Maybe, be people in this thread treat Tensorflow's creation as an act of simple altruism.
> And if "anywhere" includes the users' hardware, it's wrong: tensorflow runs flawlessly on any Linux/NVIDIA hardware. Maybe it works better with GCE than AWS, but that would once again fall into that "rather unsurprising" category of factoids.
Sorry, Tensorflow is slow on GPUs compared to other frameworks. This is not just an early blip, its a consistent pattern that has been repeatedly demonstrated. Why is Tensorflow slow on commodity hardware? Why isn't Google with it's infinite resources making Tensorflow run as fast as other frameworks on GPUs? Because it needs to demonstrate an advantage on the Google Cloud with TPUs.
On that cloud, it surrounds Tensorflow with other functionality that makes it easy to build AI, which aren't part of the Tensorflow project. Tensorflow is hard and inefficient to serve for inference, for example.
Machine learning is Google cloud's only hope to salvage Diane Greene's efforts and extend their dominance to a new sector. They're running a distant fourth.
> actually doesn't sound that scary.
It sounds scary to a lot of companies that don't want to be controlled or destroyed by Google. But by all means, lend them a hand, geek soldier.
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