Oh interesting. I’ll give gdm a try and see if that gives any joy. Thanks for this tip, will return tomorrow with update on this particular change

Update: alas, no dice for this change.

Yeah, I think I’ll go with proxmox as a first attempt — it seems to fit what I’m looking for and the feedback here has been pretty positive on that front. My main concern now is figuring out how to provision the hdds so that a jellyfin lxc can utilize it, nextcloud could use it, and I can save (configuration) backups to it. I’m comfortable with zfs in general (run that on my desktop), but I was under the impression that raid10 would be more performant with the same redundancy, when using 4 disks in raid10. Any one disk could fail, writes are at the speed of the disk because of mirror, and reads are 2x. I lose usable disk space, but I think 16tb is enough for me (for now of course haha). Am I wrong though on the zfs vs raid10? I guess actually I could use zfs, create a single pool with two mirrored vdevs. I am not sure how that would affect future growth, but should do really well for now. Does that sound like a reasonable thing to do, in your opinion?

Amazing, thank you! I think I’m gonna have to be okay with not nailing it on the first go and trialing it out the next few days. Step one sounds like proxmox to me :)

Hey, thanks so much for the response, this is great! Love the idea of offloading ai workloads to their on vms to make facilitating managing resources easier.

Also, big thanks for the recommended software — very helpful list for me to look through, especially on the AI front. Do you have any notes on configuration for those in particular?

Thanks for the reply!

My understanding was that with only 4 drives, raidz would lower read throughput and not add much space / redundancy. Is that not true? Would you mind giving me a few more details on how you’d set up a 4x8tb raidz array (or could point me to a tool / resource that could help me? I haven’t been able to fully convince myself either way)

You can, of course, feel free to show us how you’d implement this in python. It’s fine to say you would do it differently, but don’t stop there, show how/what you would do differently. Add to the discussion, like the person you were replying to did, don’t detract.

Bookmarked and will come back to this. One thing that may be if interest to add is for AMD cards with 20gb of ram. I’d suppose that it would be Qwen 2.5 34B with maybe less strict quant or something.

Also, it may be interesting to look at the AllenAI molmo related models. I’m kind of planning to do this myself but haven’t had time as yet.

That’s a good point, I don’t remember much ghosting on those. I guess it might depend on the phosphor used. If it was tuned to only fluoresce for that imperceptible off time and no longer it would probably work.

I guess it’s a similar idea to quantum dots, but if those quantum dots fluoresced for just a bit longer.

I think this would result in some pretty intense ghosting and other undesirable artifacts.