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Adamant Custom

Adamant Custom Intel Core Ultra 7 265K 192GB DDR5 2TB NVMe 10TB HDD RTX PRO 5000 48GB Workstation

SKU CH-FY5J-SA6S1

20-core Intel Core Ultra 7 workstation with 192 GB DDR5, 2 TB NVMe, 10 TB HDD and 48 GB RTX PRO 5000 GPU for CAD and AI

  • Release Year2026
  • TypeBusiness Desktops & Workstations
  • Form FactorDesktop
  • UsageWork / Business
  • ColorBlack
  • Ethernet2.5G Ethernet
  • 20-core Intel Core Ultra 7 265K powers demanding CAD and AI workloads
  • 192 GB DDR5 memory keeps large assemblies and datasets in fast RAM
  • 2 TB Samsung 990 PRO NVMe SSD delivers 7450 MB/s read speed for rapid project loads
  • Nvidia RTX PRO 5000 Blackwell 48 GB GPU accelerates professional rendering and simulation
  • 10 TB HDD with 256 MB cache provides high-capacity bulk storage

20-core Intel Core Ultra 7 265K workstation

This system pairs a 20-core Intel Core Ultra 7 265K processor with 192GB of DDR5 memory and an Nvidia RTX PRO 5000 Blackwell GPU equipped with 48GB of video memory. It targets engineers and researchers who need large memory capacity for simulation, rendering or AI model training. The Z890 motherboard provides Thunderbolt 4, USB 20Gbps and Wi-Fi 7 connectivity. Windows 11 Pro 64-bit is pre-installed.

240mm liquid cooler and 850W Bronze PSU

A 240mm quiet-edition AIO liquid cooler handles the CPU while three 120mm front fans and a 140mm PSU fan move air through the Antec P20 mid-tower case. Dust filters on the bottom, front and top help keep internals clean during normal operation. The Thermaltake Smart 850W 80 PLUS Bronze unit supplies power with Japanese main capacitors and protection against over-voltage, under-voltage, over-power and short-circuit events. Realtek 7.1 surround audio and Intel 2.5Gb Ethernet complete the platform.

2TB Samsung 990 PRO and 10TB HDD storage

The boot drive is a 2TB Samsung 990 PRO PCIe 4.0x4 NVMe SSD rated for sequential reads up to 7450 MB/s and writes up to 6900 MB/s. A 10TB hard drive with 256MB cache adds bulk capacity for project archives and datasets. Four M.2 slots and four SATA 6Gb/s ports on the motherboard allow further expansion without removing existing drives. The case offers two internal 3.5/2.5-inch bays and two dedicated 2.5-inch bays for additional storage.

Highlights

  • 20-core Intel Core Ultra 7 265K powers demanding CAD and AI workloads
  • 192 GB DDR5 memory keeps large assemblies and datasets in fast RAM
  • 2 TB Samsung 990 PRO NVMe SSD delivers 7450 MB/s read speed for rapid project loads
  • Nvidia RTX PRO 5000 Blackwell 48 GB GPU accelerates professional rendering and simulation
  • 10 TB HDD with 256 MB cache provides high-capacity bulk storage

Specifications

Release Year2026
TypeBusiness Desktops & Workstations
Form FactorDesktop
UsageWork / Business
ColorBlack
Ethernet2.5G Ethernet
MonitorMonitor not included
Cooling SystemLiquid Cooling
Operating SystemWindows 11 Pro 64-bit
AI FeaturesAI Ready
CPU TypeIntel Core Ultra 7
CPU NameIntel Core Ultra 7 265K
CPU Socket TypeLGA 1851
GPU/VGA TypeNvidia RTX PRO 5000 Blackwell
Graphics InterfacePCI Express x16
Virtual Reality ReadyYes
Memory Capacity192GB DDR5
Maximum Memory Supported192 GB
SSD2TB NVMe
HDD10TB
Optical Drive TypeNo
Screen SizeNo Screen
Audio Channels7.1 channels
LAN ChipsetIntegrated
LAN Speed2.5Gbps
WLAN802.11be Wireless LAN
WiFi GenerationWi-Fi 7
BluetoothBluetooth 5.4
RJ451 port

Questions about this item

How do I fit the 240 mm Quiet Edition liquid cooler into the Antec P20 case?

Mount the 240 mm radiator on the front or top 120 mm fan locations, connect the pump header to the Z890-PLUS TUF motherboard CPU_FAN connector, and route tubes clear of the RTX PRO 5000 48GB graphics card.

What part of the cooling system will need service first?

The AIO pump and sealed coolant loop are rated for several years; plan to replace the 240 mm radiator assembly if pump noise rises or CPU temperatures climb under sustained load.

Which limit appears first when the RTX PRO 5000 48GB runs a long AI training job?

The 48 GB VRAM ceiling is reached before the 2.5 Gb Ethernet or 850 W PSU become bottlenecks, so model size must fit within the GPU memory.

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