Build Information (optional)
Component Selection
Graphics Card

1,325€
Length: 304 Brand: Gigabyte Chipset: RTX 5080
Length: 304
Processor *

985€
Chipset: r9-9950x3D2 Graphics: Yes Manufacturer: AMD
Chipset: r9-9950x3D2
Motherboard *

457€
Processor Type: AMD Brand: Asus Chipset: X870E
Processor Type: AMD
RAM *

464€
Brand: KLEVV Capacity: 32 Color: White
Brand: KLEVV
Storage

204€
4 (1)
Brand: Samsung Capacity: 1000 Type: SSD
Brand: Samsung
Power Supply

298€
Brand: Be Quiet Color: Black Wattage: 1300
Brand: Be Quiet
Case

295€
Brand: Corsair Color: Black Side Panel Type: Tempered Glass
Brand: Corsair
Cooling

194€
Brand: Alphacool Radiator size: 360mm Type: Watercooling
Brand: Alphacool
Peripheral Selection
Keyboards
Not SelectedMouse
Not SelectedHeadsets & Earbuds
Not SelectedMonitors
Not SelectedConfiguration Summary
ASUS PROART X870E-CREATOR WIFI AM5 ATX Black
457€
KLEVV FIT V White 32GB (2x16GB) 6400MT/s DDR5 CL32 UDIMM
464€
Samsung 990 PRO M.2 NVMe 1TB Black
204€
4 (1)
be quiet! Dark Power Pro 13 1300W 80 Plus Titanium Black
298€
Corsair 7000D AIRFLOW Full-Tower Tempered Glass Black
295€
Alphacool Eisbaer Pro Aurora 360mm AIO Black
194€
Gigabyte RTX 5080 WINDFORCE OC 16GB GDDR7 Black
1,325€
Processeur AMD Ryzen 9 9950X3D2 (5,2 Ghz) AM5 - Version OEM (Tray) #DEFAULT
985€
Total4,222€
Incompatibilities

All good!
No incompatibility detected
FPS Estimate

511 FPS
Counter-Strike 2
Counter-Strike 2
511 FPS
147 FPS
Palworld
Palworld
147 FPS
371 FPS
Dota 2
Dota 2
371 FPS
173 FPS
PUBG: Battlegrounds
PUBG: Battlegrounds
173 FPS
256 FPS
Delta Force
Delta Force
256 FPS
372 FPS
Apex Legends
Apex Legends
372 FPS
321 FPS
Rust
Rust
321 FPS
254 FPS
Rainbow Six Siege
Rainbow Six Siege
254 FPSPage 1 of 19 · 150 games
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Prebuilt PC Equivalent

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Comments
Comments
▫️ Budget : 4000€ ▫️ Usage : AI ▫️ Games and software : CYBERPUNK 2077 4K ▫️ Resolution and display : 4K The aim of the PC is to do gaming and AI locally. Note that it’s for work since I work in the field. So it’s a hybrid between professional and personal for gaming. Looking forward to hearing your opinion. Note that NvOdia remains the favorite, in ri2osn of its compatibility of libraries for AI and others with CUDA..