{"product_id":"ordinaryvertex-4000-plus-9950x-ai-workstation-pc","title":"OrdinaryVertex 4000 Plus - AI Workstation PC | Ryzen 9950X | RTX PRO 4000 24GB | 96GB DDR5","description":"\u003cp\u003eThe \u003cstrong\u003eOrdinaryVertex 4000 Plus\u003c\/strong\u003e is an upper mid-range AI workstation PC that gives Canadian developers a faster, better-connected way to run LLM inference, fine-tuning, RAG, and machine learning pipelines on hardware they own, rather than on metered cloud GPUs and per-token APIs. Powered by the AMD Ryzen™ 9 9950X with 16 cores, NVIDIA RTX PRO 4000 Blackwell 24GB GDDR7 ECC, and 96GB of DDR5 memory, Vertex Plus adds 10GbE networking to pull datasets from network storage quickly, while your models and proprietary data stay on your premises.\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 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, with 96GB of system memory behind it for supporting workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFine-tuning and training:\u003c\/strong\u003e Fine-tune on your own data whenever your team is ready instead of renting cloud GPUs by the hour, with 96GB of DDR5-6000 system memory to stage larger datasets and batches.\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 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.\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 16 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 9950X (16C\/32T)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU:\u003c\/strong\u003e NVIDIA RTX PRO 4000 Blackwell 24GB GDDR7 ECC (140W, single-slot)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotherboard:\u003c\/strong\u003e ASUS ProArt X870E-Creator WiFi (10GbE, dual PCIe 5.0 x8)\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 CORSAIR FRAME 4000D WOOD RS Modular High Airflow Mid-Tower PC Case\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Supply:\u003c\/strong\u003e be quiet! Pure Power 12 M 850W, 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 4000 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":67853793165549,"sku":null,"price":10999.0,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/0800\/6893\/files\/ordinaryvertex-4000-plus-hero.png?v=1793057090","url":"https:\/\/ordinarytech.ca\/products\/ordinaryvertex-4000-plus-9950x-ai-workstation-pc","provider":"OrdinaryTech","version":"1.0","type":"link"}