I think more important is compute per watt and idle power consumption than raw max compute power.

Found the spreadsheet https://goo.gl/z8nt3A

And the source: https://www.hardwareluxx.de/community/threads/die-sparsamsten-systeme-30w-idle.1007101/

Still you can calculate how much you will save with 2w power reduction with selling this one and buying different NAS.

You can reduce the disk idle time after access to 5-15 min for better power saving.

Maybe you are looking at the wrong thing. CPU + motherboard controllers idle state matters more than spun down hdds

I saw a spreadsheet somewhere of a lot of cpu + motherboard combinations with idle power consumption for ultra low energy NAS optimisation.

Modem translates fiber signals / DSL into twisted pair cable

Acces point translates twisted pair into wifi

I think you are looking for all in one router

For AI/ML workloads the VRAM is king

As you are starting out something older with lots of VRAM would be better than something faster with less VRAM for the same price.

The 4060 ti is a good baseline to compare against as it has a 16GB variant

“Minimum” VRAM for ML is around 10GB the more the better, less VRAM could be usable but with sacrefices with speed and quality.

If you like that stuff in couple of months, you could sell the GPU that you would buy and swap it with 4090 super

For AMD support is confusing as there is no official support for rocm (for mid range GPUs) on linux but someone said that it works.

There is new ZLUDA that enables running CUDA workloads on ROCm

https://www.xda-developers.com/nvidia-cuda-amd-zluda/

I don’t have enough info to reccomend AMD cards

!unixsocks@lemmy.blahaj.zone

Every 5 minutes the graphical stack crashed for me.

If you want to feel like a real hackerman you could try to doctor the website by inspect element.