{"product_id":"threadripper-pro-9995wx-96c-2-rtx-pro-6000-96gb-512gb-ecc-ddr5-dual-gpu-ai-vfx-workstation","title":"Custom | AMD Threadripper Pro 9995WX | 2× NVIDIA RTX Pro 6000 | Workstation","description":"\u003cstyle\u003e\n*{box-sizing:border-box}\n.gt-ans{background:#f0fdf4;border-left:4px solid #10b981;border-radius:0 12px 12px 0;padding:18px 22px;margin:0 0 20px}\n.gt-ans p{margin:0 0 6px;color:#065f46;font-size:15px;line-height:1.6}\n.gt-ans p:last-child{margin:0}\n.gt-notice{background:#fffbeb;border-left:4px solid #f59e0b;border-radius:0 12px 12px 0;padding:14px 20px;margin:0 0 28px;font-size:14px;color:#78350f;line-height:1.6}\n.gt-notice strong{color:#92400e}\n.gt-tag{display:inline-block;background:rgba(16,185,129,.12);color:#059669;border:1px solid rgba(16,185,129,.25);border-radius:20px;padding:4px 14px;font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;margin-bottom:10px}\n.gt-specs{width:100%;border-collapse:collapse;margin:0 0 24px;font-size:14px}\n.gt-specs th{background:#0f172a;color:#fff;padding:10px 14px;text-align:left;font-size:12px;text-transform:uppercase;letter-spacing:.06em}\n.gt-specs td{padding:10px 14px;border-bottom:1px solid #e2e8f0;color:#1e293b;vertical-align:top}\n.gt-specs tr:nth-child(even) td{background:#f8fafc}\n.gt-specs td:first-child{font-weight:600;color:#475569;width:38%;white-space:nowrap}\n.gt-cta-bar{background:linear-gradient(135deg,#0f172a,#1e3a5f);border-radius:14px;padding:28px 32px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;margin:32px 0}\n.gt-cta-bar h3{color:#fff;font-size:18px;font-weight:800;margin:0 0 4px}\n.gt-cta-bar p{color:rgba(255,255,255,.68);font-size:13px;margin:0}\n.gt-btn{display:inline-block;padding:12px 28px;border-radius:8px;font-weight:700;font-size:14px;text-decoration:none;transition:.2s}\n.gt-btn-green{background:#10b981;color:#fff}\n.gt-btn-green:hover{background:#059669;color:#fff}\n.gt-btn-white{background:#fff;color:#0f172a;border:1px solid #e2e8f0}\n.gt-guides{background:#f8fafc;border-radius:12px;padding:20px 24px;margin:24px 0}\n.gt-guides h4{font-size:13px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;color:#94a3b8;margin:0 0 12px}\n.gt-guides ul{list-style:none;margin:0;padding:0;display:flex;flex-wrap:wrap;gap:10px}\n.gt-guides ul li a{display:inline-block;background:#fff;border:1px solid #e2e8f0;border-radius:6px;padding:7px 14px;font-size:13px;font-weight:600;color:#0f172a;text-decoration:none}\n.gt-guides ul li a:hover{border-color:#10b981;color:#10b981}\n.gt-trust{background:#fff;border:1px solid #e2e8f0;border-radius:14px;padding:24px;margin:28px 0}\n.gt-trust-grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(150px,1fr));gap:16px;margin-top:16px}\n.gt-trust-item{text-align:center}\n.gt-trust-item .icon{font-size:24px;margin-bottom:6px}\n.gt-trust-item .label{font-size:12px;font-weight:700;color:#0f172a}\n.gt-trust-item .sub{font-size:11px;color:#64748b}\n.gt-compare{width:100%;border-collapse:collapse;margin:0 0 24px;font-size:14px}\n.gt-compare th{background:#f8fafc;padding:10px 14px;text-align:left;font-weight:700;font-size:12px;text-transform:uppercase;letter-spacing:.06em;color:#475569;border-bottom:2px solid #e2e8f0}\n.gt-compare td{padding:10px 14px;border-bottom:1px solid #f1f5f9;color:#1e293b;vertical-align:top}\n.gt-compare td:first-child{font-weight:600}\n.gt-compare .check{color:#10b981;font-weight:700}\n.gt-compare .warn{color:#f59e0b;font-weight:700}\n.faq-item{border-bottom:1px solid #e2e8f0;padding:16px 0}\n.faq-item:last-child{border-bottom:none}\n.faq-q{font-weight:700;color:#0f172a;margin:0 0 8px;font-size:15px}\n.faq-a{color:#475569;font-size:14px;line-height:1.65;margin:0}\n@media(max-width:600px){.gt-cta-bar{padding:20px}}\n\u003c\/style\u003e\n\u003cdiv class=\"gt-ans\"\u003e\n  \u003cp\u003e\u003cstrong\u003eBest for:\u003c\/strong\u003e AI\/ML training labs, large VFX studios, multi-GPU rendering pipelines, and research environments needing 192GB of total GPU VRAM in a single hand-built workstation.\u003c\/p\u003e\n  \u003cp\u003e192GB of total GPU VRAM. 96 Threadripper Pro cores. 512GB of ECC system RAM. This is the dual-GPU configuration of our flagship Pro 6000 build — designed for AI training, large-scale GPU rendering, and any pipeline that benefits from parallel GPU compute. Dual Pro 6000s deliver 384 fp32 TFLOPs of compute, run two model training jobs in parallel, accelerate Octane\/Redshift\/V-Ray GPU renders by 2×, and enable workflows that simply cannot fit on a single GPU. Built around the WRX90 Pro platform with a 1650W Titanium PSU for sustained dual-GPU load.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"gt-notice\"\u003e\n\u003cstrong\u003eEstimated delivery:\u003c\/strong\u003e 4–6 weeks. \u003cstrong\u003ePhotos for reference only\u003c\/strong\u003e — every workstation is built to the spec listed below. Case selection, RGB, and aesthetic options are fully customizable at no additional cost. \u003ca href=\"\/pages\/gamertech-toronto-contact-us\" style=\"color:#92400e;font-weight:600;text-decoration:underline\"\u003eContact us\u003c\/a\u003e to discuss case choice, current timelines, or rush options.