{"product_id":"flagship-ai-render-workstation-threadripper-pro-9965wx-dual-rtx-pro-6000-96gb-custom-built-computer","title":"Flagship AI \u0026 Render Workstation | Threadripper PRO 9965WX | Dual RTX PRO 6000 96GB | Custom Built Computer","description":"\u003c!-- Hidden spec markers consumed by product-item.liquid pill extractor --\u003e\n\u003cdiv style=\"display:none;\" aria-hidden=\"true\"\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e256GB DDR5 ECC RDIMM (8x32GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB Gen5 NVMe + 4TB Gen4 NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\n\u003cdiv style=\"width:100vw;margin-left:calc(-50vw + 50%);margin-right:calc(-50vw + 50%);box-sizing:border-box;padding-left:clamp(16px,2.5vw,48px);padding-right:clamp(16px,2.5vw,48px);background:linear-gradient(135deg,#0f172a 0%,#1e293b 100%);color:#fff;padding-top:56px;padding-bottom:56px;\"\u003e\n  \u003cdiv style=\"max-width:1100px;margin:0 auto;text-align:center;\"\u003e\n    \u003cp style=\"font-size:12px;font-weight:800;text-transform:uppercase;letter-spacing:.16em;color:#60a5fa;margin:0 0 16px;\"\u003eFlagship Workstation\u003c\/p\u003e\n    \u003ch2 style=\"font-size:36px;line-height:1.2;color:#fff;margin:0 0 16px;font-weight:800;\"\u003e192 GB of GPU Memory. 24 Zen 5 Cores. Zero Compromise.\u003c\/h2\u003e\n    \u003cp style=\"font-size:18px;line-height:1.65;color:#cbd5e1;margin:0 auto;max-width:840px;\"\u003eTwo NVIDIA RTX PRO 6000 Blackwell Max-Q cards, an AMD Ryzen Threadripper PRO 9965WX, 256 GB of DDR5 ECC memory, and a 13,600 MB\/s PCIe Gen5 NVMe boot drive. Built for serious AI training, multi-GPU rendering, scientific compute, and the most demanding production workloads.\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv style=\"width:100vw;margin-left:calc(-50vw + 50%);margin-right:calc(-50vw + 50%);box-sizing:border-box;padding-left:clamp(16px,2.5vw,48px);padding-right:clamp(16px,2.5vw,48px);background:#ffffff;padding-top:56px;padding-bottom:56px;\"\u003e\n  \u003cdiv style=\"max-width:1100px;margin:0 auto;\"\u003e\n    \u003ch3 style=\"font-size:24px;margin:0 0 28px;color:#0f172a;font-weight:800;text-align:center;\"\u003eBuild Specifications\u003c\/h3\u003e\n    \u003ctable style=\"width:100%;border-collapse:collapse;border:1px solid #e2e8f0;border-radius:12px;overflow:hidden;\"\u003e\n      \u003ctbody\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003eAMD Ryzen Threadripper PRO 9965WX\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eCPU Cooler\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003ebe quiet! SILENT LOOP 3 — 420 mm AIO\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eMotherboard\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003eASUS Pro WS WRX90E-SAGE SE Workstation\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003ePrimary GPU\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q — 96 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eSecondary GPU\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q — 96 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003e256 GB DDR5 ECC RDIMM — 8 × 32 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eBoot Drive\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003eCrucial T705 1 TB PCIe Gen5 NVMe — up to 13,600 MB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eSecondary Storage\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003eLexar EQ790 4 TB PCIe Gen4 NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003e1600 W ATX 3.1 — 80 PLUS Titanium · 2 × 12VHPWR included\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eCase\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003eFractal Design Define 7 XL Black — Brushed Aluminum \/ Steel E-ATX Full Tower, Tempered Glass\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#475569;font-size:14px;width:34%;\"\u003eCase Fans\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;border-bottom:1px solid #e2e8f0;color:#0f172a;font-size:15px;font-weight:600;\"\u003e4 × Noctua NF-A14x25 G2 PWM chromax.Black (140 mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003ctr\u003e\n\u003ctd style=\"padding:14px 12px;color:#475569;font-size:14px;width:34%;\"\u003eOperating System\u003c\/td\u003e\n\u003ctd style=\"padding:14px 12px;color:#0f172a;font-size:15px;font-weight:600;\"\u003eConfigurable — Windows 11 Pro for Workstations, Windows Server, or Linux\u003c\/td\u003e\n\u003c\/tr\u003e\n      \u003c\/tbody\u003e\n    \u003c\/table\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv style=\"width:100vw;margin-left:calc(-50vw + 50%);margin-right:calc(-50vw + 50%);box-sizing:border-box;padding-left:clamp(16px,2.5vw,48px);padding-right:clamp(16px,2.5vw,48px);background:#f8fafc;padding-top:56px;padding-bottom:56px;\"\u003e\n  \u003cdiv style=\"max-width:1100px;margin:0 auto;\"\u003e\n    \u003ch3 style=\"font-size:24px;margin:0 0 28px;color:#0f172a;font-weight:800;text-align:center;\"\u003eWhat It's Built For\u003c\/h3\u003e\n    \u003cdiv style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(280px,1fr));gap:18px;\"\u003e\n      \u003cdiv style=\"background:#fff;border:1px solid #e2e8f0;border-radius:12px;padding:24px;\"\u003e\n    \u003ch4 style=\"margin:0 0 10px;font-size:16px;color:#0f172a;font-weight:800;line-height:1.3;\"\u003eAI Training \u0026amp; Inference\u003c\/h4\u003e\n    \u003cp style=\"margin:0;font-size:14px;color:#475569;line-height:1.65;\"\u003e192 GB of GPU memory across two cards handles 70B+ parameter LLMs, diffusion-model fine-tuning, and multi-GPU PyTorch \/ CUDA workloads.