Interested in Training your own Ai Models? Wanting to speed up your inference from a Dual GPU, locally hosted ai home server? This video is a must watch. You can run A LOT of containers against a small fleet of GPUs like this. I cover the complete hardware build, drop a ton of mounting, cooling, pcie and gpu tips and tricks for this EPYC server sporting 512GB of DDR4. Ollama GPU servers have make use of multiple GPUs automatically so I am building a monster rig that we will be testing out. 👇 All Parts Used Linked Below 👇
Written piece and GPU Rack Modification Instructions
[ Ссылка ]
GPU Rack Frame [ Ссылка ]
Gigabyte MZ32-AR0 Motherboard [ Ссылка ]
RTX 3090 24GB GPU (x4) [ Ссылка ]
Kritical Thermal GPU Pads [ Ссылка ]
256GB (8x32GB) DDR4 2400 RAM [ Ссылка ]
PCIe4 Risers (x4) [ Ссылка ]
AMD EPYC 7702p [ Ссылка ]
iCUE H170i ELITE CAPELLIX [ Ссылка ]
(sTRX4 fits SP3 and retention kit comes with the CAPELLIX)
ARCTIC MX4 Thermal Paste [ Ссылка ]
CORSAIR HX1500i PSU [ Ссылка ]
4i SFF-8654 to 4i SFF-8654 (x4) [ Ссылка ]
HDD Rack Screws for Fans [ Ссылка ]
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0:00 Intro
1:09 Which motherboard
5:49 GPU rack frame
6:59 Which power supply
10:16 Water cooling
12:08 Wattage vs other servers
13:43 How much did it cost
20:37 Conclusions
