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Aicomputer

Open source DIY AI computing platform: Build a powerful RTX 3090 GPU rig under €1,300 for local LLM inference, training, and AI development. Complete with parts list, assembly guide, Ubuntu setup, and remote access configuration. Ideal for students, researchers, and hobbyists wanting affordable AI hardware without cloud dependencies.

Install / Use

/learn @yachty66/Aicomputer

README

aicomputer

<p align="center"> <img src="final-build.jpg" width="400"> </p>

This is a guide on how you can build a low-cost (<1,300€) AI computer by yourself to run your AI flows locally.

Ideal for students on a low budget. The build can, of course, also be expanded and constructed in a way to offer the best performance for enterprises, for example.

Table of Contents

Parts List

| Component | Model | | --------------- | ------------------------------------------------------------------------------------------------------------------------------------------- | | GPU | RTX 3090 FE (used) | | CPU | Intel i5 12400F | | Motherboard | Asus PRIME B660M-K D4 | | RAM | Corsair Vengeance LPX 32GB (2x16GB) | | Storage | WD Green SN3000 500GB NVMe | | PSU | MSI MAG A750GL PCIE5 750W | | CPU Cooler | ARCTIC Freezer 36 | | Case Fans | 4x ARCTIC P12 PWM | | Case | ASUS Prime AP201 MicroATX |

Note: Links are to German retailers but parts are available worldwide

Assembly Guide

  1. Unpack all components
  2. Install CPU on motherboard
  3. Mount CPU cooler
  4. Install RAM modules
  5. Install M.2 SSD
  6. Mount motherboard in case
  7. Connect front panel cables
  8. Install power supply
  9. Install exhaust fan: <p align="center"> <img src="exhaust-fan-example.jpg" width="400" alt="Exhaust fan installation"> </p>
  10. Install GPU
  11. Close case

Installation

  1. Connect:
    • Ethernet cable to router
    • Keyboard to motherboard USB
    • Monitor to GPU (not motherboard)
  2. Download Ubuntu Server
  3. Create bootable USB
  4. Insert USB into motherboard port
  5. Power on (PSU switch to 'I')
  6. Enter BIOS/boot menu: <p align="center"> <img src="monitor.jpg" width="400" alt="Monitor"> </p>
  7. Select USB boot device: <p align="center"> <img src="monitor-2.jpg" width="400" alt="Monitor-2"> </p>
  8. Complete Ubuntu installation with SSH server enabled

Remote Access Setup

After installation, you can SSH from any device on your network:

ssh username@192.168.2.x  # Replace with your machine's IP

How to get the IP

  1. Connect the monitor along with the mouse and keyboard.

  2. Input the Wi-Fi password via the GUI and connect to Wi-Fi.

  3. Run ip a in the terminal and find the IP (it will look like 192.168.x.x or 10.0.x.x).

  4. From my end, run ssh username@thisip

Usage

Ready to use with GPU accelerated models from Ollama and other AI frameworks.

Need Help?

Reach out to me on X for build assistance or questions!

View on GitHub
GitHub Stars6
CategoryDevelopment
Updated1mo ago
Forks0

Languages

Jupyter Notebook

Security Score

75/100

Audited on Mar 4, 2026

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