> Giving away that secret sauce in their drivers, so that AMD could make their cards seamlessly compatible would probably be a huge mistake from a business perspective for Nvidia.
I've seen this argument a lot but never from the ML perspective - and I don't think it makes sense with ML.
Nivida's advantage is ML is CUDA and cuDNN, and the huge set of tools built on them. These aren't the driver, but a layer above it.
I don't really understand the "secret sauce" argument for the drivers at all, but I assumed it applied to gaming somehow. I can't think of how it applies to ML though.
I've seen this argument a lot but never from the ML perspective - and I don't think it makes sense with ML.
Nivida's advantage is ML is CUDA and cuDNN, and the huge set of tools built on them. These aren't the driver, but a layer above it.
I don't really understand the "secret sauce" argument for the drivers at all, but I assumed it applied to gaming somehow. I can't think of how it applies to ML though.