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Losing? When it comes to TensorFlow et al they haven't really shown up for the fight. It's a vicious cycle though, since everything uses CUDA/CuDNN everyone b

Losing? When it comes to TensorFlow et al they haven't really shown up for the fight. It's a vicious cycle though, since everything uses CUDA/CuDNN everyone buys nVidia cards, which means that developer interest in getting AMD cards fast isn't there. If AMD GPU cores were in phones etc, they would probably be getting TF support for client work at least. Heck, considering they sold off that dept to Qualcomm, which is getting supported...

lettergram 10y ago
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...

lettergram 10y ago

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...