4 ms·

I am not seeing AMD putting any serious contenders for CUDA though.

• xondono 6y ago
  They don’t really need to. Nvidia will have to validate and launch all of it’s PCIe4 on Epyc/Ryzen processors, so it’s not like AMD won’t benefit from the Deep Learning hype
• zucker42 6y ago
  Isn't HIP+ROCm a serious "competitor" to CUDA? You can convert your code automatic from CUDA to HIP. At least that's why the advertising says; I haven't used it myself. Plus, PyTorch and Tensorflow have AMD support, I thought.
  • TomVDB 6y ago
    It may convert your own code, but it can’t convert the CUDA libraries. It also doesn’t help that AMD has stopped supporting ROCm for the current consumer GPUs.
    • slavik81 6y ago
      Which CUDA libraries are you referring to? NVIDIA libraries like cuBLAS? There are ROCm libraries for a subset of those, but it's definitely a work-in-progress.
• butterisgood 6y ago
  They might not have to, as others have pointed out. Intel, on the other hand, is fighting the multi-front battle against a lot of competitors. It’s great for consumers, but Intel might have to decide to focus too.