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CLX Gaming

CLX Gaming Horus Creator TCMHORRTU5A01BM Desktop PC Threadripper 9970X 32-Core 256GB DDR5 RTX 5080 16GB 4TB

SKU CH-1BXT-9JRJP

Liquid-cooled 32-core Threadripper 9970X workstation with 256GB DDR5 ECC memory and RTX 5080 16GB GDDR7 for AI-accelerated content creation

  • Release Year2026
  • TypeDesktop PC
  • Form FactorMid Tower
  • UsageContent Creation
  • ColorBlack
  • Power Supply1250W
  • 32 cores and 64 threads power heavy multitasking with Threadripper 9970X
  • 256 GB DDR5 ECC memory ensures data integrity for large projects
  • RTX 5080 with 16 GB GDDR7 accelerates AI and rendering workloads
  • 4 TB NVMe SSD provides fast storage for massive assets
  • Liquid-cooled CPU and 1250 W supply sustain peak performance

Built for AI-driven creation

The CLX Horus Creator workstation pairs a liquid-cooled 32-core AMD Ryzen Threadripper 9970X processor with an NVIDIA GeForce RTX 5080 graphics card. It targets professionals running complex simulations, rendering, compiling, and AI-assisted creative tasks. The 256GB quad-channel DDR5 ECC memory supports data integrity during heavy workloads. A 4TB NVMe M.2 SSD provides the primary storage volume.

PCI Express x16 graphics interface

The RTX 5080 connects through a PCI Express x16 slot, which defines the electrical link between GPU and platform. Bandwidth and feature support depend on the host platform implementation of that standard. The 16GB GDDR7 frame buffer sets the local memory ceiling for models and textures. Workloads exceeding this capacity will fall back to system memory over the same bus.

Liquid cooling and 1250W power

A liquid-cooled CPU loop handles the 32-core processor thermal load inside a mid-tower chassis. The 1250W power supply delivers the combined draw of CPU, GPU, memory, and storage. Four occupied DDR5 slots leave no free DIMM positions for future expansion up to the 1024GB maximum. Builders needing additional internal drives or add-in cards must verify case and motherboard clearance themselves.

Points forts

  • 32 cores and 64 threads power heavy multitasking with Threadripper 9970X
  • 256 GB DDR5 ECC memory ensures data integrity for large projects
  • RTX 5080 with 16 GB GDDR7 accelerates AI and rendering workloads
  • 4 TB NVMe SSD provides fast storage for massive assets
  • Liquid-cooled CPU and 1250 W supply sustain peak performance

Caractéristiques

BrandCLX
SeriesHorus Creator
ModelTCMHORRTU5A01BM
Part NumberTCMHORRTU5A01BM
Release Year2026
TypeDesktop PC
Form FactorMid Tower
UsageContent Creation
ColorBlack
Power Supply1250W
MonitorMonitor not included
Cooling SystemLiquid Cooled CPU
Operating SystemWindows 11 Pro
CPU TypeRyzen Threadripper
Turbo Frequency5.40GHz
CPU Main Features32 Cores / 64 Threads
GPU/VGA TypeNVIDIA GeForce RTX 5080
GPU Memory16 GB GDDR7
Graphics CardNVIDIA GeForce RTX 5080
Graphics InterfacePCI Express x16
Memory Capacity256GB DDR5 ECC
Memory Slot (Total)4
Memory Slot (Available)0
Memory Slots (Available/Total)0/4
Maximum Memory Supported1024GB
SSD4 TB NVMe M.2
HDDNo
Optical Drive TypeNo
Screen SizeNo Screen
WLAN802.11ax Wireless LAN
BluetoothYes
Video Ports1 HDMI, 3 Display Ports
RJ452 port
Dimensions (H x W x D)13.75x26x26.25
Weight49
Package ContentsCLX Horus Creator Creator Workstation (AMD Ryzen Threadripper 9970X, 256GB DDR5 ECC Memory, GeForce RTX 5080, 4TB NVMe M.2 SSD, WiFi, Win 11 Pro), Power Cord

Questions sur cet article

Should I pick the 256GB DDR5 ECC configuration or plan for the 1024GB maximum?

The system ships with 256GB across four 64GB modules, filling every slot. To reach 1024GB you would need to replace all four sticks with higher-capacity DDR5 ECC modules.

What does the 5.40GHz max turbo on the Threadripper 9970X actually deliver in a real machine?

The 32-core / 64-thread CPU can boost up to 5.40GHz on lightly threaded work while the liquid cooler sustains high clocks during long renders, simulations or AI training runs.

How does the PCI Express x16 link cap the RTX 5080 16GB GDDR7 in practice?

The graphics card runs on a full x16 lane, so the 16GB GDDR7 frame buffer and Tensor compute are not bandwidth-limited by the slot.

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