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Adamant Custom

Adamant Custom Core Ultra 5 245K 192GB 4TB NVMe 10TB HDD RTX PRO 4000 Blackwell Business Desktop

SKU CH-GVFT-H9YCT

14-core Intel Core Ultra 5 245K workstation with 192GB DDR5, 4TB NVMe, 10TB HDD and Nvidia RTX PRO 4000 Blackwell 24GB for CAD and AI workloads

  • Release Year2026
  • TypeBusiness Desktops & Workstations
  • Form FactorDesktop
  • UsageWorkstation
  • ColorBlack
  • Ethernet2.5G Ethernet
  • 14-core Intel Core Ultra 5 245K CPU reaches 5.20 GHz for heavy workloads
  • 192GB DDR5 memory handles large datasets without swapping
  • 4TB NVMe SSD delivers 7450 MB/s reads for instant project loading
  • 10TB HDD with 256MB cache stores massive asset libraries locally
  • RTX PRO 4000 Blackwell 24GB GPU accelerates AI and CAD rendering

Workstation for CAD and AI

This business desktop is built around a 14‑core Intel Core Ultra 5 245K processor with a 4.2 GHz base clock and 20 threads, paired with an Nvidia RTX PRO 4000 Blackwell graphics card. The system ships with 192 GB of DDR5 memory, a 4 TB NVMe SSD and a 10 TB hard drive, running Windows 11 Pro 64‑bit for professional modelling and AI workloads.

Compatibility checks before ordering

Verify that your monitors use DisplayPort or HDMI connections supported by the RTX PRO 4000 Blackwell and that your network infrastructure can take advantage of the 2.5 Gb Ethernet and Wi‑Fi 7 wireless. Ensure peripheral cables match the rear USB mix of Thunderbolt 4, 20 Gbps and 10 Gbps Type‑C and Type‑A ports, and confirm the operating‑system language and licensing suit your deployment.

Thermals, noise and power draw

A 240 mm quiet‑edition liquid cooler handles the CPU while a 140 mm fan in the 850 W 80 PLUS Bronze power supply keeps airflow low‑noise under typical workstation loads. The Corsair 4000D tempered‑glass case provides internal 3.5‑inch and 2.5‑inch bays for the installed drives, and the liquid‑cooling loop is designed for sustained operation without excessive acoustic output.

Fordele

  • 14-core Intel Core Ultra 5 245K CPU reaches 5.20 GHz for heavy workloads
  • 192GB DDR5 memory handles large datasets without swapping
  • 4TB NVMe SSD delivers 7450 MB/s reads for instant project loading
  • 10TB HDD with 256MB cache stores massive asset libraries locally
  • RTX PRO 4000 Blackwell 24GB GPU accelerates AI and CAD rendering

Specifikationer

Release Year2026
TypeBusiness Desktops & Workstations
Form FactorDesktop
UsageWorkstation
ColorBlack
Ethernet2.5G Ethernet
MonitorMonitor not included
Cooling SystemLiquid Cooling
Operating SystemWindows 11 Pro 64-bit
AI FeaturesAI Ready
CPU TypeIntel Core Ultra 5
CPU NameIntel Core Ultra 5 245K
CPU Socket TypeLGA 1851
GPU/VGA TypeNvidia RTX PRO 4000 Blackwell
Graphics InterfacePCI Express x16
Virtual Reality ReadyYes
Memory Capacity192GB DDR5
Maximum Memory Supported192 GB
SSD4TB 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

Spørgsmål om denne vare

What comes in the box and do I need to buy a monitor or any cables separately?

The desktop ships with the Corsair 4000D case, 850W power supply, liquid cooler, motherboard, 192GB DDR5 RAM, 4TB Samsung 990 PRO NVMe SSD, 10TB hard drive, RTX PRO 4000 Blackwell 24GB GPU, Windows 11 Pro 64-bit, Wi-Fi 7 and Bluetooth 5.4 antennas, and a power cord. A monitor is not included and must be purchased separately.

The listing mentions 192GB DDR5 RAM and 4TB NVMe SSD — are those the maximum supported or can they be upgraded later?

The motherboard supports up to 192GB of DDR5, so the installed 192GB is already the maximum. The board provides four M.2 slots; one is occupied by the 4TB Samsung 990 PRO NVMe SSD, leaving three free for additional NVMe drives. Four SATA ports are also available for extra SSDs or hard drives.

What does the 24GB GPU memory on the RTX PRO 4000 Blackwell mean for real-world CAD and AI workloads?

The 24GB of video memory on the RTX PRO 4000 Blackwell allows large assemblies, high-resolution textures and sizable AI models to stay entirely in GPU memory, reducing reliance on system RAM and keeping viewport performance smooth during complex SolidWorks sessions or local inference tasks.

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