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Black tower desktop with tempered glass side panel and liquid cooling visible inside

Adamant Custom

Adamant Custom 24-Core Core Ultra 9 285K 128GB DDR5 8TB NVMe 10TB HDD RTX 5070 Ti gaming PC

SKU CH-1541-QBR46

A 24-core Intel Core Ultra 9 285K desktop with 128GB DDR5, 8TB NVMe plus 10TB HDD, and an RTX 5070 Ti 16GB GPU in a liquid-cooled tower running Windows 11 Pro

  • Release Year2026
  • Form FactorTower
  • AI FeaturesAI Ready
  • ColorBlack
  • Cooling SystemLiquid Cooling
  • Operating SystemWindows 11 Pro
  • 24-core Intel Core Ultra 9 285K reaches up to 5.70 GHz for heavy rendering and AI workloads
  • 128GB DDR5 memory with headroom to 192GB keeps large datasets and multitasking fluid
  • 8TB Samsung 990 PRO NVMe SSD delivers up to 7450 MB/s reads for fast project loads
  • 10TB hard drive with 256MB cache adds deep bulk storage for archives and media libraries
  • RTX 5070 Ti 16GB GPU accelerates creative apps and high-refresh gaming at 1440p and 4K

24-Core Intel Core Ultra 9 285K workstation

This desktop pairs a 24-core Intel Core Ultra 9 285K processor with 128GB of DDR5 memory and an Nvidia GeForce RTX 5070 Ti 16GB graphics card. It is built for rendering, modelling and AI workloads that demand high multi-threaded throughput and GPU acceleration. The system ships with Windows 11 Pro installed and a 360mm liquid cooler for the CPU.

Pre-built tower with standard ATX layout

The PC arrives fully assembled inside a Corsair 4000D case, so no component installation is required. The motherboard is a Gigabyte Z890 UD with four DDR5 slots, four M.2 connectors and four SATA ports. The Thermaltake Smart 850W 80 PLUS Bronze power supply uses fixed cables; cable routing space behind the motherboard tray is limited, so plan the order of connections before powering on.

Verify monitor inputs and peripheral ports

The RTX 5070 Ti provides DisplayPort and HDMI outputs; confirm your display matches one of these. Rear I/O includes one USB4 Type-C, one USB 3.2 Gen 2, four USB 3.2 Gen 1 and four USB 2.0 ports, plus Intel 2.5Gb Ethernet, Wi-Fi 6E and Bluetooth 5.3. The case front panel adds one USB 3.2 Type-C and two USB 3.2 Gen 1 ports. No optical drive bay is present.

Highlights

  • 24-core Intel Core Ultra 9 285K reaches up to 5.70 GHz for heavy rendering and AI workloads
  • 128GB DDR5 memory with headroom to 192GB keeps large datasets and multitasking fluid
  • 8TB Samsung 990 PRO NVMe SSD delivers up to 7450 MB/s reads for fast project loads
  • 10TB hard drive with 256MB cache adds deep bulk storage for archives and media libraries
  • RTX 5070 Ti 16GB GPU accelerates creative apps and high-refresh gaming at 1440p and 4K

Specifications

Release Year2026
Form FactorTower
AI FeaturesAI Ready
ColorBlack
Cooling SystemLiquid Cooling
Operating SystemWindows 11 Pro
Windows 11Ready
CPU TypeIntel Core Ultra 9 (Series 2)
CPU NameIntel Core Ultra 9 285K
CPU Socket TypeLGA 1851
GPU/VGA TypeGeForce RTX 5070 Ti
Memory Capacity128GB DDR5
Memory Slots (Available/Total)4 total
Maximum Memory Supported192 GB
SSD8TB NVMe
HDD10TB
Optical Drive TypeNo
Screen SizeNo Screen
Audio ChipsetIntegrated
Audio Channels7.1 channels
LAN ChipsetIntegrated
LAN Speed2.5Gbps
WLAN802.11ax Wireless LAN
WiFi GenerationWi-Fi 6E
BluetoothBluetooth 5.4
RJ451 port

Questions about this item

How can I confirm the 360mm AIO liquid cooler is running after I power on the system?

Listen for the pump hum and watch the 140mm radiator fans spin; the CPU should stay near 3.7GHz at idle and rise toward 5.70GHz under load without thermal throttling.

Which drives and accessories ship inside the Corsair 4000D case, and what must I provide?

The tower arrives with Windows 11 Pro installed on two 4TB Samsung 990 PRO NVMe drives plus a 10TB HDD, 128GB DDR5, RTX 5070 Ti 16GB GPU and 850W PSU; only a monitor, keyboard and mouse are needed separately.

Should I choose the 128GB DDR5 configuration or the 192GB maximum supported by the Z890 UD motherboard?

The 128GB kit fills all four slots and suits rendering, modelling and AI workloads today; select 192GB only if you anticipate larger datasets that exceed the current capacity.

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