Hello, I’m quite new to the self-hosted experience, and so far I’ve been running my services from a RPi3b, and I’m looking to upgrade.
One of requirements is that the system is silent and cheap to run. Also, it should be mostly self contained. My Pi is in a passive cooled aluminum case.
So I’ve been looking at options and stumble upon the Bmax N1 plus, it’s a cheap, passive cooled, low power Celeron machine with a bunch of internal storage options. I’ve seen a couple of critics in yt saying that is too slow for console emulation, but how about running services?
Other option I’ve checked out was the Zima board, but the whole naked computer aspect is not particularly to my liking and I don’t have the tools to build a nice case for it.
I’m mostly interested in running home assistant and jellyfin.
I got a Lenovo ThinkCentre M910q Tiny Intel i7-7700T on eBay for just under $200 USD. Though you can find slightly older less powerful ones for a bit cheaper. It does have a fan, but stays generally pretty quiet unless it’s under a super load. It’s easy enough to add an M.2 drive and get an 2.5" drive enclosure (I got on amazon).
I agree that x86_64 architecture is much more versatile than arm.
I second this. Used x86 mini PCs are a much better long-term choice than a ARM SBC unless you need GPIO or something, and they’re cheap. Even the 4th gen i5 models under $100 sip electricity and are quite performant for home server tasks.
Thanks! now I’m looking at fanless N100 and N200 options from AliExpress. I really can’t handle fan noise…
These seem to be intended for pfsense and routers, any experience running HA on them?
Those mini PCs are actually have extremely quiet fans at idle and you generally won’t notice the noise. The good part about an actively cooled system is that you have the ability to load up the machine without throttling in case there’s a sudden activity spike.
I haven’t run HA bare-metal but I have run HA on Proxmox and I’ve run Proxmox on these mini PCs. In my use case they supplement the main rack server in my cluster.