I use PopOS and I wonder does the TPM processor in my CPU get used for anything out of the box? If not, what could it be used for? Have you guys got practical advice?

Any platform. What are your favourites and what do you recommend?

I just saw the GamersNexus benchmarks and I wondered to myself, why do they have so many problems with Nvidia on Bazite? I've used PopOS with my RTX 30 graphics card and I've essentially had performance parity with Windows.

Do you guys think they misconfigured something in the background or do you think that the driver has just gotten worse? What are your experiences?

For a long time, I used Syncthing for my Joplin notes. It was running as a Docker image on my TrueNAS server. The notes themselves were on the TrueNAS server, and from there, Syncthing would sync it to my PC and laptop, for example.

I am annoyed, however, at some desyncing issues. Have you guys got ideas on how to better solve this?

I ask this because I think of the recent switch of Ubuntu to the Rust recode of the GNU core utils, which use an MIT license. There are many Rust recodes of GPL software that re-license it as a pushover MIT or Apache licenses. I worry these relicensing efforts this will significantly harm the FOSS ecosystem. Is this reason to start worrying or is it not that bad?

IMO, if the FOSS world makes something public, with extensive liberties, then the only thing that should be asked in return is that people preserve these liberties, like the GPL successfully enforces. These pushover licenses preserve nothing.

For non esports stuff, do you think high refresh rate monitors, 144Hz for example, make sense?

The difference between 30 FPS and 60 FPS is titanic. Does that carry over to higher than 60 FPS or do you get diminishing returns?

Yes, I've heard it a million times by now. AMD drivers on GNU/Linux are great for anything that's related to display or gaming. But what about compute? How is the compute experience for AMD GPUs?

Will it be like Nvidia GPUs where, no matter what I do, as long as programmes support hardware acceleration, that they supports my GPU? Or is there some sort of configuration or trickery that I need to do for programmes to recognise my GPU?

For example, how well is machine learning supported on AMD GPUs, like LLMs or image generation?

I know from past benchmarks that, for example, Blender's performance has always been worse on AMD GPUs because the software quality just wasn't there.

I use my GPU mostly for production tasks, such as Blender, image editing, some machine learning inference, such as text generation, image generation, etc. And lastly, video games.

With this use case in mind, does it make sense to switch to AMD for a future production first, video games second PC? Or, with that use case, should I just stick to Nvidia's price gouging and VRAM gimping?

I have a Gen1 Threadripper system. I have a mixed gaming, but mostly workstation workload. In modern, unoptimised games my GPU (rtx3000 product line) is already being CPU bottlenecked, but only slightly, 5-10%. And it has too little VRAM for properly accelerating my workstation tasks.

I'd like to upgrade my hardware with an AMD 1st gen DDR6 CPU (prob. 2027) and buy an according GPU in the same year. I'm planning a usage duration for at least 10 years and then probably same thing but with DDR8.

My priority is to have an excellent price/performance ratio. I only want to buy something new, if I know it will last me a long time.

How good is my plan at accomplishing my goal? I'd like some feedback please. How would you go about it?