av-savchenko
commented
1 year ago Hello! I already wrote specification of my GPU in a parallel issue. It was better to continue discussion there... Nevertheless, here are the details about hardware:
- CPU Intel Core i9-10980XE (3.0GHz/24.75MB/18 cores) LGA2066 BOX, TDP 165W, max 256Gb DDR4-2933, BX8069510980XESRGSG
- Asus WS X299 SAGE Soc-2066 iX299 ATX 8xDDR4 8xSATA3 SATA RAID i210AT/219LM 2хGgbEth Ret
- Kingston 16GB 2666MHz DDR4 CL16 DIMM HyperX FURY Black
- PALIT PA-RTX2080Ti DUAL 11G // NE6208T020LC150A // nVidia GeForce RTX 2080Ti 11264Mb 352bit GDDR6 1350/14000/HDMIx1/DPx3/Type-Cx1/HDCP RTL
- Solid State Disk Silicon Power P34A80 1Tb PCIe Gen3x4 M.2 PCI-Express (PCIe) SP001TBP34A80M28
- HDD SATA Seagate 6Tb, ST6000VX001, SkyHawk Surveillance, 5400 rpm, 256Mb buffe
It is a server purchased 3 years ago. I believe, you could use much better hardware now
Can you tell me the specification of your computer to train affectnet efficiently ?