Ask HN: What desktop to buy for home based AI/ML in 2023
This year I started running some AI/ML experiments at home using Google Colab. However, I want to start using my own compute for some of these.I was thinking of buying the following PC: https://www.palicomp.co.uk/amd-velocity-fac10 and upgrading to a 3080 and i7 as I do a lot of image analysis and it would be helpful to be able to parallelism some operations.
What does HN think of this and these specs? Any recommendations? I'm trying to keep my budget under £2000 unless going a bit over that would allow for a real increase in processing power.
8 comments
[ 7.9 ms ] story [ 146 ms ] threadAMD Ryzen 9 processors definitely seem worth looking into though, thanks.
1. Disconnect during training 2. Not enough storage
I tends to work on somewhat mid/large models and TB+ datasets so I run into these issues frequently enough that it's become a hurdle I want to avoid going forward. I suspect this might make online compute expensive too though I've not looked at pricing plans. Where would you recommend buying personal cloud compute?
4090
3090
3090 Ti
A30
A40
A100
H100
If budget allows, I would pick RTX3090, if budget is too tight, look at RTX3080 or RTX3080Ti 12 Gb vram models. 10 gb vram models can be too small in the future or if you plan to use it for image processing.
I also am working mainly with image processing and segmentation, we mainly use RTX3080 and RTX3080Ti GPUs.
It should also be cheaper to pick components and build PC yourself.