I am considering building a PC for my research on deep learning, here are the components I have on my mind;
CPU: Intel i9-9900k (8-core, 16-thread, 3.6 GHz, 5.0 GHz Turbo)
CPU cooler: Coasair H100i Pro RGB AIO Liquid CPU Coole
Motherboard: ASUS ROG Maximus XI Hero
Memory: Corsair Vengeance LPX 32GB (2x16GB) DDR4 DRAM 2666MHz
SSD: Samsung 970 EVO 1TB - NVMe PCIe M.2 2280 SSD
HDD: WD Red Pro 4TB NAS Internal Hard Drive
GPU: NVIDIA GeForce RTX 2080
Case: Corsair Crystal 460X RGB ATX Mid Tower Case
Power Supply: EVGA Supernova 1300 G2 80+ Gold, 1300W Fully Modular NVIDIA SLI and Crossfire Ready
The total cost is about $2,360.
I would appreciate it if any of you could please take a look at the components and let me know if it is a good build.
Best,
Wei
CPU: Intel i9-9900k (8-core, 16-thread, 3.6 GHz, 5.0 GHz Turbo)
CPU cooler: Coasair H100i Pro RGB AIO Liquid CPU Coole
Motherboard: ASUS ROG Maximus XI Hero
Memory: Corsair Vengeance LPX 32GB (2x16GB) DDR4 DRAM 2666MHz
SSD: Samsung 970 EVO 1TB - NVMe PCIe M.2 2280 SSD
HDD: WD Red Pro 4TB NAS Internal Hard Drive
GPU: NVIDIA GeForce RTX 2080
Case: Corsair Crystal 460X RGB ATX Mid Tower Case
Power Supply: EVGA Supernova 1300 G2 80+ Gold, 1300W Fully Modular NVIDIA SLI and Crossfire Ready
The total cost is about $2,360.
I would appreciate it if any of you could please take a look at the components and let me know if it is a good build.
Best,
Wei