Can you train on it too? I tried Pytorch on AMD once and it was awful. They promised mountains but delivered nothing. Newer activation functions were all broken.
llama.cpp is inference only, for which AMD works great too after converting to ONNX. But training was awful on AMD in the past.
It takes a long time for large companies to change their purchases. Many of these datacenter contracts are locked in for years. You can’t just change them overnight.
Can you train on it too? I tried Pytorch on AMD once and it was awful. They promised mountains but delivered nothing. Newer activation functions were all broken.
llama.cpp is inference only, for which AMD works great too after converting to ONNX. But training was awful on AMD in the past.
We have trained transformers and diffusion models on AMD MI300s, yes.
Interesting. So why does NVIDIA still hold such a massive monopoly on the datacenter?
It takes a long time for large companies to change their purchases. Many of these datacenter contracts are locked in for years. You can’t just change them overnight.