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submitted 6 days ago by yogthos@lemmy.ml to c/technology@lemmy.ml
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[-] herseycokguzelolacak@lemmy.ml 3 points 5 days ago
[-] geneva_convenience@lemmy.ml 0 points 5 days ago* (last edited 5 days ago)

AMD has been lying about that every year since 2019.

Last time I checked it didn't. And it probably still doesn't.

People aren't buying NVIDIA if AMD would work too. The VRAM prices NVIDIA asks are outrageous.

[-] herseycokguzelolacak@lemmy.ml 2 points 4 days ago

I run llama.cpp and PyTorch on MI300s. It works really well.

[-] geneva_convenience@lemmy.ml 1 points 4 days ago* (last edited 4 days ago)

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.

[-] herseycokguzelolacak@lemmy.ml 1 points 4 days ago

We have trained transformers and diffusion models on AMD MI300s, yes.

[-] geneva_convenience@lemmy.ml 1 points 4 days ago

Interesting. So why does NVIDIA still hold such a massive monopoly on the datacenter?

[-] herseycokguzelolacak@lemmy.ml 1 points 3 days ago

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.

this post was submitted on 30 Aug 2025
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