You do not need a datacenter to run serious experiments. A small but disciplined stack goes a long way.
One reliable Linux box, Tailscale, Docker, a reverse proxy, and a place to store model artifacts already gives you a powerful base. Add a local vector store and you have the ingredients for practical memory-backed assistants.
The key is not complexity. It is repeatability.