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===Single GPU vs Multi GPU===
*[https://www.nvidia.com/en-us/geforce/products/10series/geforce-gtx-1080-ti/ GTX 1080 Ti Specs]
* [http://timdettmers.com/2017/04/09/which-gpu-for-deep-learning/ Which GPU for deep learning (04/09/2017)]
====TL;DR====
Using multiple GPUs adds a lot of complexity. It has a few benefits: possible speed ups if the network can be split up(and is big enough), able to train multiple networks at once (either copies of the same network or modified networks), more memory for huge datasetsbatches.Some frameworks have much better performance with multiple GPUs (pytorch, caffe 2) while others are catching up. Todo: ask what software, dataset size, development approach
===Other Builds===
* [https://news.ycombinator.com/item?id=14438472 Deep learning box for $1700] (links to https://blog.slavv.com/the-1700-great-deep-learning-box-assembly-setup-and-benchmarks-148c5ebe6415)
