Natanox

Like I said it’s less of a problem with KDE, they even got a button to add Flathub specifically in Discover. It’s more of a thing with Gnome and Gnome Software where no “Add Flathub” button exists (and also no GUI to add repos -> they have to look up the whole CLI command), so newer users won’t necessarily be aware that something rather important is missing.

Which Nvidia driver setup do you use? The problems arise with the proprietary driver; if you roll back or use a different kernel than the current default (as specified by the repo) both my brother and I had the unfortunate situation of the driver kernel module missing. Nouveau or NVK probably don’t cause such issues.

No matter which OpenSuse people end up choosing, it’s a super solid decision. Even though it relies on infrastructure by SUSE S.A., a company that unfortunately has ties to the US (mostly hosting with offices and employees in the US) but got its HQ in Europe, it’s the most solid and user-friendly distro out there if you look for rather independent distros (the only user-friendly one that’s fully independent would be Mageia, but that one really isn’t where it would have to be imho). And the existence of bootable snapshots in case something happened is extremely useful. The biggest problems I’ve found are just 2: Problems with the Nvidia driver (especially if you use said snapshots), and Flathub not coming preconfigured (not a Problem in KDE since there’s a button new users can stumble over, but for Gnome you have to know something rather important is missing to look up the command to add it since there isn’t a GUI to add Flatpak repos yet).

Other than that the whole OpenSuse ecosystem is just great.

To my knowledge it isn’t them constantly running that wears them out most, but spinning up and down very often. Weren’t NAS drives designed to never spin down for that very reason?

Well, they arguably can also be used as one big long-term storage. Not sure who’d need to save so much data for a long time, but there surely will be at least some people who do and buy the “modern solution” over old HDDs thinking they’re better in general. As the “family backup” for example, or as cold storage solution in faculties that can be quickly accessed if needed.

Read somewhere about a professor who used SSDs to “permanently” store important data on SSDs (perhaps in the comments of the article above) for a few years. Well, wasn’t that permanent…

More reliable

Heavily depends. If you want to use it as long-term cold storage you absolutely should not use SSDs, they’re losing data when left unpowered for too long. While HDDs are also not perfect in retaining data forever, they won’t fail as quickly when left on a shelf.

I try to like your project really hard given it’s open source, the only proper one in the social media manager category that’s self-hostable at that… but my god, this whole generative AI stuff combined with social media and marketing sounds like the epiphany of sloppy shit.

Depends on which GPU you compare it with, what model you use, what kind of RAM it has to work with, ecetera. NPU’s are purpose-built chips after all. Unfortunately the whole tech is still very young, so we’ll have to wait for stuff like ollama to introduce native support for an apples-to-apples comparison. The raw numbers to however do look promising.

May take a look at systems with the newer AMD SoC’s first. They utilize the systems’ RAM and come with a proper NPU, once ollama or mistral.rs are supporting those they might give you sufficient performance for your needs for way lower costs (incl. power consumption). Depending on how NPU support gets implemented it might even become possible to use NPU and GPU in tandem, that would probably enable pretty powerful models to be run on consumer-grade hardware at reasonable speed.

They would run with 8x speed each. Should not be too much of a bottleneck though, I don’t expect the performance to suffer noticeably more than 5% from this. Annoying, but getting a CPU+Board with 32 lanes or more would throw off the price/performance ratio.

I’m currently looking for this as well. As far as my investigation went right now I’ll probably go for 2x AMD Instinct MI50. Each of them has equivalent to slightly higher performance than a P40, however usually only 16gb VRAM (If you’re super lucky you might get one with 32gb, those are usually not labeled as such though; probably binned MI60). With two of them you got 32gb VRAM and quite the performance for, right now, 200€ / card. Alternatively you should be able to run quantized models on a single card as well.

If you don’t mind running ROCm instead of CUDA this seems like a good bang for the buck. Alternatively you might look into AMDs new line of “AI” SoCs (for example Frameworks Desktop computer). They seem to be really good as well, and depending on your usecase might be more useful than an equally priced 4090.

This. I wholeheartedly concur that corporate “social” media is fucking shit up like hell, however as long as people are socially stuck there they will be around, as as long as that is the case people who need to make a living will have to roll out stuff and communicate with people there.

In fact this is specifically the kind of tool a friend and me looked for but couldn’t find as FOSS until now, although we’d definitely need support for the Mastodon API / Lemmy.

One may argue which platforms to choose (depending on what you want to show people or who you want to reach). But completely abandoning garbage platforms ain’t possible right now, especially for small businesses who need to be seen somewhere.