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- May 22, 2015
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Processor | Intel i5-12600k |
---|---|
Motherboard | Asus H670 TUF |
Cooling | Arctic Freezer 34 |
Memory | 2x16GB DDR4 3600 G.Skill Ripjaws V |
Video Card(s) | EVGA GTX 1060 SC |
Storage | 500GB Samsung 970 EVO, 500GB Samsung 850 EVO, 1TB Crucial MX300 and 2TB Crucial MX500 |
Display(s) | Dell U3219Q + HP ZR24w |
Case | Raijintek Thetis |
Audio Device(s) | Audioquest Dragonfly Red :D |
Power Supply | Seasonic 620W M12 |
Mouse | Logitech G502 Proteus Core |
Keyboard | G.Skill KM780R |
Software | Arch Linux + Win10 |
30% seems like a best case scenario considering it has 30% more CUDA cores than 1080 Ti (5120 vs 3584). Tho HBM2 bandwidth helps too. On the other hand the ~500Mhz deficit hurts the final perfromance assuming you can hit roughly 2Ghz boost on 1080Ti and Titan V has 1455Mhz boost.
What i'm really intrested regarding GV102 is wheter or not they will increase the amount of CUDA cores (and by how much) by cutting out the Tensor cores and FP64 capability since cutting these out will free up space. Or will they cut these out and further reduce the number of CUDA cores to something like 4500 range?
Traditionally, lesser chips never had more CUDA cores. What would be interesting is if Nvidia somehow kept those tensor cores around because they found out a way to actually put them to good use in games. Unlikely, I know, but can hope...