Homelab AI Server
Setup Guide
Run Qwen3, Llama, and DeepSeek locally. Full guide: hardware, drivers, benchmarks.
Payment by Stripe
What you get
- Full hardware bill of materials at three budgets ($700 used 3060 12GB, $1,200 new 4070 Ti Super 16GB, $2,500 used 3090 24GB) with real May 2026 prices from Newegg and eBay -- no vague "mid-range GPU" hand-waving
- Benchmark table showing tokens/sec for Qwen3-14B, Llama 3.1 8B, Mistral 7B, and DeepSeek-R1 across 4 rigs and 6 quant levels -- so you know exactly what speed to expect before you buy
- Quantization decision guide: Q4_K_M vs Q5_K_M vs Q6_K vs Q8 vs FP16 explained with VRAM cost and quality percentages -- finally an answer to "which quant should I use"
- Complete local agent stack via Docker Compose: Ollama + Open WebUI + Searxng + Jupyter, with Modelfile templates for coding, chat, and RAG use cases
- Integration guides for Claude Code (local proxy), Continue.dev in VS Code, n8n workflow automation, and the OpenAI Python client -- all pointing at your local box
About this product
Running a large language model on your own hardware is not a weekend project for experts anymore. This 32-page guide gives you everything you need to go from bare metal to a fully functional private AI server -- with real benchmarks, copy-paste commands, and honest coverage of what works and what does not.
Step-by-step Ubuntu 24.04 LTS setup covers the full NVIDIA driver chain, CUDA 12.x, Ollama install, model pulls, REST API, and systemd service configuration. The security chapter handles UFW, SSH keys, and Tailscale. Monitoring with Grafana and nvtop. Electricity cost math. GPU undervolting for efficiency.
Appendices include every config file you need, a reproducible benchmark script, and a curated r/LocalLLaMA reading list current as of May 2026. No filler. No "it depends." Specific model names, specific GPU model numbers, specific commands that work on a real box.
FAQ
What is the refund window?
30 days, no questions asked. Reply to your Gumroad or purchase receipt email and your money is back in full.
Do I get a download link immediately after purchase?
Yes. Stripe Checkout redirects you to a confirmation page with your instant download link. You will also receive an email with the link so you can re-download any time.
What format is the guide?
A single PDF, 32 pages, with all config files referenced inline and in appendices. Every command is copy-pasteable. No account required after download.
Does it cover Mac (Apple Silicon)?
The guide focuses on NVIDIA GPU rigs running Linux. Apple Silicon unified memory makes it an excellent platform for local inference, but the M-series setup process differs significantly and is not the primary focus of this guide.
What license do I get?
Personal use license. Use the guide and config templates for your own projects. Free updates are included -- buyers get a new download link whenever the guide is revised for Ollama or major model updates.