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OrdinaryTech

OrdinaryVertex 4000 - AI Workstation PC | Ryzen 9 | RTX PRO 4000 24GB | 64GB DDR5

OrdinaryVertex 4000 - AI Workstation PC | Ryzen 9 | RTX PRO 4000 24GB | 64GB DDR5

Full Specs & Features Below

Regular price $8,999.00 CAD
Regular price Sale price $8,999.00 CAD
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Low stock: 3 left

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Key Specs & Features

The OrdinaryVertex 4000 is a mid-range AI workstation PC that lets Canadian developers run LLM inference, fine-tuning, RAG, and machine learning pipelines on 24GB of GPU memory they own — turning open-ended cloud GPU and API spend into a single system that is ready whenever the work is. Powered by the AMD Ryzen™ 9 9900X with 12 cores, NVIDIA RTX PRO 4000 Blackwell 24GB GDDR7 ECC, and 64GB of DDR5 memory, Vertex delivers a capable single-GPU platform where your models and proprietary data never leave your premises.

AI Development Use Cases

  • Large-model inference: Serve models from 24GB of GDDR7 ECC VRAM with no per-token fees, no rate limits, and no sensitive data leaving your network. The VRAM sets the model sizes that fit, and the single-slot card keeps the build compact.
  • Fine-tuning and training: Fine-tune on your own data whenever you are ready instead of renting cloud GPUs by the hour, with 64GB of DDR5-6000 system memory to stage datasets and batches within the 24GB VRAM limit.
  • Local and private AI: An on-premises AI desktop workstation keeps prompts, models, and proprietary data in-house, so you can adopt AI without adding third-party data exposure.
  • RAG and enterprise AI applications: Turn internal documents into a searchable AI knowledge base using 64GB of system memory for vector databases and a 2TB Lexar EQ790 SSD for indexes and source files.
  • Machine learning and data science: The 12-core, 24-thread Ryzen™ 9 9900X speeds up data loading, preprocessing, and feature engineering ahead of GPU-accelerated work, so your team gets through more experiments in a working day.
  • 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 12 cores and 64GB of RAM, rather than paying to run and maintain separate hosts.

Full Specifications

  • CPU: AMD Ryzen™ 9 9900X (12C/24T)
  • GPU: NVIDIA RTX PRO 4000 Blackwell 24GB GDDR7 ECC (140W, single-slot)
  • Motherboard: ASUS TUF Gaming X870-Plus WiFi (ATX)
  • Memory: DDR5-6000 64GB (2x32GB) CL30
  • Storage: Lexar EQ790 2TB SSD
  • Cooling: be quiet! Pure Loop 3 360mm AiO
  • Case: Fractal Design North ATX - Charcoal Black Chassis with Walnut Front and Mesh Side Panel
  • Power Supply: be quiet! Pure Power 12 M 850W, ATX 3.1, 80+ Gold
  • 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 4000 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.