This is a machine learning server that we will use at our company. It will eventually live in our cooled server room. I wanted to go with the Corsair Carbide Air 540 case, but my boss said it was too big. The GD07B he chose should be rack mountable. Also, the Seagate hard disk drive (HDD) I chose was replaced with a Western Digital (WD) HDD because we have had problems with Seagate.
In theory, this build can support up to four graphics processing unites (GPUs) for 4-way Scalable Link Interface (SLI). In theory all the cables will fit in the case. In practice, getting everything to fit in this particular case will be a hassle. I would recommend the bigger Corsair Carbide Air 540 if you want to do 4-way SLI and you can spare the space.
X299 TAICHI + i9-7900X and X99-M WS + i7-5930K builds were also evaluated. The X99-M WS is great for 2 GPUs if you want to user older hardware. The Z10PE-D8 WS is an alternative to the X99-M WS if you want to use 2 CPUs and 4 GPUs. The X299 TAICHI is a good motherboard if you want 3-way SLI.
External GPU (eGPU) enclosures with GTX 1080 Tis were also evaluated, but my coworkers did not like that option because they use laptops. They would need to unplug the eGPU and lose an experiment to take their laptop to a meeting.
The X299 SAGE strikes me as a premium motherboard for gaming, ML or crypto mining. For what it is worth, I would love to see a WS X299 SAGE 4-way SLI RTX 2080 Ti build. =)
References for this Build