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ArsenalPC

ArsenalPC MES2X Dual GPU Workstation Ryzen 9 9950X Dual RTX 5090 8TB 256GB DDR5 1600W Win 11 Liquid Cooled

SKU CH-G8ME-W2WAH

A 16-core Ryzen 9 9950X desktop pairs dual RTX 5090 GPUs with 256 GB DDR5 and 8 TB NVMe storage, cooled by a 360 mm liquid loop and a 1600 W supply

  • AI FeaturesThis configuration combines AMD Ryzen 9 9950X with Dual GPU

CPU AMD Ryzen 9 9950X

Storage 8TB SSD

Video Card Dual GPU GeForce RTX 5090

  • 16-core Ryzen 9 9950X at 4.3GHz powers heavy multi-threaded workloads
  • Dual RTX 5090 GPUs with GDDR7 memory accelerate AI and rendering tasks
  • 256GB DDR5 RAM across four modules handles massive datasets
  • 8TB NVMe SSD storage in RAID configuration delivers high-speed capacity
  • 360mm liquid cooler and 1600W supply sustain peak performance under load

Dual GPU Workstation for AI and Creator Workloads

This system pairs an AMD Ryzen 9 9950X processor with dual GeForce RTX 5090 graphics cards for intensive AI, machine learning and rendering tasks. Sixteen cores at 4.3 GHz provide strong multi-threaded throughput while 256 GB of DDR5 memory keeps large datasets in fast RAM. The 8 TB NVMe SSD array stores active projects without bottlenecks. It is not suited for buyers who need a compact form factor or a lower power envelope.

Pre-built Liquid Cooled Assembly

The workstation arrives fully assembled with a 360 mm liquid cooler already mounted on the CPU, so no cooler installation is required. Dual GPU seating and the 1600 W power supply connections are completed at the factory. Builders who prefer to select their own cooling loop or custom cable routing cannot modify those choices after delivery. Components brands may vary between units.

256 GB DDR5 and 8 TB NVMe Headroom

Four 64 GB DDR5 modules fill the memory slots, giving ample capacity for large language models, simulation data and high-resolution texture sets. The dual 4 TB NVMe SSD RAID array delivers fast sequential throughput for scratch disks and model checkpoints. Workloads that exceed 256 GB of system memory or require more than 8 TB of high-speed local storage will need external expansion. The 1600 W unit powers the configured hardware; additional accelerators would exceed its rated output.

Pluspunten

  • 16-core Ryzen 9 9950X at 4.3GHz powers heavy multi-threaded workloads
  • Dual RTX 5090 GPUs with GDDR7 memory accelerate AI and rendering tasks
  • 256GB DDR5 RAM across four modules handles massive datasets
  • 8TB NVMe SSD storage in RAID configuration delivers high-speed capacity
  • 360mm liquid cooler and 1600W supply sustain peak performance under load

Specificaties

AI FeaturesThis configuration combines AMD Ryzen 9 9950X with Dual GPU GeForce RTX 5090, giving you a 16-core Ryzen 9 processor with strong multi-threaded performance for creator and workstation workloads. With two GeForce RTX 5090 cards, this build is positioned for extremely fast local AI and high-end creation, making it a strong choice for diffusion-style image work, local model experimentation, 4K creation, and heavy productivity. Best fit: creators and power users who want very fast local AI performance without giving up flagship gaming capability. Great for local AI testing, creator proje

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How do I confirm both GeForce RTX 5090 GPUs are detected after first boot?

Open Windows Device Manager and expand Display adapters; two GeForce RTX 5090 entries should appear, then run nvidia-smi in a command window to verify both GPUs report GDDR7 memory and driver version.

What ships inside the box and what must I source myself?

The system arrives fully assembled with the Ryzen 9 9950X installed under a 360 mm liquid cooler, four 64 GB DDR5 modules totalling 256 GB, two 4 TB NVMe SSDs configured in RAID for 8 TB, dual GeForce RTX 5090 cards, a 1600 W power supply and Windows 11 pre-installed; only a monitor, keyboard and mouse are required separately.

Which capacity tier should I choose for AI model training workloads?

The single configuration listed provides 256 GB DDR5 memory and 8 TB NVMe RAID storage paired with dual GeForce RTX 5090 GDDR7 GPUs, delivering the maximum VRAM and dataset capacity available in this workstation line.

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