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AMD adds support for PyTorch development on select RDNA 3 GPUs with ROCm 5.7

65 points| asparagui | 2 years ago |community.amd.com

8 comments

NBJack|2 years ago

This is fantastic progress. I actually like Nvidia, but anything that levels the playing field and encourages competition here would be a big win.

qris|2 years ago

2023-06-02: Lisa Su saved AMD – Now she wants Nvidia's AI crown https://news.ycombinator.com/item?id=36164055

2023-08-09: Making AMD GPUs competitive for LLM inference https://news.ycombinator.com/item?id=37066522

2023-09-26: ROCm is AMD's priority, executive says https://news.ycombinator.com/item?id=37663194

2023-10-06: AMD may get across the CUDA moat https://news.ycombinator.com/item?id=37793635

NedCode|2 years ago

"AMD is determined to continue to make AI more accessible to developers and researchers that benefit from a local client-based setup for ML" it seems false. To me AMD is under investing in that regard for many years now.

pjmlp|2 years ago

Meanwhile, on CUDA side, pick any NVidia card, not a couple of selected ones.

Reubend|2 years ago

Is RocM only working on Linux for now? And if so, it is working alright inside of WSL?

blovescoffee|2 years ago

The article mentions 48gb workflows. Presumably two cards attached? What does this look like in the AMD world, I'm used to what Nvidia offers

jszymborski|2 years ago

I think that's a reference to the AMD Radeon Pro W7900 which has 48gb vRAM

https://www.amd.com/en/products/professional-graphics/amd-ra...

manifoldgeo|2 years ago

ROCm? I hardly KNOWm!

I'm sorry, I know this is a dumb and off-topic comment more appropriate for Reddit, but I couldn't resist. If you check my comment history, you'll see I don't usually do this. Please forgive.