recent version of these operating systems without additional emulation layers.

## Memory and Storage Requirements

The core engine demands minimal resources compared to traditional ML frameworks. The binary itself occupies approximately **30MB** of disk space. At runtime, DeepSeek-Reasonix requires only a few hundred megabytes of RAM to load and operate the inference model. No GPU memory or dedicated graphics card is necessary for the core engine functionality.

## Build Prerequisites for Source Compilation

While pre-built binaries require zero dependencies, building from source necessitates specific toolchain versions documented in the repository.

### CLI-Only Build

To compile the command-line interface, install **Go 1.25** or later. The `go.mod` file enforces this version requirement, and the README (lines 125-130) explicitly states "CLI build requires Go 1.25+". The `Makefile` provides convenient targets for compilation:

```bash
git clone https://github.com/esengine/DeepSeek-Reasonix.git
cd DeepSeek-Reasonix
make build  # produces bin/reasonix(.exe)

```

### Desktop Application Build

Building the desktop UI requires additional frontend tooling. Install **Node 24+**, **pnpm 10**, and the **Wails CLI** version specified in the `.wails-version` file. The README (lines 139-143) documents these requirements specifically for the desktop interface:

```bash
make wails-install  # installs Wails CLI matching .wails-version

cd desktop
wails build         # creates platform-specific desktop bundle

```

## Installation Methods

Deploy DeepSeek-Reasonix without compilation using package managers that automatically select the correct binary for your hardware.

Install via npm (cross-platform):

```bash
npm i -g reasonix

```

Install via Homebrew (macOS):

```bash
brew install esengine/reasonix/reasonix

```

Verify the binary detects your platform correctly:

```bash
reasonix --version

# Sample output: reasonix version 0.12.3 (linux/amd64)

```

## Summary

- DeepSeek-Reasonix operates on any 64-bit machine (amd64 or arm64) running macOS, Windows, or Linux
- No GPU required; core engine needs only ~30MB disk and a few hundred MB RAM
- Pre-built binaries available via npm and Homebrew require zero build dependencies
- Source compilation requires Go 1.25+ for CLI builds
- Desktop builds additionally require Node 24+, pnpm 10, and the specific Wails CLI version pinned in `.wails-version`

## Frequently Asked Questions

### Does DeepSeek-Reasonix require a GPU to run?

No. The core inference engine runs entirely on CPU using the statically linked Go binary. While GPU acceleration may be supported for specific model optimizations, the standard `esengine/DeepSeek-Reasonix` distribution requires no graphics card, CUDA drivers, or specialized AI accelerators to function.

### Can I run DeepSeek-Reasonix on Apple Silicon Macs?

Yes. The project provides native **arm64** binaries for macOS, enabling optimal performance on Apple Silicon (M1/M2/M3) processors without Rosetta 2 translation. The [`npm/reasonix/package.json`](https://github.com/esengine/DeepSeek-Reasonix/blob/main/npm/reasonix/package.json) configuration distributes platform-specific binaries for both amd64 and arm64 architectures.

### What is the minimum RAM needed for DeepSeek-Reasonix?

The engine itself consumes minimal memory, requiring only a few hundred megabytes of RAM to load the active model. Unlike large language model frameworks that typically demand 8GB+ of VRAM, DeepSeek-Reasonix operates efficiently on systems with standard memory configurations.

### Do I need to install Go to use DeepSeek-Reasonix?

No. Go 1.25+ is only required if you choose to build from source using the `Makefile` targets. Pre-built binaries distributed via npm or Homebrew are statically linked and self-contained, requiring no runtime dependencies, compilers, or development toolchains on the target machine.