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→RAM
*At least as much RAM as GPUs (2 * 11 GB [GTX 1080 Ti size] = 22 GB, so 32GB)
*Does not have to be fast for deep learning: "CPU-RAM-to-GPU-RAM is the true bottleneck – this step makes use of direct memory access (DMA). As quoted above, the memory bandwidth for my RAM modules are 51.2GB/s, but the DMA bandwidth is only 12GB/s!"[http://timdettmers.com/2015/03/09/deep-learning-hardware-guide/]
* Crucial - 32GB (2 x 16GB) DDR4-2133 Memory [https://www.newegg.com/Product/Product.aspx?Item=9SIA8PV5HF1514&nm_mc=AFC-C8Junction&cm_mmc=AFC-C8Junction-PCPartPicker,%20LLC-_-na-_-na-_-na&cm_sp=&AID=10446076&PID=3938566&SID=], SATA 6 GB/s interface
===PSU===
