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White mid-tower PC with tempered glass side panel and RGB lighting

ASUS

ASUS TUF GT501 White i7-14700KF RTX 5060 Ti 64GB DDR5 4TB NVMe Liquid Cooled Gaming PC

SKU CH-73YG-B78QP

A white gaming desktop with a 20-core 3.4GHz i7, liquid cooling, RTX 5060 Ti graphics, 64GB DDR5 memory and a 4TB NVMe drive

  • CPU TypeIntel Core i7 14th Gen
  • CPU NameIntel Core i7-14700KF
  • Installed Qty1
  • Max Supported Qty1
  • CPU Base Frequency3.4GHz
  • CPU Socket TypeLGA 1700

CPU Intel Core i7-14700KF

Video Card GeForce RTX 5060 Ti

被劃上刪除線的選項確實存在，但本站並無供貨。

Storage 4TB SSD

  • 20-core i7-14700KF at 3.4 GHz powers heavy multitasking
  • 240 mm liquid cooler keeps CPU temperatures low under load
  • RTX 5060 Ti with 8 GB GDDR7 drives high-fidelity gaming
  • 64 GB DDR5 memory handles large workloads smoothly
  • 4 TB NVMe SSD stores massive game libraries fast

Ready-to-play ASUS TUF GT501 desktop

This new ASUS TUF GT501 White system arrives assembled with an Intel Core i7-14700KF 20-core processor at 3.4GHz, 64GB DDR5 memory, a 4TB NVMe SSD and a GeForce RTX 5060 Ti with 8GB GDDR7. It targets gamers and creators who want a complete Windows 11 Home machine without building one themselves.

Installation and common issues

The PC ships tested with the 240mm liquid cooler and 750W power supply already fitted inside the chassis. Buyers only need to connect peripherals and power, though components brands may vary between units. It is not for builders who want to select every individual part or who need a second graphics card.

Sustained-load behaviour

The 240mm liquid cooler is designed to manage heat from the 20-core CPU and the RTX 5060 Ti during extended sessions. Windows 11 Home and the 4TB NVMe drive remain responsive while the 64GB DDR5 handles large workloads. The 750W supply delivers continuous power to both processor and graphics card.

商品特色

  • 20-core i7-14700KF at 3.4 GHz powers heavy multitasking
  • 240 mm liquid cooler keeps CPU temperatures low under load
  • RTX 5060 Ti with 8 GB GDDR7 drives high-fidelity gaming
  • 64 GB DDR5 memory handles large workloads smoothly
  • 4 TB NVMe SSD stores massive game libraries fast

商品規格

CPU TypeIntel Core i7 14th Gen
CPU NameIntel Core i7-14700KF
Installed Qty1
Max Supported Qty1
CPU Base Frequency3.4GHz
CPU Socket TypeLGA 1700
CPU Main Features64 bit 20-Core Processor
GPU/VGA TypeNVIDIA GeForce RTX 5060 Ti
GPU Memory8GB GDDR7
Graphics CardGeForce RTX 5060 Ti
Graphics InterfacePCI Express x16
Virtual Reality ReadyYes
Memory Capacity64GB DDR5
Memory SpeedDDR5
Form FactorDesktop
Memory Slot (Total)4
Memory Slots (Available/Total)4
SSD4TB NVMe
Storage Spec4TB SSD
Operating SystemWindows 11 Home
Power Supply750W
GraphicsRTX 5060 Ti
TypeGaming & Entertainment
AI FeaturesAI Ready
UsageConsumer
ColorWhite
ProcessorCore i7-14700KF
Processor Main Features64 bit 20-Core Processor
Memory64 GB
AudioSound card - Integrated
Ethernet2.5G Ethernet
Wireless CardYes
CaseASUS TUF GT501 White
Cooling SystemLiquid Cooling
Windows 11Ready
Special FeaturesRGB Lighting
WiFi GenerationWi-Fi 6
WLANWi-Fi 6
BluetoothBluetooth v5.2
BrandASUS
ChipsetIntel LGA 1700
Motherboard NameASUS LGA 1700 Motherboard WIFI DDR5
Screen SizeNo Screen
Front USB2
Video Ports1 x HDMI 2.1b, 3 x DisplayPort 2.1b
Rear USB5
RJ451 port
Package TypeRetail

其他版本

同系列還有 5 款

同系列產品，記憶體、散熱器或時脈不同 — 下單前請先比較。

商品問答

How can I confirm the liquid cooler is running after I power on the ASUS TUF GT501 White?

Listen for the pump hum and watch the coolant flow through the 240mm radiator tubing; the CPU temperature should settle near idle within a minute or two.

What comes in the box with this desktop and what must I supply?

The system includes the chassis with i7-14700KF, RTX 5060 Ti 8GB GDDR7, 64GB DDR5, 4TB NVMe SSD, 750W PSU and Windows 11 Home; you add a monitor, keyboard, mouse and network cable or Wi-Fi.

Which version of this PC should I choose for 4K gaming and heavy multitasking?

This single configuration pairs the 20-core i7-14700KF with 64GB DDR5 and RTX 5060 Ti 8GB GDDR7, giving the headroom needed for 4K play and multi-app workloads.

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