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

Adamant Custom

Adamant Custom Intel Core Ultra 9 285K RTX 5070 Ti 192GB DDR5 1TB NVMe gaming PC

SKU CH-47G0-A9AE8

A 24-core Intel Core Ultra 9 285K gaming desktop with 192GB DDR5, RTX 5070 Ti 16GB graphics, 1TB NVMe storage and 360mm liquid cooling in a Corsair 4000D tower

  • Release Year2026
  • Form FactorTower
  • AI FeaturesAI Ready
  • ColorBlack
  • Cooling SystemLiquid Cooling
  • Operating SystemWindows 11 Pro
  • 24-core Intel Core Ultra 9 285K handles heavy rendering and AI workloads
  • 192GB DDR5 memory supports large datasets and multitasking
  • 360mm liquid cooler keeps CPU temperatures low under sustained load
  • RTX 5070 Ti 16GB GPU accelerates creative and gaming tasks
  • 1TB Samsung 990 PRO NVMe SSD delivers 7450 MB/s read speeds

24-Core Workstation for AI and Rendering

This desktop pairs a 24-core Intel Core Ultra 9 285K with an Nvidia GeForce RTX 5070 Ti 16GB GPU. It targets professionals running AI learning, 3D modelling and video editing workloads that benefit from high core counts and dedicated graphics acceleration. The system ships with Windows 11 Pro installed and configured without bloatware.

PCIe 4.0 Storage and Connectivity Limits

The 1TB Samsung 990 PRO SSD operates over a PCIe 4.0 x4 link, delivering sequential reads up to 7450 MB/sec and writes up to 6900 MB/sec. Motherboard I/O includes one USB4 Type-C port, one USB 3.2 Gen 2 port, four USB 3.2 Gen 1 ports and four USB 2.0 ports at the rear, plus a front-panel USB 3.2 Type-C and two USB 3.2 Gen 1 ports. Networking relies on Intel 2.5Gb Ethernet and Wi-Fi 6E with Bluetooth 5.3.

360mm Liquid Cooling in a Corsair 4000D Tower

A 360mm quiet-edition AIO cooler handles the CPU thermal load inside a Corsair 4000D tempered-glass chassis measuring 490 x 239 x 486 mm. The Thermaltake Smart 850W 80 PLUS Bronze power supply uses a 140mm fan and Japanese main capacitors with over-voltage, under-voltage, over-power and short-circuit protection. Internal drive bays provide two 3.5-inch and two 2.5-inch slots, while the motherboard offers four M.2 connectors and four SATA 6Gb/s ports supporting RAID 0, 1, 5 and 10.

Highlights

  • 24-core Intel Core Ultra 9 285K handles heavy rendering and AI workloads
  • 192GB DDR5 memory supports large datasets and multitasking
  • 360mm liquid cooler keeps CPU temperatures low under sustained load
  • RTX 5070 Ti 16GB GPU accelerates creative and gaming tasks
  • 1TB Samsung 990 PRO NVMe SSD delivers 7450 MB/s read speeds

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 Capacity192GB DDR5
Memory Slots (Available/Total)4 total
Maximum Memory Supported192 GB
SSD1TB NVMe
HDDNo
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

Should I keep the 192GB DDR5 or choose a smaller kit for this 285K build?

The board supports a maximum of 192 GB across four slots, and this system already fills that limit with high-performance DDR5. Reducing capacity would free slots but lower the ceiling for rendering, modelling and AI workloads the 24-core CPU is aimed at.

What does the 5.70 GHz boost clock on the 285K actually deliver inside this liquid-cooled tower?

With a 360 mm quiet-edition AIO the 24-core chip can sustain its 5.70 GHz maximum turbo on active cores, giving peak single-thread speed for gaming and responsive multi-thread throughput for editing while keeping noise low.

The RTX 5070 Ti has 16GB VRAM — what resolution and workload ceiling does that set?

Sixteen gigabytes of VRAM on the RTX 5070 Ti covers 4K gaming with high textures and provides enough frame-buffer for GPU-accelerated rendering, modelling and AI learning tasks without paging to system memory.

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