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

Adamant Custom

Adamant Custom i9-14900K RTX 5080 192GB DDR5 2TB NVMe Gaming PC

SKU CH-BGXX-AZHBD

A 24-core Intel Core i9-14900K and RTX 5080 desktop with 192GB DDR5 and a 2TB Samsung 990 PRO NVMe SSD, liquid-cooled in a Corsair 4000D case with a 1000W Gold PSU

  • Screen sizeNo Screen
  • ProcessorIntel Core i9 14th Gen
  • RAM capacity192 GB DDR5
  • SSD storage2 TB NVMe
  • GraphicsGeForce RTX 5080
  • CPU modelIntel Core i9-14900K
  • 24-core Intel i9-14900K reaches 6.00 GHz for heavy multitasking
  • RTX 5080 16GB GPU powers 4K gaming and AI workloads
  • 192GB DDR5 memory handles large renders and datasets
  • 2TB Samsung 990 PRO SSD reads up to 7450 MB/s
  • 360mm liquid cooler keeps CPU temperatures low under load

Core Specification

This Adamant Custom desktop pairs a 24-core Intel Core i9-14900K processor with an Nvidia GeForce RTX 5080 graphics card. The system includes 192GB of DDR5 memory and a 2TB Samsung 990 PRO NVMe SSD. It ships with Windows 11 Pro installed and uses a Z790 motherboard with integrated Wi-Fi 6 and BLUETOOTH 5.2 connectivity.

Build Practicalities

The PC arrives fully assembled and tested inside a Corsair 4000D tempered-glass case measuring 490 x 239 x 486 mm. A 360mm liquid cooler handles the CPU, while a Thermaltake Toughpower 1000W 80 PLUS Gold unit supplies power. Internal drive bays provide space for two 3.5-inch and two 2.5-inch devices. The motherboard offers three additional M.2 slots and four SATA 6Gb/s ports for future storage expansion.

Buyer Fit

This configuration suits professionals who need 24 cores, 32 threads and 192GB of DDR5 for rendering, modelling or AI workloads alongside high-end gaming. Buyers who want more than 192GB of memory or a second graphics card should consider a platform with higher CPU memory limits and additional PCIe slots. Users who do not require a discrete RTX 5080 can select a different GPU during the customisation process.

How it compares

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

Price $6,073.99
Pricier than about 90% of the 24,925 comparable items (median $2,694.99).
RAM capacity 192 GB DDR5
Higher than about 95% of the 24,338 comparable items (median 32 GB).
SSD storage 2 TB NVMe
Typical for this category: the median of 24,468 items is 2 TB.

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Specifications

Product
Year of release2026
Product colorBlack
Processor
ProcessorIntel Core i9 14th Gen
CPU modelIntel Core i9-14900K
CPU socketLGA 1700
Memory
RAM capacity192 GB DDR5
Memory slots4 total
Max supported RAM192 GB
Storage
SSD storage2 TB NVMe
Hard driveNo
Optical driveNo
Display
Screen sizeNo Screen
Graphics
GraphicsGeForce RTX 5080
Audio & video
Audio chipIntegrated
Sound channels7.1 channels
Connectivity
Wi-Fi standardWi-Fi 6
Network speed2.5 Gbit/s
Ethernet controllerIntegrated
Wi-Fi802.11ax Wireless LAN
Bluetooth support5.2
Ports & slots
Ethernet port1 port
Size & build
Form factorDesktop
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 360 mm liquid cooler is running correctly after first boot?

Enter the motherboard BIOS and verify the CPU fan header reports a pump speed above zero and the coolant temperature is lower than the CPU package temperature under idle load.

Which components are included in the box and what must I supply myself?

The system ships fully assembled with the Corsair 4000D case, 1000 W 80 PLUS Gold PSU, Z790 motherboard, i9-14900K, 192 GB DDR5, 2 TB Samsung 990 PRO SSD, RTX 5080 16 GB GPU, 360 mm AIO cooler, Windows 11 Pro licence, Wi-Fi 6 and BLUETOOTH 5.2 antennas, power cord and documentation. You only need a monitor, keyboard and mouse.

Should I choose the 192 GB DDR5 configuration or a lower capacity for AI modelling workloads?

The board supports a maximum of 192 GB across four slots and this build already populates that limit, giving the full 36 MB L3 cache and 24 cores / 32 threads the headroom large language models and rendering queues demand.

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