{"title":"AI \u0026 Render Workstations","description":"\u003cstyle\u003e\n\/* Hide the theme's bland default collection title and any banner above the hero *\/\n.collection-hero,.collection-hero__inner,.collection-hero__title,.collection-hero__content,\n.collection__header,.collection__title,.collection-page-title,.section-collection-banner,\n.collection-banner,.page-header__title,.collection .page-width \u003e h1:first-child,\n.template-collection main \u003e h1:first-child,.collection-page \u003e h1:first-child{display:none!important}\n.template-collection .container \u003e .row:first-child:empty,\n.template-collection .container \u003e .page-header{display:none!important}\n*{box-sizing:border-box}\n\n\/* ---- Pulse animation used by hero badge and product card labels ---- *\/\n@keyframes ws-pulse{0%{box-shadow:0 0 0 0 rgba(16,185,129,.55)}70%{box-shadow:0 0 0 9px rgba(16,185,129,0)}100%{box-shadow:0 0 0 0 rgba(16,185,129,0)}}\n@keyframes ws-fadein-up{from{opacity:0;transform:translateY(8px)}to{opacity:1;transform:translateY(0)}}\n\n\/* ---- HERO ---- *\/\n.ws-hero{background:linear-gradient(135deg,#0c4a6e,#0e7490);color:#fff;border-radius:16px;padding:60px 32px;margin:0 0 36px;box-sizing:border-box;position:relative;overflow:hidden;text-align:center}\n.ws-hero-badge{display:inline-flex;align-items:center;gap:8px;background:rgba(255,255,255,.14);border:1px solid rgba(255,255,255,.28);color:#fff;padding:8px 18px;border-radius:999px;font-size:11px;font-weight:800;letter-spacing:.1em;text-transform:uppercase;margin:0 auto 18px;backdrop-filter:blur(8px);animation:ws-fadein-up .7s ease-out}\n.ws-hero-badge::before{content:\"\";width:7px;height:7px;border-radius:50%;background:#10b981;box-shadow:0 0 0 0 rgba(16,185,129,.6);animation:ws-pulse 2.4s ease-out infinite;flex-shrink:0}\n.ws-hero h1{color:#fff;font-size:44px;font-weight:800;margin:0 auto 16px;line-height:1.12;max-width:1100px;letter-spacing:-.01em}\n.ws-hero p.ws-hero-sub{color:rgba(255,255,255,.92);font-size:18px;margin:0 auto 28px;line-height:1.65;max-width:880px}\n.ws-hero-stats{display:grid;grid-template-columns:repeat(4,1fr);gap:14px;max-width:920px;margin:0 auto 28px}@media(max-width:760px){.ws-hero-stats{grid-template-columns:repeat(2,1fr)}}\n.ws-hero-stat{background:rgba(255,255,255,.12);border:1px solid rgba(255,255,255,.22);border-radius:12px;padding:14px 16px;backdrop-filter:blur(6px);transition:transform .3s cubic-bezier(.2,.7,.2,1),background-color .3s ease,border-color .3s ease,box-shadow .3s ease}\n.ws-hero-stat:hover{transform:translateY(-3px);background:rgba(255,255,255,.2);border-color:rgba(255,255,255,.38);box-shadow:0 8px 24px rgba(0,0,0,.18)}\n.ws-hero-stat .value{font-size:18px;font-weight:800;color:#fff;line-height:1.2;display:block;margin-bottom:4px}\n.ws-hero-stat .label{font-size:11px;font-weight:700;color:rgba(255,255,255,.75);text-transform:uppercase;letter-spacing:.06em;display:block}\n.ws-hero-cta{display:flex;gap:12px;justify-content:center;flex-wrap:wrap;margin-top:6px}\n.ws-hero-btn{display:inline-block;padding:13px 28px;border-radius:8px;font-weight:700;font-size:15px;text-decoration:none;transition:transform .25s cubic-bezier(.2,.7,.2,1),box-shadow .3s cubic-bezier(.2,.7,.2,1),background-color .25s ease,border-color .25s ease}\n.ws-hero-btn:hover{transform:translateY(-2px)}\n.ws-hero-btn-primary{background:#10b981;color:#fff;box-shadow:0 4px 14px rgba(16,185,129,.3)}\n.ws-hero-btn-primary:hover{background:#059669;color:#fff;box-shadow:0 