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OrdinaryTech

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

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

Full Specs & Features Below

Regular price $9,999.00 CAD
Regular price Sale price $9,999.00 CAD
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Low stock: 3 left

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Key Specs & Features

The OrdinaryVertex Nano is a compact AI workstation PC that brings 24GB of GPU memory into a 26.3L micro form factor chassis, so Canadian developers can run LLM inference, fine-tuning, RAG, and machine learning pipelines on hardware they own without giving up desk space or paying for metered cloud GPUs. Powered by the AMD Ryzen™ 9 9900X with 12 cores, NVIDIA RTX PRO 4000 Blackwell SFF 24GB GDDR7 ECC, and 64GB of DDR5 memory, Vertex Nano keeps your models and proprietary data on your premises in a system small enough to sit almost anywhere.

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, on a low-profile 70W card suited to a small chassis.
  • 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 that fits on a desk or in a shared lab keeps prompts, models, and proprietary data in-house without relying on cloud services.
  • 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 prototypes get from idea to result sooner.
  • 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: Run containerized services and concurrent jobs on 12 cores and 64GB of RAM in a single small machine, instead of dedicating extra hosts to each tool.

Full Specifications

  • CPU: AMD Ryzen™ 9 9900X (12C/24T)
  • GPU: NVIDIA RTX PRO 4000 Blackwell SFF 24GB GDDR7 ECC (70W, low-profile)
  • Motherboard: ASUS ROG Strix B850-I Gaming WiFi (Mini-ITX)
  • Memory: DDR5-6000 64GB (2x32GB) CL30
  • Storage: Lexar EQ790 2TB SSD
  • Cooling: Noctua NH-L12Sx77 low-profile cooler
  • Case: Lian Li A3-mATX-WD-26.3L Micro Form Factor Chassis
  • Power Supply: Corsair SF750 SFX 80+ Platinum
  • 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.

What's covered under the OrdinaryTech warranty?
Every OrdinaryVertex Nano 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.