Funnily, my mind first made me consider pressure by Microsoft to raise the steam version cost to make it a less attractive proposition compared to the windows version, before realizing this was a tariff reaction. Goes to show how I imagine Microsoft’s powers and intentions in my mind :)

Seems he’s using the same orange tan as the other orange guy haha

I didn’t take it as a critique of Ente, not to worry! I’m not affiliated in any way, I just wanted to provide some context to people who may be concerned about the vendor locking aspect specifically.

Of course how you manage your media, your needs and your finances are all a very personal matter, I also self-host my photo backup, but I use ente in a complementary fashion, and I don’t backup everything to it. It just makes it convenient to collect, share and aggregate media between ente members and non-members.

Cheers!

In the case of ente, they have gone above and beyond to give full control to their users of their backing up process and backed up media:

• they provide a sync feature from ente to a local destination on your computer using the desktop app. It can run continuously to reflect all changes to your media and its organization in ente.
• they provide a CLI, so that you can program and implement your own export behavior it seems.

To me, it really shows they care about the users and do their best to avoid vendor lock-in.

And I personally feel much more confident in a company when their business model is a paid one. I’m a very happy customer, I have also convinced multiple people who seem happy too.

Sorry didn’t mean to sound condescending, but capacitors can indeed output their charge at extremely high rates but have terrible energy storage capacity. You would need an unreasonably large capacitor bank, but it is technically feasible as that’s what the CERN has. But in this case batteries are a more suitable option, they can be tuned between energy and power to fit the exact use case more appropriately.

Capacitors, lol

Have you explored your GPU and CPU and memory utilization? On Linux, mangohud is a great tool for this. Verify which component is bottlenecking you performance, you may see something happening when your performance drops.

If something is visible, you may want to target it for an upgrade. If not, something else may be an issue. You may also compare with a fresh setup of nobara just to rule out any misconfiguration or other driver related issues?

Beautiful :)

I see a lot of praise for this game but have not looked a lot into it. How would you describe it and what makes it so good? I’m letting myself be convinced for my next game to play :)

Remove unused conda packages and caches:

conda clean --all

If you are a Python developer, this can easily be several or tens of GB.

True, many games sold physically are still faced with the risk of disappearing, due to DRM…

Quick note, in some countries you can get refurbished steam decks:

https://store.steampowered.com/sale/steamdeckrefurbished/

I think it has potential but I would like to see benchmarks to determine how much. The fact that they have 5Gbps Ethernet and TB4 (or was it 5?) is also interesting for clusters.

Well, in the case of legacy GPUs you are forced to downgrade drivers. In that case, you can no longer use your recent and legacy GPU simultaneously, if that’s what you were hoping for.

But if you do go the route of legacy drivers, they work fine.

I can’t speak about vulkan, but I had an old GTX 680 from 2012, that has worked without issue until a year back or so. I was able to get it recognized by nvidia-smi.

I had it running using the proprietary drivers, with the instructions from here, using the legacy method: https://rpmfusion.org/Howto/NVIDIA#Legacy_GeForce_600.2F700

Is that what you did?

PS: When I mean working without issue I mean gaming on it using proton.

In this case, without clicking any links in the email, why don’t you just simply go to the proton website manually and log in for good measure?

This is an article about the following youtube video: https://www.youtube.com/watch?v=VTsBP21-XpI

Edit: I recommend

Deepseek is good at reasoning, qwen is good at programming, but I find llama3.1 8b to be well suited for creativity, writing, translations and other tasks which fall out of the scope of your two models. It’s a decent all arounder. It’s about 4.9GB in q4_K_M.

Tldw: guy tests the RX 6800 at 1080p, 1440p and 4k across 19 games on Windows 11 vs Nobara 41.

Allegedly, nobara beats windows on all games except 2 (witcher 3 and CS2), across almost all resolutions, by around single digit percents.

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