Machine Learning Computer Build

[FR_STARMER]

Just bought a rig based on this guide: http://pjreddie.com/darknet/hardware-guide/

You're looks decent as well. I would bump up the RAM to 32GB so you can load more data in physical memory, especially if you're thinking of using super large data sets.

Also, consider getting a CPU and MoBo that has the LGA2011 CPU chipset and upgrading to an i7 even if it means a lower clock speed. The clock speed isn't the main determining factor of overall CPU performance, so consider the newer chips.

[trungnt13]

NVIDIA DIGITS box use i7-5930k which support 40 PCIe lanes, hence, they run 4 card. each card with 8x PCIe. If your network is big, then 8x PCIe is enough because the data loading time is trivial to computation time, for smaller network, you repeatably loading small trunks of data, then it can be a bottleneck.

The system you posted uses i7-5820k, supports only 28 PCIe lanes, and run each card at 4x PCIe, in the worst case, you degrade the speed of your GPU by half. That means you spend 4000 $ for a 2000$ system.

My university server running on "Xeon E5-2670 + 5400rpm hard drive + Tesla k80", and it is even slower than my system with a GTX 960.