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Black mid-tower gaming desktop with tempered glass side panel and ARGB lighting

Adamant Custom

Adamant Custom Ultra 9 285K RTX 5080 64GB 8TB NVMe 10TB HDD gaming PC

SKU CH-VBEA-V364V

A 24-core Intel Core Ultra 9 285K tower with 64GB DDR5, 8TB NVMe, 10TB HDD and an RTX 5080 16GB GPU for high-end gaming and AI workloads

  • Screen sizeNo Screen
  • ProcessorIntel Core Ultra 9 (Series 2)
  • RAM capacity64 GB DDR5
  • SSD storage8 TB NVMe
  • GraphicsGeForce RTX 5080
  • CPU modelIntel Core Ultra 9 285K
  • 24-core Intel Core Ultra 9 285K drives heavy multitasking and AI workloads
  • Nvidia GeForce RTX 5080 16GB GPU powers 4K gaming and creative rendering
  • 64GB DDR5 memory with 192GB maximum supports large datasets and virtual machines
  • 8TB NVMe SSD plus 10TB HDD gives fast boot and massive storage capacity
  • 360mm liquid cooler and 1000W 80 PLUS Gold PSU keep thermals stable under load

High-Performance Workstation Desktop

The Adamant Custom Ultra 9 285K system is a tower workstation built for rendering, modelling and AI learning workloads. It pairs a 24-core Intel Core Ultra 9 285K processor with an Nvidia GeForce RTX 5080 graphics card. Sixty-four gigabytes of DDR5 memory and a combined 18 terabytes of NVMe and HDD storage complete the platform.

Pre-Built Liquid-Cooled Assembly

The PC arrives fully assembled with a 360 mm quiet-edition AIO cooler already mounted on the LGA 1851 socket. No component installation is required, though the mid-tower case offers only one 3.5-inch or two 2.5-inch drive bays for future expansion. Builders needing additional internal drives should verify external enclosure options.

Sustained Thermal And Power Delivery

A Thermaltake Toughpower 1000 W 80 Plus Gold unit powers the CPU and GPU under continuous load. The liquid cooler and four 140 mm case fans rated at 1500 rpm maintain temperatures during extended render or compute sessions. The Z890 motherboard VRM design supports the processor up to its 5.70 GHz boost without throttling.

How it compares

Measured against everything we stock in Gaming PCs, at today’s prices. Recalculated every night.

Price $5,768.99
Pricier than about 90% of the 24,925 comparable items (median $2,694.99).
RAM capacity 64 GB DDR5
Higher than about 60% of the 24,338 comparable items (median 32 GB).
SSD storage 8 TB NVMe
Higher than about 99% of the 24,468 comparable items (median 2 TB).

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Specifications

Product
Year of release2026
Product colorBlack
Processor
ProcessorIntel Core Ultra 9 (Series 2)
CPU modelIntel Core Ultra 9 285K
CPU socketLGA 1851
Memory
RAM capacity64 GB DDR5
Memory slots4 total
Max supported RAM192 GB
Storage
SSD storage8 TB NVMe
Hard drive10 TB
Optical driveNo
Display
Screen sizeNo Screen
Graphics
GraphicsGeForce RTX 5080
Audio & video
Audio chipIntegrated
Sound channels7.1 channels
Connectivity
Wi-Fi standardWi-Fi 7
Network speed2.5 Gbit/s
Ethernet controllerIntegrated
Wi-Fi802.11be Wireless LAN
Bluetooth support5.4
Ports & slots
Ethernet port1 port
Size & build
Form factorTower
Compatibility
Windows 11 supportReady
Software
Operating systemWindows 11 Pro
More details
AI capabilityAI Ready
Cooling methodLiquid Cooling

Questions about this item

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

The 360mm Quiet Edition AIO uses a 140mm fan rated at 1500rpm and 30dBA; listen for the low hum and check the pump LED through the tempered glass side panel to verify flow.

What storage drives are included and do I need to buy any extra cables or brackets?

Two 4TB Samsung 990 PRO PCIe 4.0x4 M.2 SSDs and one 10TB HDD with 256MB cache are pre-installed; the case provides one 3.5 or two 2.5 bays and the motherboard has four M.2 slots and four SATA 6Gb/s ports, so no extra cables are required for the supplied drives.

Should I choose the 64GB DDR5 configuration or plan to fill all four slots up to the 192GB maximum?

The board has four DDR5 slots and supports up to 192GB; 64GB is ample for gaming and most creative workloads, while populating all four slots is only necessary for very large AI training or simulation datasets.

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