12px 28px rgba(16,185,129,.5)}\n.ws-hero-btn-outline{background:rgba(255,255,255,.1);color:#fff;border:1px solid rgba(255,255,255,.5)}\n.ws-hero-btn-outline:hover{background:rgba(255,255,255,.22);color:#fff;border-color:rgba(255,255,255,.75);box-shadow:0 10px 24px rgba(255,255,255,.18)}\n\n\/* ---- Generic section ---- *\/\n.ws-section{margin:0 0 36px}\n.ws-section h2{font-size:30px;font-weight:800;color:#0f172a;margin:0 0 10px;line-height:1.25}\n.ws-section .ws-sub{font-size:16px;color:#64748b;margin:0 0 26px;line-height:1.55}\n\n\/* ---- Built For grid ---- *\/\n.ws-builtfor{display:grid;grid-template-columns:repeat(3,1fr);gap:20px;max-width:1400px;margin:0 auto}@media(max-width:900px){.ws-builtfor{grid-template-columns:1fr}}\n.ws-builtfor-card{background:#fff;border:1px solid #e2e8f0;border-radius:14px;padding:28px;transition:transform .25s cubic-bezier(.2,.7,.2,1),box-shadow .3s ease,border-color .25s ease}\n.ws-builtfor-card:hover{border-color:#0891b2;transform:translateY(-3px);box-shadow:0 10px 24px rgba(8,145,178,.10)}\n.ws-builtfor-card .icon{font-size:32px;margin-bottom:12px;line-height:1}\n.ws-builtfor-card h4{font-size:18px;font-weight:800;color:#0f172a;margin:0 0 10px;line-height:1.3}\n.ws-builtfor-card p{font-size:15px;color:#475569;line-height:1.65;margin:0}\n\n\/* ---- Products grid ---- *\/\n.ws-products{display:grid;grid-template-columns:repeat(4,minmax(0,1fr));gap:20px;width:100%;max-width:1700px;margin-left:auto;margin-right:auto}@media(max-width:1400px){.ws-products{grid-template-columns:repeat(2,1fr);gap:24px}}@media(max-width:700px){.ws-products{grid-template-columns:1fr}}\n.ws-product-card{background:#fff;border:1px solid #e2e8f0;border-radius:14px;padding:26px;text-decoration:none;color:inherit;transition:transform .25s cubic-bezier(.2,.7,.2,1),box-shadow .3s ease,border-color .25s ease;display:flex;flex-direction:column;position:relative}\n.ws-product-card:hover{border-color:#0891b2;transform:translateY(-3px);box-shadow:0 10px 24px rgba(8,145,178,.10)}\n.ws-pc-img{position:relative;margin-bottom:20px;border-radius:12px;overflow:hidden;background:#f8fafc;aspect-ratio:1\/1;display:flex;align-items:center;justify-content:center;min-height:280px}\n.ws-pc-img img{width:100%;height:100%;object-fit:cover;object-position:center;display:block;transition:transform .55s cubic-bezier(.2,.7,.2,1)}\n.ws-product-card:hover .ws-pc-img img{transform:scale(1.04)}\n.ws-product-card[href*=\"threadripper\"] .ws-pc-img img{object-fit:contain;padding:8px}\n.ws-card-badge{position:absolute;top:12px;left:12px;font-size:10px;font-weight:800;padding:5px 11px;border-radius:999px;letter-spacing:.08em;text-transform:uppercase;z-index:5;box-shadow:0 2px 10px rgba(15,23,42,.18)}\n.ws-card-badge.entry{background:#0891b2;color:#fff}\n.ws-card-badge.flagship{background:linear-gradient(135deg,#7c3aed,#5b21b6);color:#fff;box-shadow:0 2px 10px rgba(124,58,237,.4)}\n\n\/* ---- Card label with pulsing green \"available\" dot ---- *\/\n.ws-pc-label{display:inline-flex!important;align-items:center;gap:8px;font-size:11px;font-weight:700;color:#0891b2;text-transform:uppercase;letter-spacing:.08em;margin-bottom:8px;line-height:1.2}\n.ws-pc-label::before{content:\"\";width:7px;height:7px;border-radius:50%;background:#10b981;box-shadow:0 0 0 0 rgba(16,185,129,.55);animation:ws-pulse 2.4s ease-out infinite;flex-shrink:0}\n.ws-pc-body h3{font-size:19px;font-weight:800;color:#0f172a;margin:0 