I have a machine that I am using for deep learning and it has 32GB of ECC RAM paired with a Xeon CPU w/ Quadro, and that 32GB of RAM is gone almost instantly.

I have a machine that I am using for deep learning and it has 32GB of ECC RAM paired with a Xeon CPU w/ Quadro, and that 32GB of RAM is gone almost instantly. Now I'm looking at building another machine as it has gotten to the point where I am spending a great deal of time waiting. I would be interested to see what other people are using for their setups, and how that can differ for things like high-resolution style transfer or generic neural networks, etc...and at what point they have to switch from geforce/quadro cards to tesla.