\u003c\/div\u003e\n\n\u003ch2\u003eWhat's Inside\u003c\/h2\u003e\n\u003ctable class=\"gt-specs\"\u003e\n  \u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eAMD Ryzen Threadripper Pro 9995WX — 96 Cores \/ 192 Threads, Zen 5 Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e2× PNY NVIDIA RTX Pro 6000 Blackwell — 192GB Total GDDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Cooler\u003c\/td\u003e\n\u003ctd\u003ebe quiet! Silent Loop 3 420mm AIO Liquid Cooler\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e512GB (4×128GB) DDR5-5600 ECC Registered\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e2× 4TB Gen5 M.2 NVMe SSD (8TB total)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotherboard\u003c\/td\u003e\n\u003ctd\u003eASUS Pro WS WRX90E-SAGE SE — Pro Platform, 8 DIMM, PCIe 5.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePSU\u003c\/td\u003e\n\u003ctd\u003e1650W 80+ Titanium Fully Modular\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOS\u003c\/td\u003e\n\u003ctd\u003eConfigurable — Windows 11 Pro for Workstations, Windows Server, or Linux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e1 Year Parts + Labour (GamerTech)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShipping\u003c\/td\u003e\n\u003ctd\u003eWhite-glove delivery available. Free standard shipping Canada-wide\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eDual GPU Changes the Game\u003c\/h2\u003e\n\u003cp\u003eTwo Pro 6000 GPUs aren't just twice the speed — they're two different workloads at full speed simultaneously. Train a model on GPU 0 while running inference for production on GPU 1. Render the final frame on one card while the artist iterates on the next shot on the other. Process two video timelines in parallel. Run multiple LLMs concurrently for RAG and reasoning pipelines. With 192GB total GDDR7 VRAM, you can hold the largest open-weights models, train at higher batch sizes, or run massive 3D scenes that would never fit on a single card. The 96-core CPU and 1650W PSU ensure both GPUs run at sustained full load.\u003c\/p\u003e\n\n\u003ch2\u003eWho Buys This\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eThis workstation is for:\u003c\/strong\u003e AI\/ML training and inference labs running production pipelines. VFX studios with parallel GPU rendering. Research labs running multi-model experimentation. Production studios with seat-based render farms. Companies serving AI\/ML inference internally with redundancy. Engineering firms running multi-GPU CFD or visualization workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNot the right fit if:\u003c\/strong\u003e Workloads that don't parallelize across multiple GPUs — single-GPU users would be better served by our $62,999 single Pro 6000 build. For triple GPU configurations, see our $99,999 triple Pro 6000 Max-Q workstation.\u003c\/p\u003e\n\n\u003ch2\u003eWorkload Performance\u003c\/h2\u003e\n\u003ctable class=\"gt-compare\"\u003e\n  \u003ctr\u003e\n\u003cth\u003eWorkload\u003c\/th\u003e\n\u003cth\u003ePerformance\u003c\/th\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eAI Training (parallel GPUs)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eIndustry-leading — 192GB VRAM enables larger batches\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-Model Inference\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — run separate models per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Rendering (Octane\/Redshift, multi-GPU)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eIndustry-leading — near-2× single-GPU speed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLocal Multi-LLM (70B+ + RAG models)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — both GPUs working in parallel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStable Diffusion Production Pipeline\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — 1 training, 1 inference simultaneously\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVFX Rendering (CPU + dual GPU)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eIndustry-leading — full pipeline at top speed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScientific Computing (multi-GPU CUDA)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — 192GB VRAM + 96 cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e8K Multi-Stream Production\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — separate streams per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cdiv class=\"gt-guides\"\u003e\n\u003ch4\u003eBuying Guides \u0026amp; Resources\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"\/pages\/best-workstation-pc-canada\"\u003eBest Workstation PC Canada\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/pages\/business-solutions-pro\"\u003eBusiness Solutions at GamerTech\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/pages\/workstations-pro\"\u003eAll Workstation Configurations\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/pages\/gamertech-toronto-contact-us\"\u003eContact Us for a Custom Quote\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-cta-bar\"\u003e\n\u003cdiv\u003e\n\u003ch3\u003eNeed something different?\u003c\/h3\u003e\n\u003cp\u003eThis is one configuration. We build any combination of CPU, GPU, RAM, and storage to match your workload. Talk to a technician about a fully custom workstation.