4 ms·

Exactly. I recently started a NN side project. The process for setting up PyTorch was to run `pacman -S cuda` and `pip install torch`. I was using a GTX 1060. I

Exactly. I recently started a NN side project. The process for setting up PyTorch was to run `pacman -S cuda` and `pip install torch`. I was using a GTX 1060. If it was a project with a bigger budget, I could have rented servers from AWS with all the software preinstalled in no time. I don't even know if it would have been possible for me to do it with AMD, even if I owned an AMD graphics card. People like me are small potatoes to AMD, but surely it's hard to make significant inroads when it's impossible for anyone to learn or do small projects on ROCM, and big projects can't rely on ROCM just working.

jacquesm 3y ago
People like you are small potatoes until you have some measure of success and then suddenly you're burning up GPU hours by the truckload and whatever you're used to you will continue using.
- frognumber 3y ago
  I'm building a major open source stack on top of NVidia because of how bad my experience with AMD was. - I bought a ROCm-supported card. Said so on the box. Paid out-of-pocket. An NVidia vendor had sent me a free card, for comparison. - It never worked well, and a bit more than month after I bought it, AMD dropped support. Money down the drain. - AMD itself was a black hole for any sort of contact or support. I'm pretty sure this was a legal violation, as the card wasn't fit for the advertised purpose, but no one took responsibility, and small claims isn't worth it. I'm very supportive of open, but there's enough wrong at AMD that I'm not hitching myself to that wagon, probably ever.
  - lmm 3y ago
    Depending what country you're in, small claims might be surprisingly straightforward. I filed a claim in the UK a couple of years back and while the webapp was very early-2000s it all worked perfectly and didn't take much work.

4 ms·

Exactly. I recently started a NN side project. The process for setting up PyTorch was to run `pacman -S cuda` and `pip install torch`. I was using a GTX 1060. I

by zucker42 3y ago

jacquesm 3y ago
People like you are small potatoes until you have some measure of success and then suddenly you're burning up GPU hours by the truckload and whatever you're used to you will continue using.
- frognumber 3y ago
  I'm building a major open source stack on top of NVidia because of how bad my experience with AMD was. - I bought a ROCm-supported card. Said so on the box. Paid out-of-pocket. An NVidia vendor had sent me a free card, for comparison. - It never worked well, and a bit more than month after I bought it, AMD dropped support. Money down the drain. - AMD itself was a black hole for any sort of contact or support. I'm pretty sure this was a legal violation, as the card wasn't fit for the advertised purpose, but no one took responsibility, and small claims isn't worth it. I'm very supportive of open, but there's enough wrong at AMD that I'm not hitching myself to that wagon, probably ever.
  - lmm 3y ago
    Depending what country you're in, small claims might be surprisingly straightforward. I filed a claim in the UK a couple of years back and while the webapp was very early-2000s it all worked perfectly and didn't take much work.