People keep saying it's "not feasible" to do deep learning on a CPU. Is that actually true? I'm thinking of papers like this one[0] from Uber. that make the claim that CPU training is very much feasible, in this case with a cluster of 10 machines, each with 72~ CPUs. There's a blog post about someone recreating the paper here[1].

Sure, you can't do it on ONE CPU, but the point is to have a cluster of CPUs. It's not the case that you're forced to use nVidia's proprietary stuff in order to do deep learning.

[0]: https://arxiv.org/abs/1712.06567 [1]: https://towardsdatascience.com/paper-repro-deep-neuroevoluti...