I recently did an upgrade on my system but the performance at best stayed the same and even decreased about 20% in cuda-related computation (deep learning). Can it be my settings or was my choice of components simply that bad?
(I'm no expert when it comes to picking the right parts, but I thought I would get at least a bit more performance out of my new system)
Previous System:
Mainboard: Asus Sabertooth Mainboard Sockel 2011
CPU: Intel i7-3820 Prozessor
Graphics: Nvidia GTX 1060 6GB
RAM: DDR3 Kingston HyperX XMP 16GB (2133 MHz, 240-polig, CL11)
Disk: Samsung SSD 850 PRO 256GB
Power: Corsair AX850
Cooler: Fractal Design
Upgraded System:
Mainboard: ASUS PRIME Z390-A
CPU: Intel Core i7 9700K
Graphics: Nvidia GTX 1060 6GB
RAM: DDR4 G.Skill RGB F4 16GB
Disk: Samsung MZ-V7E500BW 970 EVO internal SSD
Power: Corsair AX850
Cooler: Noctua
Any suggestions on where and what to change? other RAM? For CUDA-computation probably a graphics-card upgrade(?) but which one? (another 800€ for a RTX 2080 would kinda hurt - is there a card that would provide me some significant increase in performance?)
Thanks in advance!
Lenny
(I'm no expert when it comes to picking the right parts, but I thought I would get at least a bit more performance out of my new system)
Previous System:
Mainboard: Asus Sabertooth Mainboard Sockel 2011
CPU: Intel i7-3820 Prozessor
Graphics: Nvidia GTX 1060 6GB
RAM: DDR3 Kingston HyperX XMP 16GB (2133 MHz, 240-polig, CL11)
Disk: Samsung SSD 850 PRO 256GB
Power: Corsair AX850
Cooler: Fractal Design
Upgraded System:
Mainboard: ASUS PRIME Z390-A
CPU: Intel Core i7 9700K
Graphics: Nvidia GTX 1060 6GB
RAM: DDR4 G.Skill RGB F4 16GB
Disk: Samsung MZ-V7E500BW 970 EVO internal SSD
Power: Corsair AX850
Cooler: Noctua
Any suggestions on where and what to change? other RAM? For CUDA-computation probably a graphics-card upgrade(?) but which one? (another 800€ for a RTX 2080 would kinda hurt - is there a card that would provide me some significant increase in performance?)
Thanks in advance!
Lenny