---
title: "Build Your Own Personal AI Computer"
url: https://stacklist.com/card/b8235c84-3db0-4ad9-bc8b-18478f88cf8a
source_url: "https://github.com/autonomous-ai/autonomous-computer"
stack: https://stacklist.com/stack/4aae218c-38d7-4c05-b7ae-f2db0029a2e8
summary: "Autonomous Computer is an open-source project providing complete guides to build personal AI computers running open-source models on user-owned hardware across three configurations (home, team, and business). The project includes bill of materials, 3D-printable housing files, assembly instructions, and software setup to enable independent AI inference without reliance on cloud providers."
tags: "autonomous-computer, open-source, ai-hardware, local-models, gpu-cluster, self-hosted, edge-computing"
key_entities: "Autonomous (organization), RTX 5090 (technology), RTX PRO 6000 Blackwell (technology), Llama 70B (technology), DeepSeek-V3 (technology), Qwen 235B (technology), NVIDIA (technology), AMD EPYC (technology), Ollama (technology), vLLM (technology), edge-computing (concept), self-hosted-ai (concept)"
classification: "tutorial"
content_hash: "sha256:6a6ff53e8a8bde694b8aa2137946c65e95f18ccd9bfd1799cafd8676ca68b51f"
acp_version: "0.2"
token_counts_approximate: 728
visibility: public
agent_accessible: true
status: "final"
---

# Build Your Own Personal AI Computer

Autonomous Computer — Build Your Own Personal AI Computer Personal.AI.Computer.mov Own your intelligence. Open-source guides to build a machine that runs open models on hardware no one can switch off — every part, every bracket, every BIOS setting, every assembly photo. Pick the size that fits your budget and your work. Why this exists. The best models live in someone else's cloud, behind someone else's terms and someone else's government. A model you rent can be cut off overnight. A model running in your own house can't. Build it once; own it for good. Pick your configuration One Personal AI Computer, three configurations — from a home rig to an on-prem business cluster. Each is a complete, self-contained guide: bill of materials, 3D-printable/CNC housing files, wiring, BIOS, and assembly photos. Config GPUs VRAM Best for Platform Guide 2× 2× RTX 5090 64 GB Home — your first local rig, runs a real model tonight Intel Xeon W5 · ASUS W790 → 2× config 4× 4× RTX PRO 6000 Blackwell 384 GB Team — big models + agents running all day AMD EPYC 9124 · ASRock Rack → 4× config 8× 8× RTX 4090 / 5090 192–256 GB On-prem business — a company's AI on its own floor; IP and data never leave Dual AMD EPYC 9004 (Genoa) → 8× config What it can run VRAM is the constraint that decides which open models fit. Rough guide (exact fit depends on quantization — model specifics live in /software ): Build VRAM Open models it can serve (e.g.) 2× RTX 5090 64 GB Llama 70B / Qwen 72B (quantized), 30B-class at full precision, coding + agent models 4× RTX PRO 6000 384 GB DeepSeek-V3 / R1, Qwen 235B, Llama 405B (quantized) — frontier-class open weights 8× RTX 4090/5090 192–256 GB Multiple large models served at once, plus headroom for fine-tuning Quick start Pick a configuration above by budget and the models you want to run. Source the parts from that config's Bill of Materials. Make the housing — print the STL files or CNC the STEP files in that config's folder. Assemble — follow the config's photo-by-photo assembly guide. Set up the software — drivers, BIOS, and serving open models locally: /software . Run your intelligence — point your agent at localhost and never get cut off again. The configurations 2× — Home · 2× RTX 5090, 64 GB 4× — Team · 4× RTX PRO 6000 Blackwell, 384 GB 8× — On-prem business · 8× RTX 4090/5090, 192–256 GB Software Bringing the box to life — OS, NVIDIA drivers, BIOS tuning, serving open models (Ollama / vLLM / llama.cpp), and connecting an agent: /software . (Setup and testing are documented today; local model-serving guides are in progress.) Contributing Built one? Improved a part? Found a better component? See CONTRIBUTING.md — and share your build . The best community builds get featured. License Open source under the MIT License . Fork it, change it, build your own and sell it — we just want it built. Autonomous — the AI hardware company. Questions? Open an issue.