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This is potentially really good news. I would love to see real competition in this space. I would love to see dedicated deep learning hardware (i.e., without
by cs702 9y ago
This is potentially really good news.
I would love to see real competition in this space.
I would love to see dedicated deep learning hardware (i.e., without all the graphics cruft) commercially available, with good support in TensorFlow/Keras and Pytorch. (Perhaps Google will consider selling TPU hardware?)
Even more, I would love to be able to mix hardware from different vendors and use a framework like TensorFlow/Keras or Pytorch to manage heterogeneous deep learning hardware from Nvidia, AMD, Intel, and maybe others (e.g., Google).
BTW, the moniker "GPU" no longer feels right to me. We should start calling deep learning hardware something else, like "DLU" for deep learning unit, or "AIU" for AI unit.
- santaclaus 9y ago> without all the graphics cruft What cruft are you referring to here? I doubt that removing the rasterization logic from the GPU is going to make them signifcantly faster at matrix-vector multiplies or whatever.
- deepnotderp 9y ago"IPU", "TPU", "DPU", take your pick, or, my personal favorite: "I'm pretty sure this is just a glorified DSP" ;)