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> there is also second mover advantage, where they just need to copy-cat the best part of nvidia's ML stack and dont waste time figuring out what works/what doe
by msla 3y ago
> there is also second mover advantage, where they just need to copy-cat the best part of nvidia's ML stack and dont waste time figuring out what works/what doesn't work.
Seems like patents would stop that.
- slt2021 3y agodidn't know nvidia patented matmul and dot product
- m00x 3y agoThere's a lot more involved than matmul and dot products.
- bmicraft 3y agoDidn't the Google v Oracle lawsuit end up confirming that you can't patent an API?
- slt2021 3y agoAMD doesnt have to implement CUDA api, they just need to make sure their compute framework works well with pytorch/tf/MLIR or whatever high level framework is being used. Cuda itself will change over time, so no reason for AMD to pick cuda, because nobody writes CUDA kernels by hand, they use high level frameworks
- orra 3y agoNo, it confirmed reimplementing an API is not copyright infringement. The patent claims were rejected simply because the Google implementations were written in such a way the patents did not apply.