ROCM is still in it’s infancy stage. Literally ROCM isn’t supported for my 6700 XT, so I had to return to Google Colab to work on my AI thesis project.
ROCM support makes me angry but NVidia also fumbled their drivers too. Their is no good option so pick your poison. I run ROCM right now with a work around on my 6900 XT to get the card detected. And i have also gone from 10 It/s to 4 or even 2 with updates. Shit sucks.
ROCM wasn’t a thing when I bought. You need(ed) NVidia for machine learning and other GPGPU stuff
Same for me, had to buy an Alienware laptop with an NVIDIA GPU during my PhD for some GPGPU coding I had to do as CUDA was pretty much the only choice back then and OpenCL was a joke in terms of performance and wasn’t getting much love from GPU manufacturers. But right now, I know for sure I won’t ever buy an NVIDIA GPU again, ROCm works wonderfully well even on an APU (in my case, a Radeon 680M integrated GPU) and it’s also future-proof since you’re almost writing CUDA code so if you ever switch to an NVIDIA GPU again you mostly will just have to replace “hip” with “cuda” in your code + some magic constants (warp length in particular).
“removed” who bought Nvidia here.
I know it’s 4chan banter and generally agree with anons points, but here goes:
“Based” who bought AMD here.
ROCM is still in it’s infancy stage. Literally ROCM isn’t supported for my 6700 XT, so I had to return to Google Colab to work on my AI thesis project.
ROCM support makes me angry but NVidia also fumbled their drivers too. Their is no good option so pick your poison. I run ROCM right now with a work around on my 6900 XT to get the card detected. And i have also gone from 10 It/s to 4 or even 2 with updates. Shit sucks.
Same for me, had to buy an Alienware laptop with an NVIDIA GPU during my PhD for some GPGPU coding I had to do as CUDA was pretty much the only choice back then and OpenCL was a joke in terms of performance and wasn’t getting much love from GPU manufacturers. But right now, I know for sure I won’t ever buy an NVIDIA GPU again, ROCm works wonderfully well even on an APU (in my case, a Radeon 680M integrated GPU) and it’s also future-proof since you’re almost writing CUDA code so if you ever switch to an NVIDIA GPU again you mostly will just have to replace “hip” with “cuda” in your code + some magic constants (warp length in particular).