OrdinaryVertex Max-Q - AI Workstation PC | Ryzen 9 | RTX PRO 6000 Max-Q 96GB | 256GB DDR5

The OrdinaryVertex Max-Q is a top-tier AI workstation PC that puts 96GB of GPU memory and 256GB of system memory on a desktop platform, so Canadian developers and teams can run large-model inference, fine-tuning, RAG, and machine learning pipelines without metered cloud GPU time or per-token API billing. Powered by the AMD Ryzen™ 9 9950X with 16 cores, PNY NVIDIA RTX PRO 6000 Blackwell Max-Q 96GB GDDR7 ECC, and 256GB of DDR5 memory, Vertex Max-Q adds 10GbE networking for fast dataset transfers, with every model and dataset staying on your premises and ready whenever your team is.

AI Development Use Cases

• Large-model inference: Run large models from 96GB of GDDR7 ECC VRAM on a single GPU with no per-token fees, no rate limits, and no sensitive data leaving your network. The VRAM sets the model sizes that fit, and more capacity means fewer compromises.
• Fine-tuning and training: Fine-tune on your own data whenever your team is ready instead of renting cloud GPUs by the hour, using 96GB of VRAM and 256GB of DDR5 system memory to stage large datasets and batches.
• Local and private AI: An on-premises AI desktop workstation keeps prompts, models, and proprietary data in-house, so sensitive projects can move forward without third-party exposure.
• RAG and enterprise AI applications: Turn internal documents into a searchable AI knowledge base, hosting large vector databases in 256GB of system memory with a 4TB Lexar EQ790 SSD for indexes, source files, and checkpoints.
• Machine learning and data science: The 16-core, 32-thread Ryzen™ 9 9950X speeds up data loading and preprocessing, while 10GbE shortens the time it takes to move datasets in from network storage.
• AI research and experimentation: ECC memory on the GPU helps protect runs from silent errors, so fewer experiments need repeating while you iterate on models and prompts.
• MLOps, containers and virtualization: Consolidate containerized services and concurrent jobs onto 16 cores and 256GB of RAM, rather than paying to run and maintain separate hosts.
• AI model serving for teams: Give your team an always-on internal endpoint backed by 96GB of VRAM — one shared system instead of a cloud subscription for every user.

Full Specifications

• CPU: AMD Ryzen™ 9 9950X (16C/32T)
• GPU: PNY NVIDIA RTX PRO 6000 Blackwell Max-Q 96GB GDDR7 ECC (300W blower)
• Motherboard: ASUS ProArt X870E-Creator WiFi (10GbE, dual PCIe 5.0 x8)
• Memory: G.SKILL Flare X5 Series (AMD Expo) DDR5 RAM 256GB (4X 64GB) 6000MT/s CL36-44-44-96 1.25V
• Storage: Lexar EQ790 4TB SSD
• Cooling: be quiet! Pure Loop 3 360mm AiO
• Case: Fractal Design Meshify 3 XL
• Power Supply: be quiet! Dark Power 14 1200W, ATX 3.1, PCIe 5.1, 80+ Titanium
• Operating System: Windows 11 Pro

FAQ

Can I customize the components?
Yes — every component can be customized to match your preferred brands, specifications, AI workload, or budget.

Can I add more RAM or storage?
Yes — memory and storage can be upgraded or reconfigured based on your AI workload and future expansion needs.

Tower or rackmount — which should I choose?
Choose a tower for desk, lab, or office use, or have the same configuration built in a rackmount chassis for server rooms and centralized deployments.

What's covered under the OrdinaryTech warranty?
Every OrdinaryVertex Max-Q includes up to 3 years of warranty coverage under our business and enterprise terms, with local Canadian support, plus pre-shipping stress testing and quality checks.

👉 Explore our full lineup of custom workstations and enterprise servers in Canada

👉 Looking for a fully custom deployment? Contact us to configure your own system.

Please note: Component prices and stock availability may vary due to ongoing GPU, RAM, and SSD supply fluctuations. Placing an order does not lock pricing — our team will contact you right away after checkout to confirm all details and any adjustments.