Okay so let me add some extra comments.
If you think more ppl will work with the computer, take into account that datasets may ocuppy a lot.
For working with audio the datasets I’ve played with are very contained (like MUSDB and so).
So you can start with 1 Tb nvme. If you go for audiovisual and need to store video you will lack hard disk.
I think you can go for 32 Gb of RAM in audio field.
Using HDD is a very strong bottleneck. Prob 2 times slower.
You can just check nvme specs vs sdd too and you will see nvme is way faster.
Given your budget, PCIe 4.0 is too expensive atm.
Threadrippers are from  12 to 16 cores (2 threads/core) thus between 24-32 threads.
Multiprocessing lauches 1 process per thread. Therefore the more cores the faster dataloading.
AMD usually offers more pci lanes than intel, where many of their cpus are capped. Although I didn’t try such config like @Anton suggest so cannot give u more hints. However, as he mentions, you don’t need to buy last gen necesarily.
For the motherboard you can look for something with 2 gpu slots so that you can buy 1 gpu when you have some extra money.
In terms of GPUs, 3090 is awesome for both, the amount of VRAM, and the speed.
It’s kinda 50% faster than previous gens but it’s very expensive too.
You need something with at least 12 Gb of VRAM as a U-Net already burns 9 or so.
Atm I find the market a bit ill. New gen GPUs are weirdly expensive and not really worth for deep learning due to the VRAM but 3090. Besides the market is kinda out of stock.
The 1080 ti used to be really worth in terms of quality/price. In fact Nvidia retired those due to that. I saw  this in amazon USA

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If that were the price, you can get 2 of these until you can afford.
Otherwise I wouldn’t know what to recommend you.
With a 3090 I guess it’s around 2k5 or so. Dunno if you have to pay taxes or not. W/o taxes can be 2k more or less.
Good luck