My team is building a new workstation for Deep Learning training and we’re planning on having 4x RTX Titan with Supermicro MBD-X10DRG-Q motherboard and 2x Intel Xeon E5-2620V4. My question is regarding the use of NVLink. Since NVLink can only bridge two graphic cards together, how can it work on this system?
I thought it was possible to use 2x NVLink, creating two pairs of bridged cards, lets say, bridging cards 1 and 2, and cards 3 and 4. But I’ve been told by a Nvidia Customer Care representative that this setup isn’t possible. Is that correct?
If I can’t use two NVLinks at the same time, would it be possible to only have 1 installed, bridging cards 1 and 2, and have the other two cards unbridged?
My main concern is to have, at least, one configuration with 48GB of RAM available (and I say 48GB of RAM available because, as I’ve also been told, NVLink is supposed to “virtualize” two graphic cards together, essentially making them look as one). How can this be achieved?
Our applications should be anything with Keras, Theano, Caffe, TensorRT, and so on…