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Black mid-tower desktop with tempered glass side panel, front USB-C and audio ports, liquid cooling radiator visible inside

Adamant Custom

Adamant Custom 24-Core Ultra 9 285K 64GB DDR5 2TB NVMe 10TB HDD RTX 5090 32GB Gaming PC

SKU CH-3EJP-187N4

A 24-core Intel Core Ultra 9 desktop with 64GB DDR5, 2TB NVMe SSD, 10TB HDD and RTX 5090 32GB graphics for rendering, AI workloads and high-end gaming

  • CPU TypeIntel Core Ultra 9 (Series 2)
  • CPU NameIntel Core Ultra 9 285K
  • CPU Socket TypeLGA 1851
  • GPU/VGA TypeGeForce RTX 5090
  • Memory Capacity64GB DDR5
  • Memory Slots (Available/Total)4 total
  • 24-core Intel Core Ultra 9 285K handles heavy rendering and AI workloads
  • 64GB DDR5 memory supports large datasets and multitasking up to 192GB
  • 2TB NVMe SSD plus 10TB HDD gives fast boot and massive storage
  • RTX 5090 32GB GPU accelerates 3D modelling and deep learning
  • 360mm liquid cooling keeps the system quiet under sustained load

Target User

This system pairs a 24-core Intel Core Ultra 9 285K with 64GB DDR5 and an RTX 5090 32GB graphics card. It is built for professionals who need sustained multi-threaded compute for rendering, modelling or AI learning workloads. The 2TB NVMe boot drive and 10TB hard drive provide capacity for large project libraries. Buyers who only need mainstream gaming performance will find the specification excessive.

Installation Notes

The workstation arrives fully assembled with Windows 11 Pro installed and a 360mm liquid cooler fitted to the LGA 1851 socket. The Z890 EAGLE motherboard offers four memory slots, leaving two free for future expansion up to 192GB. Internal bays include two 3.5-inch and two 2.5-inch positions if additional storage is required. Builders who prefer to select every component themselves should order parts separately.

Deciding Specification

The GeForce RTX 5090 with 32GB video memory is the single component that determines suitability. Workloads that demand large frame buffers for 3D rendering, simulation or AI training benefit directly from this capacity. Systems with smaller GPU memory will limit dataset size and texture resolution. Verify that your software stack can utilise the available VRAM before purchasing.

特長

  • 24-core Intel Core Ultra 9 285K handles heavy rendering and AI workloads
  • 64GB DDR5 memory supports large datasets and multitasking up to 192GB
  • 2TB NVMe SSD plus 10TB HDD gives fast boot and massive storage
  • RTX 5090 32GB GPU accelerates 3D modelling and deep learning
  • 360mm liquid cooling keeps the system quiet under sustained load

仕様

CPU TypeIntel Core Ultra 9 (Series 2)
CPU NameIntel Core Ultra 9 285K
CPU Socket TypeLGA 1851
GPU/VGA TypeGeForce RTX 5090
Memory Capacity64GB DDR5
Memory Slots (Available/Total)4 total
Maximum Memory Supported192 GB
SSD2TB NVMe
HDD10TB
Operating SystemWindows 11 Pro
Form FactorDesktop
Release Year2026
AI FeaturesAI Ready
ColorBlack
Cooling SystemLiquid Cooling
Windows 11Ready
LAN Speed2.5Gbps
WiFi GenerationWi-Fi 7
LAN ChipsetIntegrated
WLAN802.11be Wireless LAN
BluetoothBluetooth 5.4
Optical Drive TypeNo
Screen SizeNo Screen
Audio ChipsetIntegrated
Audio Channels7.1 channels
RJ451 port

この商品に関する質問

How can I confirm the 24-core Intel Core Ultra 9 285K is running at its 5.70 GHz boost after setup?

Open Task Manager's Performance tab or HWMonitor and watch the CPU frequency under load; it should reach 5.70 GHz on active cores with the 360 mm liquid cooler keeping temperatures in check.

What components are included in the box and what must I purchase separately?

The system ships fully assembled with the 64 GB DDR5 memory, 2 TB Samsung 990 PRO NVMe SSD, 10 TB HDD, RTX 5090 32 GB GPU, Windows 11 Pro, 1200 W Gold PSU, 360 mm AIO cooler, Wi-Fi 7 and Bluetooth5.4; only a monitor, keyboard and mouse are needed separately.

Which memory capacity should I choose if I want headroom for future AI workloads?

The board supports up to 192 GB across four slots; the current 64 GB kit leaves three slots free, so adding another matched DDR5 kit later is straightforward without replacing existing modules.

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