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TPUs seem like great hardware. Unfortunately google's insistence on keeping them in a walled garden is a major deterrent to building something that relies on th
by tehsauce 8y ago
TPUs seem like great hardware. Unfortunately google's insistence on keeping them in a walled garden is a major deterrent to building something that relies on their platform.
- jacksmith21006 8y agoWhat makes sense. Would guess each cloud provider will do their own.
- kuschku 8y agoAnd that helps me get one in my own servers how?
- jacksmith21006 8y agoCommon library above is how. Top one today is TF.
- kuschku 8y agoSo how does that get me a TPU in my own servers?
- jacksmith21006 8y agoDoes not make much sense to buy your own chips any longer. TF removes the silicon from the equation. So if Nvidia cheaper use but if TPUs cheaper use. If something new that is cheaper then move. TF is the key.
- shaklee3 8y agoYou seem to be missing the point again and again every time this topic comes up. There is a reason why TensorFlow is generic enough to run on many types of hardware. That allows people to port their code around. But there exists a world outside of tensorflow that you might not be aware of, and for that world this chip is not a competitor. That world is significantly larger than the TF world.