0 14px;line-height:1.3;transition:color .2s ease}\n.ws-product-card:hover .ws-pc-body h3{color:#0891b2}\n.ws-pc-specs{display:flex;flex-wrap:wrap;gap:6px;margin:0 0 14px}\n.ws-pc-specs span{background:#f8fafc;border:1px solid #e2e8f0;border-radius:6px;padding:5px 10px;font-size:11px;font-weight:600;color:#0f172a}\n.ws-pc-price{display:flex;align-items:baseline;gap:10px;margin:0 0 14px}\n.ws-pc-price strong{font-size:26px;font-weight:800;color:#0f172a}\n.ws-pc-price .strike{font-size:13px;color:#94a3b8;text-decoration:line-through}\n.ws-pc-cta{margin-top:auto;font-size:14px;font-weight:700;color:#0891b2;transition:gap .2s ease,letter-spacing .2s ease}\n.ws-product-card:hover .ws-pc-cta{letter-spacing:.01em}\n\n\/* ---- Decision matrix table ---- *\/\n.ws-decide{background:#f8fafc;border:1px solid #e2e8f0;border-radius:14px;padding:32px;margin:36px 0}\n.ws-decide h3{font-size:22px;font-weight:800;color:#0f172a;margin:0 0 6px}\n.ws-decide p.ws-decide-sub{font-size:15px;color:#475569;margin:0 0 22px;line-height:1.55}\n.ws-decide-table{width:100%;border-collapse:collapse;font-size:14px}\n.ws-decide-table th{background:#0f172a;color:#fff;padding:12px 14px;text-align:left;font-size:12px;text-transform:uppercase;letter-spacing:.06em;font-weight:700}\n.ws-decide-table td{padding:14px 14px;border-bottom:1px solid #e2e8f0;color:#1e293b;vertical-align:top;line-height:1.5;transition:background-color .2s ease}\n.ws-decide-table tr:nth-child(even) td{background:#fff}\n.ws-decide-table tr:hover td{background:#f0fdfa}\n.ws-decide-table td:first-child{font-weight:700;color:#0f172a;width:26%}\n.ws-decide-table td:nth-child(2){width:30%}\n.ws-decide-table td:nth-child(2) a{color:#0891b2;text-decoration:none;font-weight:700}\n.ws-decide-table td:nth-child(2) a:hover{text-decoration:underline}\n@media(max-width:760px){.ws-decide-table{font-size:13px}.ws-decide-table th,.ws-decide-table td{padding:10px 8px}.ws-decide-table td:first-child{width:30%}}\n\n\/* ---- Video grid ---- *\/\n.ws-videos-section{margin:0 0 36px;text-align:center}\n.ws-videos-section h2{font-size:30px;font-weight:800;color:#0f172a;margin:0 0 10px;line-height:1.25}\n.ws-videos-section .ws-sub{font-size:16px;color:#64748b;margin:0 auto 26px;line-height:1.55;max-width:680px}\n.ws-video-grid{display:grid;grid-template-columns:repeat(5,1fr);gap:16px;max-width:1400px;margin:0 auto;padding:0 8px}\n@media(max-width:1180px){.ws-video-grid{grid-template-columns:repeat(3,1fr);max-width:960px;gap:18px}}\n@media(max-width:820px){.ws-video-grid{grid-template-columns:repeat(2,1fr);max-width:560px;gap:14px}}\n@media(max-width:480px){.ws-video-grid{grid-template-columns:1fr;max-width:320px;gap:12px}}\n.ws-video{position:relative;width:100%;aspect-ratio:9\/16;border-radius:14px;overflow:hidden;background:#000;box-shadow:0 6px 20px rgba(15,23,42,.12);transition:transform .3s cubic-bezier(.2,.7,.2,1),box-shadow .3s ease}\n.ws-video:hover{transform:translateY(-3px);box-shadow:0 14px 32px rgba(15,23,42,.2)}\n.ws-video iframe{position:absolute;inset:0;width:100%;height:100%;border:0}\n\n\/* ---- Trust grid ---- *\/\n.ws-trust{background:#fff;border:1px solid #e2e8f0;border-radius:14px;padding:40px;margin:36px 0;width:100%;box-sizing:border-box}\n.ws-trust h3{font-size:24px;font-weight:800;color:#0f172a;margin:12px 0 