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That’s exciting news, but I can’t help but feel that at least in my field (machine learning), Nvidia is far more sticky than just their compute dominance. As lo
by atty 5y ago
That’s exciting news, but I can’t help but feel that at least in my field (machine learning), Nvidia is far more sticky than just their compute dominance. As long as CUDA is Nvidia proprietary, I just don’t think our team can afford to move.
I’m seeing lots of very impressive movements from Tensorflow and Pytorch to support ROCm, but it’s just not at a level yet where it would make good business sense for us to switch, even if AMD GPUs were 50% faster than Nvidia. And it seems like Nvidia is improving and widening their compute stack faster than AMD is catching up.
- smoldesu 5y agoI'm right there with you, I have an Nvidia GPU on all my machines too. With that being said, however, there are plenty of software-agnostic workloads that I run that could benefit from a truly open, powerful GPU.