My current system is running on an old 2U HP rackmount server with dual 16-core AMD Opteron-6262HE CPU’s and two RAID-5 arrays (fast SSD array and slow 2.5" HDD array). There are generally 5-6 VMs running under a Linux master at a given time but none of them are using a whole lot of CPU cycles.

In general, it’s noisy but fairly effective for my needs.

I’m looking at the future and what might be good replacement that offers a blend of power-efficiency, flexibility, and storage cost.

In particular, I’d like to:

  • Ditch the 2.5" HDD array in favor of an efficient separate storage system, preferably an attached NAS with 3.5" disks on RAID5 but probably actually networked and not USB based (both for reliability and also so I can potentially provide storage directly to stuff running on separate SBC’s etc). A storage system I could drop in now and still use after I upgrade the compute system would be great

  • I’d like to keep the SATA-SSD array for stuff that needs faster disk, or possibly move up to a RAID’ed M2/NVMe.

  • Move up to a more modern CPU that has a good Power-per-watt balance. 8-16 cores totally is probably good if that can be reasonably power efficient for idle cores etc, but dropping some VM’s to run stuff on the aforementioned SBC’s is also an option

  • Still be rack-mounted for the main system, but not so freaking loud, and actually fit in a standard 24" deep rack

  • Potentially be able to add a decent GPU or add-on board for processing AI models etc

Generally what it will be running is a bunch of VM’s for stuff like NextCloud, remote-admin software, Media servers (Plex/Jellyfin), a Fileserver, some virtual desktops and various other fairly low-power VMs, BUT it’d be nice if I could add the dGPU or something with the horsepower for AI processing and periodic rendering/ripping/etc

I’m sorry debating on whether might make more sense to move all storage to BAD, then just replace the always-running stuff (NextCloud, Plex,Fileserver) with SBC’s so that they’re fairly easily swappable if something fails.

  • just_another_person@lemmy.worldEnglish
    0·
    6 days ago

    You’re asking for a lot of different things that don’t align, so instead of trying to guess what you need, let me just throw a few things out there:

    • if you want transcoding that isn’t constantly tied to GPU, you want an AMD chip of some sort. If you’re trying to be efficient, and APU model.
    • you probably want to just merge all your data into a single disk array. Running multiple on one system is pointless and inefficient.
    • separate your CPU needs from storage. Like you said, maybe you just need an ultra low power NAS, and then different machine to handle compute.
    • skip SSD for any network storage. Yes it’s more power efficient, but if you’re talking bulk storage, you’re wasting resources for smaller volumes where it won’t matter of transferred over the network. SSD is good for local-only for the most part.
    • BearOfaTime@lemm.eeEnglish
      0·
      5 days ago

      Good points.

      Also, SSD isn’t always necessarily more power efficient than spinning disks. It depends on the specific disks, and the use-case.

      I’ve seen a table posted on Lemmy with data on different drive power consumption for idle, Read, and write. Sometimes SSD consumed more power.

    • trankillity@lemmy.worldEnglish
      0·
      5 days ago

      I think you mean an Intel CPU for transcoding. Pretty much every piece of software can use QuickSync for hwaccel. My Celeron NAS can handle 3 simultaneous Plex transcodes as well as a 5-camera Frigate setup without breaking a sweat.

      To OP - if you want energy efficiency AND ML, you will want pre-baked models that can be used on an edge compute device like Google Coral.