6px;line-height:1.3}\n.ws-trust-grid{display:grid;grid-template-columns:repeat(6,minmax(0,1fr));gap:22px;margin-top:22px}@media(max-width:1100px){.ws-trust-grid{grid-template-columns:repeat(3,1fr)}}@media(max-width:540px){.ws-trust-grid{grid-template-columns:repeat(2,1fr)}}\n.ws-trust-item{text-align:center;transition:transform .25s ease}\n.ws-trust-item:hover{transform:translateY(-2px)}\n.ws-trust-item .icon{font-size:32px;margin-bottom:8px}\n.ws-trust-item .label{font-size:14px;font-weight:700;color:#0f172a;line-height:1.3}\n.ws-trust-item .sub{font-size:13px;color:#64748b;margin-top:4px;line-height:1.4}\n\n\/* ---- FAQ block ---- *\/\n.ws-faq-block{background:#fff;border:1px solid #e2e8f0;border-radius:14px;padding:32px;margin:36px 0}\n.ws-faq-block h3{font-size:22px;font-weight:800;color:#0f172a;margin:0 0 22px}\n.ws-faq-item{border-bottom:1px solid #e2e8f0;padding:18px 0}\n.ws-faq-item:last-child{border-bottom:none}\n.ws-faq-q{font-weight:700;color:#0f172a;margin:0 0 8px;font-size:15px}\n.ws-faq-a{color:#475569;font-size:14px;line-height:1.65;margin:0}\n\n\/* ---- Back link and final CTA ---- *\/\n.ws-back{display:block;text-align:center;padding:20px;margin:24px 0;font-size:15px;color:#0891b2;text-decoration:none;font-weight:700;background:#f0fdfa;border:1px solid #67e8f9;border-radius:12px;transition:background-color .25s ease,color .25s ease,transform .25s ease}\n.ws-back:hover{background:#ccfbf1;color:#0e7490;transform:translateY(-1px)}\n.ws-cta{background:linear-gradient(135deg,#0f172a,#1e3a5f);border-radius:14px;padding:54px 40px;margin:32px 0 0;width:100%;box-sizing:border-box;text-align:center;color:#fff}\n.ws-cta h3{color:#fff;font-size:30px;font-weight:800;margin:0 0 12px;line-height:1.25}\n.ws-cta p{color:rgba(255,255,255,.78);font-size:16px;margin:0 0 26px;max-width:680px;margin-left:auto;margin-right:auto;line-height:1.6}\n.ws-cta-buttons{display:flex;gap:12px;justify-content:center;flex-wrap:wrap}\n.ws-btn{display:inline-block;padding:13px 28px;border-radius:8px;font-weight:700;font-size:15px;text-decoration:none;transition:transform .25s cubic-bezier(.2,.7,.2,1),box-shadow .3s ease,background-color .25s ease}\n.ws-btn:hover{transform:translateY(-2px)}\n.ws-btn-green{background:#10b981;color:#fff;box-shadow:0 4px 14px rgba(16,185,129,.3)}\n.ws-btn-green:hover{background:#059669;color:#fff;box-shadow:0 12px 28px rgba(16,185,129,.45)}\n.ws-btn-white{background:#fff;color:#0f172a;border:1px solid #fff}\n.ws-btn-white:hover{background:#e2e8f0;color:#0f172a;box-shadow:0 10px 24px rgba(255,255,255,.18)}\n\n@media(max-width:600px){.ws-hero{padding:36px 22px}.ws-hero h1{font-size:28px}.ws-cta{padding:32px 20px}.ws-cta h3{font-size:20px}}\n\u003c\/style\u003e\n\n\u003cdiv class=\"ws-hero\" style=\"width:100vw;margin-left:calc(-50vw + 50%);margin-right:calc(-50vw + 50%);box-sizing:border-box\"\u003e\n \u003cspan class=\"ws-hero-badge\"\u003eMulti-GPU Builds Available\u003c\/span\u003e\n \u003ch1\u003eAI \u0026amp; Render Workstations\u003c\/h1\u003e\n \u003cp class=\"ws-hero-sub\"\u003eMulti-GPU workstations for large language model training, multi-GPU rendering, scientific compute, and the most demanding AI workflows. Dual and triple RTX PRO 6000 configurations.