{"product_id":"ordinaryvertex-2000-plus-9900x-ai-workstation-pc","title":"OrdinaryVertex 2000 Plus - AI Workstation PC | Ryzen 9900X | RTX PRO 2000 16GB | 96GB DDR5","description":"\u003cp\u003eThe \u003cstrong\u003eOrdinaryVertex 2000 Plus\u003c\/strong\u003e is an AI workstation PC for Canadian developers who want more memory and storage headroom without stepping up to a full workstation platform, running LLM inference, fine-tuning, RAG, and machine learning pipelines on hardware they own rather than on metered cloud services. Powered by the AMD Ryzen™ 9 9900X with 12 cores, NVIDIA RTX PRO 2000 Blackwell 16GB GDDR7 ECC, and 96GB of DDR5 memory, Vertex Plus pairs a low-profile GPU with a 360mm AiO-cooled CPU, so your data stays on your premises and your system stays ready for the next job.\u003c\/p\u003e\n\u003ch2\u003eAI Development Use Cases\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eLarge-model inference:\u003c\/strong\u003e Serve models from 16GB 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 the GPU.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFine-tuning and training:\u003c\/strong\u003e Adapt models to your own data without paying for cloud GPUs by the hour, with 96GB of DDR5-6000 system memory to stage larger datasets and batches within the 16GB VRAM limit.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLocal and private AI:\u003c\/strong\u003e 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.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRAG and enterprise AI applications:\u003c\/strong\u003e Turn internal documents into a searchable AI knowledge base, hosting vector databases in 96GB of system memory with a 4TB Lexar EQ790 SSD for indexes, source files, and checkpoints.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMachine learning and data science:\u003c\/strong\u003e The 12-core, 24-thread Ryzen™ 9 9900X speeds up data loading, preprocessing, and feature engineering for in-memory datasets, so your GPU spends less time idle.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI research and experimentation:\u003c\/strong\u003e ECC memory on the GPU helps protect runs from silent errors, so fewer experiments need repeating while you iterate on models and prompts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMLOps, containers and virtualization:\u003c\/strong\u003e Consolidate containerized services and concurrent jobs onto 12 cores and 96GB of RAM, rather than paying to run and maintain separate hosts.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eCPU:\u003c\/strong\u003e AMD Ryzen™ 9 9900X (12C\/24T)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU:\u003c\/strong\u003e NVIDIA RTX PRO 2000 Blackwell 16GB GDDR7 ECC (70W, low-profile)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotherboard:\u003c\/strong\u003e ASUS TUF Gaming X870-Plus WiFi (ATX)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e DDR5-6000 96GB (2x48GB) CL30\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage:\u003c\/strong\u003e Lexar EQ790 4TB SSD\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCooling:\u003c\/strong\u003e be quiet! Pure Loop 3 360mm AiO\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCase:\u003c\/strong\u003e Fractal Design North ATX - Charcoal Black Chassis with Walnut Front and Mesh Side Panel\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Supply:\u003c\/strong\u003e be quiet! Pure Power 12 M 750W, ATX 3.1, 80+ Gold\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating System:\u003c\/strong\u003e Windows 11 Pro\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eCan I customize the components?\u003c\/strong\u003e\u003cbr\u003eYes — every component can be customized to match your preferred brands, specifications, AI workload, or budget.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan I add more RAM or storage?\u003c\/strong\u003e\u003cbr\u003eYes — memory and storage can be upgraded or reconfigured based on your AI workload and future expansion needs.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTower or rackmount — which should I choose?\u003c\/strong\u003e\u003cbr\u003eChoose a tower for desk, lab, or office use, or have the same configuration built in a rackmount chassis for server rooms and centralized deployments.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat's covered under the OrdinaryTech warranty?\u003c\/strong\u003e\u003cbr\u003eEvery OrdinaryVertex 2000 Plus 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.\u003c\/p\u003e\n\u003cp\u003e👉 \u003ca href=\"https:\/\/ordinarytech.ca\/pages\/workstation\"\u003eExplore our full lineup of custom workstations and enterprise servers in Canada\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e👉 Looking for a fully custom deployment? \u003ca href=\"https:\/\/ordinarytech.ca\/pages\/contact\"\u003eContact us\u003c\/a\u003e to configure your own system.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003ePlease 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.\u003c\/em\u003e\u003c\/p\u003e","brand":"OrdinaryTech","offers":[{"title":"Default Title","offer_id":67853774651629,"sku":null,"price":8299.0,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/0800\/6893\/files\/ordinaryvertex-2000-plus-hero_a59d9eed-c647-4b41-9c94-4369d1b129fd.png?v=1793056878","url":"https:\/\/ordinarytech.ca\/products\/ordinaryvertex-2000-plus-9900x-ai-workstation-pc","provider":"OrdinaryTech","version":"1.0","type":"link"}