\u003c\/p\u003e\n  \u003c\/div\u003e\n      \u003cdiv style=\"background:#fff;border:1px solid #e2e8f0;border-radius:12px;padding:24px;\"\u003e\n    \u003ch4 style=\"margin:0 0 10px;font-size:16px;color:#0f172a;font-weight:800;line-height:1.3;\"\u003e8K Production \u0026amp; VFX\u003c\/h4\u003e\n    \u003cp style=\"margin:0;font-size:14px;color:#475569;line-height:1.65;\"\u003eReal-time 8K editing, color grading, and compositing in DaVinci Resolve, Premiere Pro, and Nuke — no proxies required.\u003c\/p\u003e\n  \u003c\/div\u003e\n      \u003cdiv style=\"background:#fff;border:1px solid #e2e8f0;border-radius:12px;padding:24px;\"\u003e\n    \u003ch4 style=\"margin:0 0 10px;font-size:16px;color:#0f172a;font-weight:800;line-height:1.3;\"\u003e3D Rendering \u0026amp; Simulation\u003c\/h4\u003e\n    \u003cp style=\"margin:0;font-size:14px;color:#475569;line-height:1.65;\"\u003eOctane, Redshift, V-Ray RT, Unreal Engine 5, and Houdini with dual-GPU acceleration across the entire render pipeline.\u003c\/p\u003e\n  \u003c\/div\u003e\n      \u003cdiv style=\"background:#fff;border:1px solid #e2e8f0;border-radius:12px;padding:24px;\"\u003e\n    \u003ch4 style=\"margin:0 0 10px;font-size:16px;color:#0f172a;font-weight:800;line-height:1.3;\"\u003eCAD, CAE \u0026amp; Engineering\u003c\/h4\u003e\n    \u003cp style=\"margin:0;font-size:14px;color:#475569;line-height:1.65;\"\u003eSolidWorks, CATIA, ANSYS, Abaqus, and finite-element analysis backed by ECC memory and NVIDIA RTX PRO driver certification.\u003c\/p\u003e\n  \u003c\/div\u003e\n      \u003cdiv style=\"background:#fff;border:1px solid #e2e8f0;border-radius:12px;padding:24px;\"\u003e\n    \u003ch4 style=\"margin:0 0 10px;font-size:16px;color:#0f172a;font-weight:800;line-height:1.3;\"\u003eScientific \u0026amp; HPC\u003c\/h4\u003e\n    \u003cp style=\"margin:0;font-size:14px;color:#475569;line-height:1.65;\"\u003eMolecular dynamics, genomics, and quantitative finance — 24 Zen 5 cores and dual Blackwell CUDA engines for parallel compute at scale.\u003c\/p\u003e\n  \u003c\/div\u003e\n      \u003cdiv style=\"background:#fff;border:1px solid #e2e8f0;border-radius:12px;padding:24px;\"\u003e\n    \u003ch4 style=\"margin:0 0 10px;font-size:16px;color:#0f172a;font-weight:800;line-height:1.3;\"\u003eVirtualization \u0026amp; Server\u003c\/h4\u003e\n    \u003cp style=\"margin:0;font-size:14px;color:#475569;line-height:1.65;\"\u003eRun GPU-passthrough VMs, Docker containers, Kubernetes nodes, or render-farm slaves on a single chassis.\u003c\/p\u003e\n  \u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv style=\"width:100vw;margin-left:calc(-50vw + 50%);margin-right:calc(-50vw + 50%);box-sizing:border-box;padding-left:clamp(16px,2.5vw,48px);padding-right:clamp(16px,2.5vw,48px);background:#0f172a;color:#fff;padding-top:56px;padding-bottom:56px;\"\u003e\n  \u003cdiv style=\"max-width:1100px;margin:0 auto;text-align:center;\"\u003e\n    \u003ch3 style=\"font-size:24px;margin:0 0 16px;color:#fff;font-weight:800;\"\u003eOperating System — Your Choice\u003c\/h3\u003e\n    \u003cp style=\"font-size:16px;color:#cbd5e1;margin:0 auto;max-width:780px;line-height:1.7;\"\u003eShips pre-configured with the OS that matches your workload. Choose \u003cstrong style=\"color:#fff;\"\u003eWindows 11 Pro for Workstations\u003c\/strong\u003e (up to 6 TB RAM, ReFS, persistent memory), \u003cstrong style=\"color:#fff;\"\u003eWindows Server\u003c\/strong\u003e (Active Directory, Hyper-V, RDS), or your preferred \u003cstrong style=\"color:#fff;\"\u003eLinux distribution\u003c\/strong\u003e (Ubuntu LTS, RHEL, Rocky, Debian) tuned for AI \/ HPC. Tell us at checkout.\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"GamerTech","offers":[{"title":"Default Title","offer_id":48328634990814,"sku":"GT-WS-TR9965WX-DUAL-RTXPRO6000-96","price":74999.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/ChatGPTImageMay30_2026_01_10_50PM_ee2210bf-c6ca-4e34-91e6-8b43c42f1fd5.png?v=1781205026","url":"https:\/\/gamertech.ca\/products\/flagship-ai-render-workstation-threadripper-pro-9965wx-dual-rtx-pro-6000-96gb-custom-built-computer","provider":"GamerTech Toronto","version":"1.0","type":"link"}