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ASUS TUF GT502 mid-tower in dark finish with tempered glass side panel and visible RGB liquid cooler

ASUS

ASUS TUF GT502 Ryzen 7 9700X RTX 5070 Ti 128GB DDR5 4TB NVMe Liquid Cooled gaming PC

SKU CH-MH1J-W8MQZ

Liquid-cooled desktop with 8-core Ryzen 7 9700X, RTX 5070 Ti 16GB GDDR7, 128GB DDR5 and 4TB NVMe storage for high-performance gaming

  • CPU TypeAMD Ryzen 7 9000 Series
  • CPU NameAMD Ryzen 7 9700X
  • Installed Qty1
  • Max Supported Qty1
  • CPU Base Frequency3.8GHz
  • CPU Socket TypeAM5

CPU AMD Ryzen 7-9700X

Video Card NVIDIA GeForce RTX 5070 Ti 16GB

Memory 128GB DDR5

Storage 4 TB SSD + 2TBHDD

  • Ryzen 7 9700X 8-core 3.8GHz powers demanding games and multitasking
  • RTX 5070 Ti 16GB GDDR7 drives high-fidelity 4K gaming
  • 128GB DDR5 handles heavy workloads and future upgrades
  • 4TB NVMe stores a massive library with fast load times
  • 240mm liquid cooler keeps the CPU cool under sustained load

ASUS TUF GT502 Gaming Desktop

The ASUS TUF GT502 is a liquid-cooled gaming desktop built around an AMD Ryzen 7 9700X 8-core processor and an NVIDIA GeForce RTX 5070 Ti graphics card with 16GB GDDR7 memory. It ships with 128GB of DDR5 RAM, a 4TB NVMe SSD and Windows 11 Home pre-installed. A 240mm liquid cooler and 850W power supply complete the system.

Who This Suits and Who It Doesn't

This system suits players who want a ready-to-game desktop with high core counts, large memory capacity and fast NVMe storage for modern titles at high settings. Buyers needing ECC memory support, multi-GPU configurations or server-grade manageability should look elsewhere. The fixed 128GB RAM layout also limits future expansion beyond the four populated slots.

Deciding Specification: 128GB DDR5 Memory

The 128GB DDR5 configuration across four slots is the specification that determines fit. It delivers ample capacity for heavy multitasking and content creation alongside gaming, but the fully populated layout means any upgrade requires replacing existing modules. Confirm your workload needs this density before choosing this build.

Priekšrocības

  • Ryzen 7 9700X 8-core 3.8GHz powers demanding games and multitasking
  • RTX 5070 Ti 16GB GDDR7 drives high-fidelity 4K gaming
  • 128GB DDR5 handles heavy workloads and future upgrades
  • 4TB NVMe stores a massive library with fast load times
  • 240mm liquid cooler keeps the CPU cool under sustained load

Specifikācijas

CPU TypeAMD Ryzen 7 9000 Series
CPU NameAMD Ryzen 7 9700X
Installed Qty1
Max Supported Qty1
CPU Base Frequency3.8GHz
CPU Socket TypeAM5
CPU Main Features64 bit 8-Core Processor
GPU/VGA TypeNVIDIA GeForce RTX 5070 Ti
GPU Memory16GB GDDR7
Graphics CardGeForce RTX 5070 Ti
Graphics InterfacePCI Express x16
Virtual Reality ReadyYes
Memory Capacity128GB DDR5
Memory SpeedDDR5
Form FactorDesktop
Memory Slot (Total)4
Memory Slots (Available/Total)4
SSD4TB NVMe
Storage Spec4TB SSD
Operating SystemWindows 11 Home
Power Supply850W
GraphicsRTX 5070 Ti
TypeGaming & Entertainment
AI FeaturesAI Ready
UsageConsumer
ColorBlack
ProcessorRyzen 7 9700X
Processor Main Features64 bit 8-Core Processor
Memory128 GB
AudioSound card - Integrated
Ethernet2.5G Ethernet
Wireless CardYes
CaseASUS TUF GT502
Cooling SystemLiquid Cooling
Windows 11Ready
Special FeaturesRGB Lighting
WiFi GenerationWi-Fi 6
WLANWi-Fi 6
BluetoothBluetooth 5.2
BrandASUS
ChipsetAMD AM5
Motherboard NameASUS AM5 Motherboard WIFI DDR5
Screen SizeNo Screen
Front USB2
Video Ports1 x HDMI 2.1b, 3 x DisplayPort 2.1b
Rear USB9
RJ451 port
Package TypeRetail

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Jautājumi par šo preci

Should I pick the 128GB DDR5 option or add more later?

The system already ships with 128GB DDR5 across four slots, so no further memory can be added without removing modules.

What does the 3.8GHz base clock on the Ryzen 7 9700X deliver in daily use?

Eight Zen 5 cores at 3.8GHz give strong single-thread speed for games and quick multi-thread throughput for streaming or rendering.

Does the PCI Express x16 slot limit the RTX 5070 Ti 16GB GDDR7 in any way?

The card runs at full PCI Express x16 bandwidth, so the 16GB GDDR7 frame buffer and GPU compute are not bottlenecked by the interface.

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