{"product_id":"threadripper-pro-9995wx-96c-3-rtx-pro-6000-max-q-96gb-512gb-ecc-ddr5-triple-gpu-ai-training-workstation","title":"Custom | AMD Threadripper Pro 9995WX | 3× NVIDIA RTX Pro 6000 Max-Q | 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 Serious AI\/ML training labs, multi-model inference deployments, research institutions, and any environment that needs 288GB of total GPU VRAM in a single workstation — a configuration almost no Canadian builder offers.\u003c\/p\u003e\n  \u003cp\u003eThree RTX Pro 6000 Blackwell Max-Q GPUs. 288GB of total GDDR7 VRAM. 96 Threadripper Pro cores. 512GB of ECC system RAM. This is the most powerful single-system workstation we build, and one of the very few triple Pro 6000 configurations available from any Canadian builder. The Max-Q variant runs at 300W per GPU (vs 600W for the full-size cards), enabling all three to fit physically and run within a 1650W Titanium PSU envelope. For AI labs needing to train large models locally, run multi-model inference pipelines, or experiment without cloud rental costs, this is the workstation that replaces a server rack.\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\u003e3× PNY NVIDIA RTX Pro 6000 Blackwell Max-Q — 288GB 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 included. Free Canada-wide\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy 288GB Total VRAM Matters\u003c\/h2\u003e\n\u003cp\u003e288GB of GPU VRAM enables workloads that no single-GPU or even dual-GPU system can handle. Train 70B+ parameter models with full precision and reasonable batch sizes. Run multiple production-grade LLMs in parallel for RAG, agent, and reasoning pipelines. Serve a research lab's entire experimentation queue from a single workstation. Run VFX rendering pipelines where three artists share one render box. Process scientific simulations that span the full 288GB working memory. The Max-Q variant of the Pro 6000 delivers the same 96GB VRAM and same compute architecture as the full 600W version — just at a thermal envelope that allows three cards to coexist in a single chassis. This is the workstation that replaces $50,000+ of cloud GPU rental over a project lifetime.\u003c\/p\u003e\n\n\u003ch2\u003eWho Buys This\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eThis workstation is for:\u003c\/strong\u003e AI research labs and university computing facilities running multi-model experiments. AI startups serving production inference internally. VFX studios running multi-seat render boxes. Pharmaceutical and biotech labs running molecular dynamics or genomics at scale. Engineering firms running massive multi-GPU simulations. Any organization that has been renting cloud GPUs and is looking to bring compute in-house.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNot the right fit if:\u003c\/strong\u003e Smaller workloads that don't fully utilize three GPUs — those users are better served by our single or dual GPU builds. For workloads that need higher per-GPU power (full 600W Pro 6000), we recommend our dual full-size Pro 6000 build at $79,999.\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 (large models, full precision)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eIndustry-leading — 288GB enables huge batches\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-Model Production Serving\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — run 3+ separate models per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLM Fine-Tuning (70B+ models)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — VRAM headroom for full training\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-Seat GPU Rendering Farm\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — 3 simultaneous render jobs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMassive Scientific Simulations\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — distributed CUDA across 3 GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eResearch \/ Experimentation Pipelines\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — parallel job execution\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-Stream 8K Production\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — three independent pipelines\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDistributed Training Experiments\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — local multi-GPU dev environment\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 can configure with full-size Pro 6000 instead of Max-Q (requires different chassis and cooling), scale RAM to 2TB, add enterprise NVMe RAID, or integrate with cluster networking. Call (905) 247-7085 — for halo configurations like this, every detail is configurable.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eWhy Max-Q variants instead of full 600W cards?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eThree full-size Pro 6000 cards (each 600W) would draw 1800W just on the GPUs — exceeding the 1650W PSU limit and creating extreme thermal challenges. The Max-Q variants run at 300W per card with the same 96GB VRAM and same compute architecture, enabling all three to fit and run sustained without throttling. For most workloads, three Max-Q cards outperform two full cards.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eHow does this compare to renting cloud GPUs?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eThree Pro 6000s on AWS or Lambda Cloud cost roughly $20–$30\/hour combined. At sustained 50% utilization, this workstation pays for itself within 8–12 months versus cloud — and you own the hardware afterwards. For researchers and labs running heavy GPU workloads, the math heavily favours owned hardware.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eWhat about cooling and noise?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eThree 300W GPUs generate significant heat. We engineer the build with a high-airflow chassis, the BeQuiet 420mm AIO for the CPU, and Pro 6000 Max-Q's blower-style fans designed for sustained workstation use. Sound levels are appropriate for a dedicated workstation environment but louder than a standard office PC. Contact us if noise is a critical concern — we can discuss alternative cooling configurations.\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, sometimes longer for triple Pro 6000 sourcing. White-glove delivery is included due to system value and complexity. Contact us at (905) 247-7085 for current allocations and to discuss enterprise procurement.\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 can configure with full-size Pro 6000 instead of Max-Q (requires different chassis and cooling), scale RAM to 2TB, add enterprise NVMe RAID, or integrate with cluster networking. Call (905) 247-7085 — for halo configurations like this, every detail is configurable.\"}},{\"@type\":\"Question\",\"name\":\"Why Max-Q variants instead of full 600W cards?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Three full-size Pro 6000 cards (each 600W) would draw 1800W just on the GPUs — exceeding the 1650W PSU limit and creating extreme thermal challenges. The Max-Q variants run at 300W per card with the same 96GB VRAM and same compute architecture, enabling all three to fit and run sustained without throttling. For most workloads, three Max-Q cards outperform two full cards.\"}},{\"@type\":\"Question\",\"name\":\"How does this compare to renting cloud GPUs?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Three Pro 6000s on AWS or Lambda Cloud cost roughly $20–$30\/hour combined. At sustained 50% utilization, this workstation pays for itself within 8–12 months versus cloud — and you own the hardware afterwards. For researchers and labs running heavy GPU workloads, the math heavily favours owned hardware.\"}},{\"@type\":\"Question\",\"name\":\"What about cooling and noise?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Three 300W GPUs generate significant heat. We engineer the build with a high-airflow chassis, the BeQuiet 420mm AIO for the CPU, and Pro 6000 Max-Q's blower-style fans designed for sustained workstation use. Sound levels are appropriate for a dedicated workstation environment but louder than a standard office PC. Contact us if noise is a critical concern — we can discuss alternative cooling configurations.\"}},{\"@type\":\"Question\",\"name\":\"How long does delivery take?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Estimated 4–6 weeks from order, sometimes longer for triple Pro 6000 sourcing. White-glove delivery is included due to system value and complexity. Contact us at (905) 247-7085 for current allocations and to discuss enterprise procurement.\"}}]}\u003c\/script\u003e\n","brand":"GamerTech","offers":[{"title":"Default Title","offer_id":48168926183646,"sku":"threadripper-pro-9995wx-triple-rtx-pro-6000-ai-training-workstation","price":149999.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/triple_gpu_workstation_front_side_view.png?v=1780160688","url":"https:\/\/gamertech.ca\/products\/threadripper-pro-9995wx-96c-3-rtx-pro-6000-max-q-96gb-512gb-ecc-ddr5-triple-gpu-ai-training-workstation","provider":"GamerTech Toronto","version":"1.0","type":"link"}