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CUDA is not as important as Tensorflow, PyTorch and JAX support at this point. Those frameworks are what people code against, so having high quality backends fo

CUDA is not as important as Tensorflow, PyTorch and JAX support at this point. Those frameworks are what people code against, so having high quality backends for them are more important than the drivers themselves.

pjmlp 6y ago
Not everyone is using GPGPU for Tensorflow, PyTorch and JAX.
- xiphias2 6y ago
  Can you give me another GPGPU framework that puts in the effort to have up-to-date benchmark comparisions between different hardware? Just as an example I just bought an M1 laptop. Even PyTorch CPU cross-compiling hasn't been done properly, and TensorFlow support is full of bugs. I hope that with M1X it will be taken more seriously by Apple. I understand your point (Julia is a great example), but trying to support a rarely used hardware with a rarely supported framework is just not practical. (Stick with CUDA.jl for Julia :) )
  - pjmlp 6y ago
    For example, the guys at OTOY couldn't care one second about PyTorch, TensorFlow. https://home.otoy.com/ https://home.otoy.com/
    - xiphias2 6y ago
      What does it have to do with the AI chip in the article? That looks the opposite of GPGPU (rendering real graphics)
      - pjmlp 6y ago
        Nothing, CUDA is used for graphics programming as well.