\u003c\/p\u003e\n \u003cdiv class=\"ws-hero-stats\"\u003e\n \u003cdiv class=\"ws-hero-stat\"\u003e\n\u003cspan class=\"value\"\u003e4\u003c\/span\u003e\u003cspan class=\"label\"\u003eMulti-GPU Configurations\u003c\/span\u003e\n\u003c\/div\u003e\n \u003cdiv class=\"ws-hero-stat\"\u003e\n\u003cspan class=\"value\"\u003eFrom $74,999\u003c\/span\u003e\u003cspan class=\"label\"\u003eStarting Price\u003c\/span\u003e\n\u003c\/div\u003e\n \u003cdiv class=\"ws-hero-stat\"\u003e\n\u003cspan class=\"value\"\u003e288 GB\u003c\/span\u003e\u003cspan class=\"label\"\u003eMax GPU VRAM (triple)\u003c\/span\u003e\n\u003c\/div\u003e\n \u003cdiv class=\"ws-hero-stat\"\u003e\n\u003cspan class=\"value\"\u003e2 Weeks\u003c\/span\u003e\u003cspan class=\"label\"\u003eBuilt to Order\u003c\/span\u003e\n\u003c\/div\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-hero-cta\"\u003e\n \u003ca href=\"#products\" class=\"ws-hero-btn ws-hero-btn-primary\"\u003eBrowse Builds\u003c\/a\u003e\n \u003ca href=\"\/pages\/gamertech-toronto-contact-us\" class=\"ws-hero-btn ws-hero-btn-outline\"\u003eTalk to a Tech\u003c\/a\u003e\n \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"ws-section\" 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)\"\u003e\n \u003ch2 style=\"text-align:center\"\u003eBuilt For\u003c\/h2\u003e\n \u003cp class=\"ws-sub\" style=\"text-align:center;max-width:780px;margin-left:auto;margin-right:auto\"\u003eWho this tier is designed for β€” see if your workflow matches before you dig into specs.\u003c\/p\u003e\n \u003cdiv class=\"ws-builtfor\"\u003e\n \u003cdiv class=\"ws-builtfor-card\"\u003e\n \u003cdiv class=\"icon\"\u003e🧠\u003c\/div\u003e\n \u003ch4\u003eAI \/ ML Research Labs\u003c\/h4\u003e\n \u003cp\u003e70B+ parameter LLM training and fine-tuning, multi-GPU PyTorch \/ DeepSpeed pipelines, RAG over million-document corpora. 192–288 GB of unified GPU memory.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-builtfor-card\"\u003e\n \u003cdiv class=\"icon\"\u003e🎞️\u003c\/div\u003e\n \u003ch4\u003eVFX \u0026amp; Render Studios\u003c\/h4\u003e\n \u003cp\u003eMulti-GPU Octane, Redshift, V-Ray RT, Unreal Engine 5, Houdini. Render farms reduced from rack to single chassis for studios moving in-house.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-builtfor-card\"\u003e\n \u003cdiv class=\"icon\"\u003eπŸ›οΈ\u003c\/div\u003e\n \u003ch4\u003eUniversities \u0026amp; Public Sector\u003c\/h4\u003e\n \u003cp\u003eMulti-user shared compute via virtualization or GPU passthrough. Scientific simulation, molecular dynamics, computational chemistry, genomics at lab scale.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv id=\"products\" class=\"ws-section\" 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)\"\u003e\n \u003ch2\u003eAI \u0026amp; Render Workstations β€” Available Builds\u003c\/h2\u003e\n \u003cp class=\"ws-sub\"\u003e4 hand-built workstations in this category. Click any build for full specs.\u003c\/p\u003e\n \u003cdiv class=\"ws-products\"\u003e\n\u003ca class=\"ws-product-card\" href=\"\/products\/flagship-ai-render-workstation-threadripper-pro-9965wx-dual-rtx-pro-6000-96gb-custom-built-computer\"\u003e\n \u003cdiv class=\"ws-pc-img\"\u003e\n\u003cspan class=\"ws-card-badge entry\"\u003eEntry\u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/Threadripper_PRO_9965WX.png?v=1781290607\" alt=\"AMD Threadripper Pro 9965WX | 2Γ— RTX Pro 6000 - Custom Workstation\"\u003e\n\u003c\/div\u003e\n \u003cdiv class=\"ws-pc-body\"\u003e\n \u003cdiv class=\"ws-pc-label\"\u003eEntry Dual-GPU AI \/ Render β€” Available Now\u003c\/div\u003e\n \u003ch3\u003eAMD Threadripper Pro 9965WX | 2Γ— RTX Pro 6000\u003c\/h3\u003e\n \u003cdiv class=\"ws-pc-specs\"\u003e\n \u003cspan\u003e24 Cores Β· 48 Threads\u003c\/span\u003e\n \u003cspan\u003e2Γ— RTX Pro 6000 