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White mid-tower gaming desktop with RGB lighting and liquid cooler visible inside

ASUS

ASUS TUF GT501 White Ryzen 7 9700X RTX 5080 128GB DDR5 2TB NVMe Gaming PC

SKU CH-Q6E3-QJAY8

White mid-tower desktop with 8-core Ryzen 7 9700X, RTX 5080 16GB GDDR7, 128GB DDR5, 2TB NVMe and 240mm liquid cooler

  • Screen sizeNo Screen
  • ProcessorAMD Ryzen 7 9000 Series
  • Graphics memory16 GB GDDR7
  • RAM capacity128 GB DDR5
  • SSD storage2 TB NVMe
  • ChipsetAMD AM5

Video Card GeForce RTX 5080

Memory 128GB DDR5

Storage 2TB SSD + 2TB HDD

  • 8-core Ryzen 7 9700X at 3.8 GHz handles heavy workloads smoothly
  • RTX 5080 with 16 GB GDDR7 drives high-fidelity 4K gaming
  • 128 GB DDR5 memory keeps multitasking responsive
  • 2 TB NVMe SSD loads games and apps fast
  • 240 mm liquid cooler sustains CPU performance under load

ASUS TUF GT501 White Gaming Desktop

The ASUS TUF GT501 White is a new gaming desktop built around an AMD Ryzen 7 9700X 8-core processor and an NVIDIA GeForce RTX 5080 graphics card. It ships with Windows 11 Home, 128GB of DDR5 memory and a 2TB NVMe SSD. A 240mm liquid cooler and 1000W power supply complete the core specification.

PCI Express x16 Graphics Interface Limits

The RTX 5080 connects through a PCI Express x16 slot, so the board and chassis must provide that physical and electrical interface. The installed 16GB GDDR7 frame buffer is fixed and cannot be expanded later. System memory uses DDR5 modules only; no other DDR generation is compatible with this platform.

128GB DDR5 Memory Capacity Decides Fit

The four memory slots are fully populated with 128GB of DDR5, leaving no room for additional modules without removing existing ones. Buyers who want more memory than this will need a different configuration. The 2TB NVMe SSD sets the primary storage ceiling; users needing extra capacity must add drives themselves.

How it compares

Measured against everything we stock in Gaming PCs, at today’s prices. Recalculated every night.

Price $4,141.99
Pricier than about 79% of the 24,925 comparable items (median $2,694.99).
Graphics memory 16 GB GDDR7
Typical for this category: the median of 10,551 items is 16 GB.
RAM capacity 128 GB DDR5
Higher than about 80% of the 24,338 comparable items (median 32 GB).

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Specifications

Product
Brand nameASUS
Product typeGaming & Entertainment
Recommended useConsumer
Product colorWhite
Processor
ProcessorAMD Ryzen 7 9000 Series
CPU modelAMD Ryzen 7 9700X
CPURyzen 7 9700X
CPU socketAM5
ChipsetAMD AM5
Base clock speed3.8 GHz
Installed motherboardASUS AM5 Motherboard WIFI DDR5
Memory
RAM capacity128 GB DDR5
Memory size128 GB
RAM type and speedDDR5
Total memory slots4
Memory slots4
Storage
SSD storage2 TB NVMe
Storage configuration2 TB SSD
Display
Screen sizeNo Screen
Graphics
Graphics memory16 GB GDDR7
GraphicsNVIDIA GeForce RTX 5080
GPU modelGeForce RTX 5080
GPURTX 5080
GPU interfacePCI Express x16
VR readyYes
Audio & video
SoundSound card - Integrated
Connectivity
Wi-Fi standardWi-Fi 6
Wired network2.5G Ethernet
Wireless adapterYes
Wi-FiWi-Fi 6
Bluetooth support5.2
Ports & slots
Front USB ports2
Video connectors1 x HDMI 2.1b, 3 x DisplayPort 2.1b
Rear USB ports9
Ethernet port1 port
Power
Power supply1000 W
Size & build
Form factorDesktop
ChassisASUS TUF GT501 White
Compatibility
Windows 11 supportReady
Software
Operating systemWindows 11 Home
More details
AI capabilityAI Ready
Cooling methodLiquid Cooling

Other versions of this model

5 more in the same range

Questions about this item

Should I choose the 128GB DDR5 configuration or add more memory later?

The system ships with 128GB DDR5 across four slots, so all slots are populated; any upgrade would require replacing existing modules.

How does the Ryzen 7 9700X at 3.8GHz perform in actual gaming workloads?

The 8-core CPU runs at 3.8GHz base frequency and is paired with a 240mm liquid cooler to sustain high clocks during extended sessions.

What does the PCI Express x16 graphics interface mean for the RTX 5080 in practice?

The RTX 5080 connects via PCI Express x16, providing full bandwidth for the 16GB GDDR7 GPU without interface bottlenecks.

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