The Lab
Every guide on this site is written from this cluster — not from documentation. Here's the hardware, what runs where, and the reasoning behind it.
A photo of the actual cluster is coming — the one shot no AI-generated site can fake.
The hardware
Four HP EliteDesk 705 G4 mini PCs, each with an AMD Ryzen 5 Pro 2400G (4 cores / 8 threads). They're palm-sized, quiet enough to sit in an office, and were bought used off corporate leases — the exact strategy from the hardware guide. No dedicated GPUs anywhere in the cluster: everything, including AI inference, runs on CPU.
| Node | Machine | CPU | RAM | Typical role |
|---|---|---|---|---|
| Node 1 | HP EliteDesk 705 G4 | Ryzen 5 Pro 2400G | 16 GB | Cluster services, monitoring stack |
| Node 2 | HP EliteDesk 705 G4 | Ryzen 5 Pro 2400G | 8 GB | Ollama inference worker |
| Node 3 | HP EliteDesk 705 G4 | Ryzen 5 Pro 2400G | 8 GB | Ollama inference worker |
| Node 4 | HP EliteDesk 705 G4 | Ryzen 5 Pro 2400G | 16 GB | Ollama inference, heavier services |
Running Proxmox VE 9.2 as a four-node cluster. Measured power-draw and monthly-cost numbers are getting their own post — real kill-a-watt readings, not spec-sheet estimates.
What runs where
Almost everything lives in LXC containers rather than VMs — the reasoning is inVM vs LXC. Each service below links to the guide that shows you how to build the same thing.
Why it's built this way
Three principles, learned the slow way. Used mini PCs beat new towers — the performance-per-dollar of off-lease business machines is unbeatable, and four small nodes teach you clustering in a way one big box never will. CPU-only is a feature — it keeps power draw and noise down, and proves how much of a homelab (including local AI) genuinely doesn't need a GPU. Everything gets documented — the cluster feeds asecond-brain knowledge vault, and the posts here are that vault's public face.
Want to build something similar? The Start Here roadmap walks the whole path in order, from first hardware to a monitored, backed-up cluster.