96GB\u003c\/span\u003e\n \u003cspan\u003e192GB Total ECC VRAM\u003c\/span\u003e\n \u003cspan\u003e256GB DDR5 ECC\u003c\/span\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-pc-price\"\u003e\n \u003cstrong\u003e$74,999.99\u003c\/strong\u003e\n \u003cspan class=\"strike\"\u003e$78,999.99\u003c\/span\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-pc-cta\"\u003eView Workstation β†’\u003c\/div\u003e\n \u003c\/div\u003e\n \u003c\/a\u003e\n\u003ca class=\"ws-product-card\" href=\"\/products\/pro-dual-gpu-workstation-threadripper-pro-9975wx-dual-rtx-pro-6000-96gb-custom-built-computer\"\u003e\n \u003cdiv class=\"ws-pc-img\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/Pro_Dual-GPU_Workstation.png?v=1781291155\" alt=\"AMD Threadripper Pro 9975WX | 2Γ— RTX Pro 6000 96GB - Custom Workstation\"\u003e\u003c\/div\u003e\n \u003cdiv class=\"ws-pc-body\"\u003e\n \u003cdiv class=\"ws-pc-label\"\u003ePro Dual-GPU Workstation β€” Built to Order\u003c\/div\u003e\n \u003ch3\u003eAMD Threadripper Pro 9975WX | 2Γ— RTX Pro 6000 96GB\u003c\/h3\u003e\n \u003cdiv class=\"ws-pc-specs\"\u003e\n \u003cspan\u003e32 Cores Β· 64 Threads\u003c\/span\u003e\n \u003cspan\u003e2Γ— RTX Pro 6000 96GB\u003c\/span\u003e\n \u003cspan\u003e192GB Total ECC VRAM\u003c\/span\u003e\n \u003cspan\u003e512GB DDR5 ECC\u003c\/span\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-pc-price\"\u003e\n \u003cstrong\u003e$84,999.99\u003c\/strong\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-pc-cta\"\u003eView Workstation β†’\u003c\/div\u003e\n \u003c\/div\u003e\n \u003c\/a\u003e\n\u003ca class=\"ws-product-card\" href=\"\/products\/threadripper-pro-9995wx-96c-2-rtx-pro-6000-96gb-512gb-ecc-ddr5-dual-gpu-ai-vfx-workstation\"\u003e\n \u003cdiv class=\"ws-pc-img\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/2_NVIDIA_RTX_Pro_6000.png?v=1781290662\" alt=\"AMD Threadripper Pro 9995WX | 2Γ— RTX Pro 6000 - Custom Workstation\"\u003e\u003c\/div\u003e\n \u003cdiv class=\"ws-pc-body\"\u003e\n \u003cdiv class=\"ws-pc-label\"\u003eDual-GPU AI \/ VFX β€” Available Now\u003c\/div\u003e\n \u003ch3\u003eAMD Threadripper Pro 9995WX | 2Γ— RTX Pro 6000\u003c\/h3\u003e\n \u003cdiv class=\"ws-pc-specs\"\u003e\n \u003cspan\u003e96 Cores Β· 192 Threads\u003c\/span\u003e\n \u003cspan\u003e2Γ— RTX Pro 6000 96GB\u003c\/span\u003e\n \u003cspan\u003e192GB Total ECC VRAM\u003c\/span\u003e\n \u003cspan\u003e512GB DDR5 ECC\u003c\/span\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-pc-price\"\u003e\n \u003cstrong\u003e$99,999.99\u003c\/strong\u003e\n \u003cspan class=\"strike\"\u003e$102,999.99\u003c\/span\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-pc-cta\"\u003eView Workstation β†’\u003c\/div\u003e\n \u003c\/div\u003e\n \u003c\/a\u003e\n\u003ca class=\"ws-product-card\" href=\"\/products\/threadripper-pro-9995wx-96c-3-rtx-pro-6000-max-q-96gb-512gb-ecc-ddr5-triple-gpu-ai-training-workstation\"\u003e\n \u003cdiv class=\"ws-pc-img\"\u003e\n\u003cspan class=\"ws-card-badge flagship\"\u003eFlagship\u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/triple_gpu_workstation_front_side_view.png?v=1780160688\" alt=\"AMD Threadripper Pro 9995WX | 3Γ— RTX Pro 6000 Max-Q - Custom Workstation\"\u003e\n\u003c\/div\u003e\n \u003cdiv class=\"ws-pc-body\"\u003e\n \u003cdiv class=\"ws-pc-label\"\u003eTriple-GPU AI Flagship β€” Available Now\u003c\/div\u003e\n \u003ch3\u003eAMD Threadripper Pro 9995WX | 3Γ— RTX Pro 6000 Max-Q\u003c\/h3\u003e\n \u003cdiv class=\"ws-pc-specs\"\u003e\n \u003cspan\u003e96 Cores Β· 192 Threads\u003c\/span\u003e\n \u003cspan\u003e3Γ— RTX Pro 6000 Max-Q\u003c\/span\u003e\n \u003cspan\u003e288GB Total ECC VRAM\u003c\/span\u003e\n \u003cspan\u003e512GB DDR5 ECC\u003c\/span\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-pc-price\"\u003e\n \u003cstrong\u003e$149,999.99\u003c\/strong\u003e\n \u003cspan class=\"strike\"\u003e$152,999.99\u003c\/span\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-pc-cta\"\u003eView Workstation β†’\u003c\/div\u003e\n \u003c\/div\u003e\n \u003c\/a\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)\"\u003e\n\u003cdiv class=\"ws-decide\"\u003e\n \u003ch3\u003eHow to Choose Your Build\u003c\/h3\u003e\n \u003cp class=\"ws-decide-sub\"\u003eIf you can describe what you need, we can point you to the right build. Each row maps a common requirement to a specific configuration above.\u003c\/p\u003e\n \u003ctable class=\"ws-decide-table\"\u003e\n \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eIf you want…\u003c\/th\u003e\n\u003cth\u003ePick this build\u003c\/th\u003e\n\u003cth\u003eWhy\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003eEntry dual-GPU AI \/ VFX\u003c\/td\u003e\n \u003ctd\u003e\u003ca href=\"\/products\/flagship-ai-render-workstation-threadripper-pro-9965wx-dual-rtx-pro-6000-96gb-custom-built-computer\"\u003eThreadripper PRO 9965WX | Dual RTX PRO 6000 β†’\u003c\/a\u003e\u003c\/td\u003e\n \u003ctd\u003e24 cores + 192 GB total GPU VRAM at $74,999. Entry into multi-GPU.\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003ePro dual-GPU workstation\u003c\/td\u003e\n \u003ctd\u003e\u003ca href=\"\/products\/pro-dual-gpu-workstation-threadripper-pro-9975wx-dual-rtx-pro-6000-96gb-custom-built-computer\"\u003eThreadripper PRO 9975WX | Dual RTX PRO 6000 β†’\u003c\/a\u003e\u003c\/td\u003e\n \u003ctd\u003e32 cores + 512 GB ECC. The balanced Pro dual-GPU configuration.\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMaximum dual-GPU compute\u003c\/td\u003e\n \u003ctd\u003e\u003ca href=\"\/products\/threadripper-pro-9995wx-96c-2-rtx-pro-6000-96gb-512gb-ecc-ddr5-dual-gpu-ai-vfx-workstation\"\u003eThreadripper PRO 9995WX | Dual RTX PRO 6000 β†’\u003c\/a\u003e\u003c\/td\u003e\n \u003ctd\u003e96 Pro cores + 192 GB GPU VRAM for sustained CPU + dual-GPU pipelines.\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eTriple-GPU AI flagship\u003c\/td\u003e\n \u003ctd\u003e\u003ca href=\"\/products\/threadripper-pro-9995wx-96c-3-rtx-pro-6000-max-q-96gb-512gb-ecc-ddr5-triple-gpu-ai-training-workstation\"\u003eThreadripper PRO 9995WX | 3Γ— RTX PRO 6000 Max-Q β†’\u003c\/a\u003e\u003c\/td\u003e\n \u003ctd\u003e96 cores + 288 GB total GPU VRAM. Built for serious LLM training.\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 class=\"ws-videos-section\" 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)\"\u003e\n \u003ch2\u003eSee the AI \u0026amp; Render Builds\u003c\/h2\u003e\n \u003cp class=\"ws-sub\"\u003eMulti-GPU workstations from our shop β€” assembly, validation, and shop floor footage.