{"product_id":"ordinaryapex-rtx-pro-2000-9960x-ai-workstation-pc","title":"OrdinaryApex RTX PRO 2000 - AI Workstation PC | Threadripper | 64GB DDR5","description":"\u003cp\u003eThe \u003cstrong\u003eOrdinaryApex RTX PRO 2000\u003c\/strong\u003e is an entry-level AI workstation PC that lets Canadian teams run LLM inference, fine-tuning, RAG, and machine learning pipelines on hardware they own — replacing open-ended cloud GPU rental and per-token API billing with one dependable system that is always ready. Powered by the AMD Ryzen™ Threadripper™ 9960X with 24 cores, NVIDIA RTX PRO 2000 Blackwell 16GB GDDR7 ECC, and 64GB of DDR5 ECC memory, OrdinaryApex gives you a low-profile, efficient starting point for bringing AI development in-house, with your models and proprietary data staying 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 16GB of GDDR7 ECC VRAM on your own hardware — no per-token API 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, using 64GB of DDR5-6400 ECC system memory to stage 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, which simplifies privacy and compliance conversations before they start.\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 using 64GB of ECC system memory for vector databases and a 2TB Lexar EQ790 SSD for indexes and source files.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMachine learning and data science:\u003c\/strong\u003e With 24 cores and 48 threads, the Threadripper™ 9960X keeps data loading and preprocessing from becoming the bottleneck, so the GPU spends more of your day doing useful work.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI research and experimentation:\u003c\/strong\u003e ECC memory on both the GPU and the system RAM helps protect long runs from silent errors, so fewer experiments need to be repeated and results stay reproducible.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMLOps, containers and virtualization:\u003c\/strong\u003e Run containerized services and concurrent jobs on 24 cores and 64GB of RAM in one machine, rather than standing up extra hosts for every tool.\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™ Threadripper™ 9960X (24C\/48T, 4-ch)\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 Pro WS TRX50-SAGE WiFi\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e NEMIX RAM 64GB 4x16GB DDR5-6400 ECC RDIMM\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage:\u003c\/strong\u003e Lexar EQ790 2TB SSD\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCooling:\u003c\/strong\u003e Silverstone Technology XE360-TR5\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCase:\u003c\/strong\u003e Thermaltake AX500 TG\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Supply:\u003c\/strong\u003e be quiet! Dark Power 13 1000W, ATX 3.1, 80+ Titanium\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 OrdinaryApex RTX PRO 2000 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":67853739557101,"sku":null,"price":12899.0,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/0800\/6893\/files\/ordinaryapex-rtx-pro-2000-hero.png?v=1793055030","url":"https:\/\/ordinarytech.ca\/products\/ordinaryapex-rtx-pro-2000-9960x-ai-workstation-pc","provider":"OrdinaryTech","version":"1.0","type":"link"}