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display:flex;gap:10px;flex-wrap:wrap\"\u003e\n\u003ca href=\"\/pages\/gamertech-toronto-contact-us\" class=\"gt-btn gt-btn-white\"\u003eGet a Custom Quote\u003c\/a\u003e\u003ca href=\"tel:+19052477085\" class=\"gt-btn gt-btn-green\"\u003e📞 (905) 247-7085\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust\"\u003e\n\u003cdiv class=\"gt-tag\"\u003eGamerTech Guarantee\u003c\/div\u003e\n\u003ch3 style=\"font-size:16px;font-weight:800;color:#0f172a;margin:8px 0 4px\"\u003eEvery Build. Every Time.\u003c\/h3\u003e\n\u003cdiv class=\"gt-trust-grid\"\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e🔧\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003eHand-Built\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eIn Vaughan, ON\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e✅\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003e1-Year Warranty\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eParts + Labour\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e🚚\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003eFree Shipping\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eCanada-wide\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e🇨🇦\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003eCanadian Company\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eNo import fees\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e📞\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003e(905) 247-7085\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eTalk to a tech\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eCan this workstation be customized?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eYes. We offer triple GPU configurations (3× Pro 6000 Max-Q) at $99,999 for environments needing 288GB total VRAM. We can also scale RAM to 1TB+, configure NVMe RAID, or add 10\/25\/100GbE for AI cluster integration. Call (905) 247-7085.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eWhy dual GPU instead of one bigger system?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eTwo GPUs let you run two workloads simultaneously — train one model while serving inference for another, or render one frame while iterating on the next. For training large models with batch sizes that exceed 96GB single-GPU memory, two GPUs allow batch sizes up to 192GB combined. For VFX, dual GPU rendering nearly doubles your output per workstation.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eDoes software automatically use both GPUs?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eFor most modern AI\/ML frameworks (PyTorch, TensorFlow, vLLM, Ollama) — yes, multi-GPU is well-supported and often automatic. For rendering, software like Octane, Redshift, V-Ray GPU, and Blender Cycles all support multi-GPU. For Adobe and DaVinci, multi-GPU support varies by feature. We can pre-configure software for your specific multi-GPU workflow on request.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eHow long does delivery take?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eEstimated 4–6 weeks from order. Dual Pro 6000 configurations require careful component sourcing — contact us for current allocations and white-glove delivery options.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Can this workstation be customized?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes. We offer triple GPU configurations (3× Pro 6000 Max-Q) at $99,999 for environments needing 288GB total VRAM. We can also scale RAM to 1TB+, configure NVMe RAID, or add 10\/25\/100GbE for AI cluster integration. Call (905) 247-7085.\"}},{\"@type\":\"Question\",\"name\":\"Why dual GPU instead of one bigger system?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Two GPUs let you run two workloads simultaneously — train one model while serving inference for another, or render one frame while iterating on the next. For training large models with batch sizes that exceed 96GB single-GPU memory, two GPUs allow batch sizes up to 192GB combined. For VFX, dual GPU rendering nearly doubles your output per workstation.\"}},{\"@type\":\"Question\",\"name\":\"Does software automatically use both GPUs?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"For most modern AI\/ML frameworks (PyTorch, TensorFlow, vLLM, Ollama) — yes, multi-GPU is well-supported and often automatic. For rendering, software like Octane, Redshift, V-Ray GPU, and Blender Cycles all support multi-GPU. For Adobe and DaVinci, multi-GPU support varies by feature. We can pre-configure software for your specific multi-GPU workflow on request.\"}},{\"@type\":\"Question\",\"name\":\"How long does delivery take?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Estimated 4–6 weeks from order. Dual Pro 6000 configurations require careful component sourcing — contact us for current allocations and white-glove delivery options.\"}}]}\u003c\/script\u003e\n","brand":"GamerTech","offers":[{"title":"Default Title","offer_id":48168924479710,"sku":"threadripper-pro-9995wx-dual-rtx-pro-6000-ai-workstation","price":99999.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/ChatGPTImageMay30_2026_01_10_50PM.png?v=1780161094","url":"https:\/\/gamertech.ca\/products\/threadripper-pro-9995wx-96c-2-rtx-pro-6000-96gb-512gb-ecc-ddr5-dual-gpu-ai-vfx-workstation","provider":"GamerTech Toronto","version":"1.0","type":"link"}