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There's really no reason AMD themselves couldn't hire 5 developers to integrate with TensorFlow. I agree it's a vicious cycle, but I feel if they release suppor

There's really no reason AMD themselves couldn't hire 5 developers to integrate with TensorFlow. I agree it's a vicious cycle, but I feel if they release support for tensorflow it wouldn't take long to shift people from Nvidia to AMD. AMD has a significantly cheaper offering, and no company wants to be tied by only one supplier. Considering how small of a dent that would make in their bottom line (financially), it's really amazing they haven't yet... The potentially upside is easily in the tens (if not hundreds) of millions of dollars. So definitely, I agree they intentionally have decided to not support deep learning. For the life of me, I don't know why.

ansible 10y ago
There's really no reason AMD themselves couldn't hire 5 developers to integrate with TensorFlow. The problem is that it isn't just TensorFlow. It is also Caffe, Theano, Torch, etc., etc., etc.. For deep learning, Nvidia GPU acceleration is almost a given.
- lettergram 10y ago
  If AMD can write an abstraction layer similar to CuDNN, and write the initial integration to TensorFlow and Caffee I think they'd gain enough community support to finish out the rest. 80% of deep learning users use the TensorFlow, Caffe, or Torch frameworks.
happycube 10y ago
Looking at things some more, it seems they are working on it... just a year or two after it needed to be done. :P https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/issues/45 https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/iss...