Dran

I use teams for work every day (calls and dm features) via Ubuntu 24.04 LTS with X11/awesomewm/pulse via Firefox and have no issues

That suggests that as long as you’re using a reasonably modern version of Debian with a sane config you should be fine

I like the long-term overlapping security release that server-first focus gives me. I rely on it even. My daily driver is built from Ubuntu server headless LTS, X11, Awesomewm. My automation really only needs updates every 5 years, and I get the option to update it every 2. The same script I wrote to remove the esm motd message 10 years ago still works. I don’t know what else people want from canonical.

Long-time (and current) Ubuntu daily-driver here. When I first started dabbling 20 years ago, Ubuntu had unparalleled out-of-the-box driver support for things that required third-party drivers. It gave them an era of dominance that had a secondary effect of “if I have a Linux problem and Google it, Ubuntu guides are the most likely to exist” which kept me using it to this day. Is it the best? Probably not, but I have twenty years of automation built around it and it’s comfortable.

The people that still use it today are the functional tinkerers. I don’t generally engage with these threads because I assume that every user making these posts isn’t searching for the answers that are already out there in previous threads. The paths that lead to Ubuntu aren’t the same paths that the “I use arch btw” people take. It’s a case of the kinds of users that choose Ubuntu, don’t go out of their way to interject that they’re Linux people. We’re just regular people that don’t want an adversarial relationship with our operating system.

Snap, esm, Ubuntu pro, they all get out of your way with a simple command or single line in a config file, and they respect the same signaling they’ve used since each product’s inception. I want a product that is both open-source and financially sustainable, because it leads to stability in my life. If windows had easily togglable telemetry and functional automation I would never have switched in the first place.

My wife and I have both been using this setup for over a year and we’ve never looked back

My solution to this problem was to buy a $180 Dell workstation off eBay and install Ubuntu on that as my main workstation. My gaming desktop is now in the basement and runs sunshine. Moonlight over LAN is basically native, and solves the annoying reboot to switch tasks scenario.

If you ran a raw Ubuntu/fedora/whatever, you can use qemu/libvrt to run small virtual machines as required. You start and stop them with virsh, define them with simple xml files, and can easily automate the creation/destruction of them if desired.

if you’re automating the creation and deployment of vms, and the downstream operating systems, and not doing some sort of HA/failover meme setup… proxmox makes things way more complicated than raw libvirt/qemu/kvm.

Maybe for the initial setup, but nothing is more repeatable than automation. The more manual steps you have to build your infra, the harder it is to recover/rebuild/update later

Don’t get me wrong, I use libvrt where it makes sense but why would anyone go to proxmox from a full iac setup?

I do 2 at home, and 3 at work, coming from 4 at both and haven’t looked back.

I do this with awesomewm. You define window startup behavior in the main config. Applications can have static behavior to start in certain places or will default to “wherever my cursor currently is”. I suspect i3 has similar functionality

The support isn’t exclusivity for native 32 bit cpus, it’s for 32bit libraries that compatibility applications like wine/proton depend on to run 32bit windows executables

There are JS based torrent downloaders. That would work for the normies to get files, but you’d still have to find a way to convince people to host files on the backend. It’d probably take a full-on desktop client wrapper with an embedded torrent client but that’s a pretty hard sell for the average nerd if you’re upfront, and probably a harder sell if you’re dishonest about it.

99% of the waiting time in my case is either waiting for file copies or waiting on SAP programs to run.

I wish I had low hanging fruit like that to go after.

I copy the install media locally. Although there is probably a noticable performance hot to running my main VM disk over the network.

Building a fully functional SAP system just takes that long in raw install time when your process also includes a sufficiently large system copy, and your hardware isn’t bleeding-edge.

It’s a massive application stack

I wrote and maintain a zero-to-working SAP HANA/S4 installer in pure bash.

It takes a redhat compatible from base install to a working, production-ready SAP system in about 5 hours.

It’s like ~9,000 lines of bash

I’m with you that he doesn’t strictly need a gpu, but if the price is right (free from old gaming PC, cheap from a friend’s old gaming PC, cheap old workstation card, etc) I stand by that he probably wants one. A lot less fussy, a lot more capable, nad nvenc does better quality encoding at lower bitrates (and probably less power too if you take into account time spent encoding at full tilt.)

Generally power supplies are the most electrically efficient at 20-60% utilization, so there’s no issue with over-provisioning power, other than the (generally minor) upfront extra cost, which might very well pay for itself in the first months/years of usage. I’ll take a look and see what I can find on those sites.

Edit: okay, trying to shop through google translate / currency calculator is actually aids so I’m gonna teach a man to fish instead. This is what I should have done from the start anyway.

Power supply: Anything from a decent brand, at basically anything >450W. a 650W or 850W is totally fine if it’s at a decent price. They only draw the power they need, they don’t just constantly pull 850W if the downstream components aren’t calling for it.

CPU: 12400 is a fine cpu for what you’re doing. You’ll transcode at 720p no problem, 1080p maybe a single stream in real-time. I wouldn’t bank on more than that. Only downsides here are the relatively shallow core counts if you ever expanded into other workloads. Without access to used xeon boards/cpus, it might be a reasonable choice though. What I would say is look for something older but with more cores/threads if you can. For example, a 10900 or even 10700k would probably be a better server cpu than a 12400.

Memory: DDR4 platforms are a great way to save money, as long as you aren’t planning on expanding to inferencing on cpu. Get as much as you can. 32-64gb of ddr4 should be dirt cheap, especially if you find a cheap motherboard with 4 memory sockets.

Motherboard: If you want this thing to be versatile, you want 2x pci-e slots. Old gaming full-sized ATX boards are the way to go here. 1 slot for an HBA, 1 slot for a GPU, and that should be all you need. Bonus for as many open sata sockets as possible. 6-8 is pretty typical on 10th-12th gen gaming ATX boards.

GPU: gpus will be much more efficient at transcoding than an igpu, especially from older intel CPUs. A 1050, 2060, 3050, basically anything from the 10-series onward has a decent nvenc encoder that would work well with plex/jellyfin. My goto is generally old workstation cards, I use a p620 myself and it handles a single 4k encode job no problem. I’m not sure if they’re viably purchasable anywhere in your area, but I’d definitely look out for a P620, P1000, or T400. Great value in those cards.

Drives/HBA: there are inexpensive LSI HBA cards to expand how many drives you can attach to a system if you need them, all you need is a spare pci-e slot and a place to physically mount the drives. The cheapest way to start here is to look for a motherboard with 4-6 sata slots and use those. Hardware raid is functionally dead these days in the real world, just use zfs or mdadm under linux to create an array with your desired level of resiliency/capacity.

Once you’ve priced out what it would cost to buy all of this new, look for prebuilt gaming PCs and office PCs that might be able to be expanded to fit these requirements. Prices look kind of steep on those markets you listed, but I’m sure something exists if you look hard enough.

I am also curious

When ML training farms run out of new text to train on, “they” may very well want your original writing too…