geneva_convenience comments on Huawei enters the GPU market with 96 GB VRAM GPU under 2000 USD, meanwhile NVIDIA sells from 10,000+ (RTX 6000 PRO)

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[–] geneva_convenience@lemmy.ml 0 points 1 year ago* (5 children)

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.

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[–] herseycokguzelolacak@lemmy.ml 2 points 1 year ago (4 children)

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

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[–] geneva_convenience@lemmy.ml 1 point 1 year ago* (3 children)

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.

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[–] herseycokguzelolacak@lemmy.ml 1 point 1 year ago (2 children)

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

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[–] geneva_convenience@lemmy.ml 1 point 1 year ago (1 child)

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

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[–] herseycokguzelolacak@lemmy.ml 1 point 1 year 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.

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