Raspberry pi4 Docker:- gluetun(qBit, prowlarr, flaresolverr), tailscale(jellyfin, jellyseerr, mealie), rad/read/sonarr, pi-hole, unbound, portainer, watchtower.
Raspberry pi3 Docker:- pi-hole, unbound, portainer.
… That’s nuts. I only just graduated to a mini from a pi, I didnt consider a dual GPU setup. Arbitrary budget aside, I should have added an “idle power” constraint too. Reasonable to assume that as soon as LLMs get involved all concept of “power efficient” goes out the window. Don’t mind me, just wishing for a unicorn.
An LLM card with quicksync would be the kick I need to turn my n100 mini into a router. Right now, my only drive to move is that my storage is connected via usb. SATA is just not enough value for a whole new box. £300 for Ollama, much faster ml in immich etc and all the the transcodes I could want would be a “buy now figure the rest out later” moment.
I hope that form of response doesn’t become a trend as scrolling through the wall of text will become irritating fast. But the level of snark is hilarious the first time you see it. I wonder if instead someone could set up a “lmgtfy” but for gpt, a lmgpttfy, so the snark could just be a link.
*adds to wishlist