Description
Leverage Ryzen 9 9950X 16C 4.3GHz to accelerate inference workloads and keep experimentation responsive.
Store massive training sets locally with 8TB NVMe SSD (2x4TB RAID) and maintain zero-latency iteration cycles.
From data prep to deployment, this configuration stays versatile for AI creators who demand predictable performance.
Selected Configuration
- Configured CPU: Ryzen 9 9950X 16C 4.3GHz
- Configured NVMe Storage: 8TB NVMe SSD (2x4TB RAID)
Push the limits of AI computing, deep learning, and large-scale data processing with the ArsenalPC MES2X dual-GPU AI workstation.
Built for professionals in AI development, data science, and machine learning, this advanced workstation delivers extreme speed, reliability, and scalability for complex workloads.
Powered by dual NVIDIA GeForce RTX 5090 GPUs, the MES2X provides outstanding acceleration for deep learning, 3D rendering, and multi-model training. With 256 GB of high-speed DDR5 memory, it handles massive datasets and multi-tasking with ease, keeping projects responsive under continuous load.
A 360 mm liquid cooling system maintains stable thermals and quiet operation during sustained training sessions. The 1600-watt power supply supports demanding multi-GPU and high-core CPU setups, enabling true parallel compute performance for intensive AI workflows.
Choose between 4 TB or up to 8 TB NVMe SSD storage for rapid data access, model caching, and scalable project storage. Every MES2X ships with Windows 11 Pro pre-installed, creating a secure and optimized environment for professional AI deployment. Integrated Wi-Fi and customizable RGB lighting complete a modern design that looks as powerful as it performs.
Frequently Asked Questions
Is the MES2X Dual GPU AI Workstation good for deep learning and model training?
Yes. The MES2X is engineered for demanding AI workloads with dual NVIDIA RTX GPUs, high-wattage power delivery, and validation against TensorFlow and PyTorch benchmarks.
Why choose an 8TB NVMe SSD for AI and data science workloads?
Large NVMe capacity keeps massive datasets, checkpoints, and logs on-device for faster iteration. 8TB is ideal when you work with multi-terabyte corpora or rotating experiment branches.
How does the MES2X compare to a cloud-based AI training setup?
Local workstations deliver consistent performance, predictable costs, and data privacy. The MES2X eliminates usage-based fees while keeping compute immediately available.
How much RAM do I need for dual high end GPUs?
128 GB is a strong baseline. 256 GB keeps aggressive dataloaders, augmentation pipelines, and multi-model experiments from bottlenecking the GPUs.
How do 4TB and 8TB NVMe options affect real timelines?
8TB keeps more datasets and caches local, cutting re-downloads and minimizing time between experiments—especially for teams iterating on many branches.
Is the MES2X also good for rendering, simulation, and creative work?
Yes. Dual high-end GPUs excel in GPU renders and real-time engines, letting creators switch between AI training and visualization workflows seamlessly.
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