• Processor

    Intel Core i9-14900K 24-Core 32-Thread (6.0GHz Max Boost)

    CPU Cooler

    Deepcool / VRLA Tech Castle 360EX Liquid Cooler AIO – Black

    Memory(RAM)

    RGB 32GB (2 x 16GB) DDR5 6000MHz

    Graphics Card

    GeForce RTX 4090

    Storage

    2TB M.2 PCIe NVMe SSD

    Motherboard

    Z790 Intel Motherboard

    Operating System

    Windows 11 Activated

    Power Supply (PSU)

    EVGA 1000W 80+ Power Supply

    Fans

    9 x LIAN LI UNI Fan SL Infinity Mirror ARGB Fans

    Networking

    WiFi Included

Weight40 lbs
Dimensions27 × 12 × 23 in
Warranty

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U.S Based Support
Based in Los Angeles, our U.S.-based engineering team supports customers across the United States, Canada, and globally. You get direct access to real engineers, fast response times, and rapid deployment with reliable parts availability and professional service for mission-critical systems.
Expert Guidance You Can Trust
Companies rely on our engineering team for optimal hardware configuration, CUDA and model compatibility, thermal and airflow planning, and AI workload sizing to avoid bottlenecks. The result is a precisely built system that maximizes performance, prevents misconfigurations, and eliminates unnecessary hardware overspend.
Reliable 24/7 Performance
Every system is fully tested, thermally validated, and burn-in certified to ensure reliable 24/7 operation. Built for long AI training cycles and production workloads, these enterprise-grade workstations minimize downtime, reduce failure risk, and deliver consistent performance for mission-critical teams.
Future Proof Hardware
Built for AI training, machine learning, and data-intensive workloads, our high-performance workstations eliminate bottlenecks, reduce training time, and accelerate deployment. Designed for enterprise teams, these scalable systems deliver faster iteration, reliable performance, and future-ready infrastructure for demanding production environments.
Engineers Need Faster Iteration
Slow training slows product velocity. Our high-performance systems eliminate queues and throttling, enabling instant experimentation. Faster iteration and shorter shipping cycles keep engineers unblocked, operating at startup speed while meeting enterprise demands for reliability, scalability, and long-term growth today globally.
Cloud Cost are Insane
Cloud GPUs are convenient, until they become your largest monthly expense. Our workstations and servers often pay for themselves in 4–8 weeks, giving you predictable, fixed-cost compute with no surprise billing and no resource throttling.