\u003c\/p\u003e\n \u003cdiv class=\"ws-video-grid\"\u003e\n \u003cdiv class=\"ws-video\"\u003e\n \u003ciframe src=\"https:\/\/www.youtube.com\/embed\/Wmm-Vflgu30?rel=0\u0026amp;modestbranding=1\u0026amp;playsinline=1\" title=\"GamerTech Workstation Build\" loading=\"lazy\" allow=\"accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen\u003e\u003c\/iframe\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-video\"\u003e\n \u003ciframe src=\"https:\/\/www.youtube.com\/embed\/eOndgBG-inQ?rel=0\u0026amp;modestbranding=1\u0026amp;playsinline=1\" title=\"GamerTech Workstation Build\" loading=\"lazy\" allow=\"accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen\u003e\u003c\/iframe\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-video\"\u003e\n \u003ciframe src=\"https:\/\/www.youtube.com\/embed\/3tBcrvAQhnE?rel=0\u0026amp;modestbranding=1\u0026amp;playsinline=1\" title=\"GamerTech Workstation Build\" loading=\"lazy\" allow=\"accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen\u003e\u003c\/iframe\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-video\"\u003e\n \u003ciframe src=\"https:\/\/www.youtube.com\/embed\/oKMgI6htU4g?rel=0\u0026amp;modestbranding=1\u0026amp;playsinline=1\" title=\"GamerTech Workstation Build\" loading=\"lazy\" allow=\"accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen\u003e\u003c\/iframe\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-video\"\u003e\n \u003ciframe src=\"https:\/\/www.youtube.com\/embed\/KZi57n6X1BE?rel=0\u0026amp;modestbranding=1\u0026amp;playsinline=1\" title=\"GamerTech Workstation Build\" loading=\"lazy\" allow=\"accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen\u003e\u003c\/iframe\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)\"\u003e\u003cdiv class=\"ws-trust\"\u003e\n \u003ch3 style=\"text-align:center;margin-top:0\"\u003eEvery Build. Every Time.\u003c\/h3\u003e\n \u003cp style=\"text-align:center;color:#64748b;font-size:15px;margin:0\"\u003eGamerTech guarantees on every workstation we ship.\u003c\/p\u003e\n \u003cdiv class=\"ws-trust-grid\"\u003e\n \u003cdiv class=\"ws-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003eπŸ”§\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=\"ws-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003eβœ…\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=\"ws-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=\"ws-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e⚑\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003eSame-Day\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eWhen in stock\u003c\/div\u003e\n\u003c\/div\u003e\n \u003cdiv class=\"ws-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003eπŸ‡¨πŸ‡¦\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=\"ws-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003eπŸ“ž\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\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)\"\u003e\n\u003cdiv class=\"ws-faq-block\"\u003e\n \u003ch3\u003eFrequently Asked Questions\u003c\/h3\u003e\n \u003cdiv class=\"ws-faq-item\"\u003e\n \u003cp class=\"ws-faq-q\"\u003eWhen do I actually need multi-GPU?\u003c\/p\u003e\n \u003cp class=\"ws-faq-a\"\u003eMulti-GPU helps when your workload can parallelize across GPUs. For LLM training and fine-tuning of 70B+ parameter models, multi-GPU is essential. For multi-GPU rendering (Octane, Redshift, V-Ray RT, Houdini Karma), each additional GPU adds near-linear render speed.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-faq-item\"\u003e\n \u003cp class=\"ws-faq-q\"\u003eWhat's the lead time for multi-GPU builds?\u003c\/p\u003e\n \u003cp class=\"ws-faq-a\"\u003e2 weeks or less from order confirmation. These are custom built to spec β€” we source, assemble, validate under sustained dual or triple GPU load (24+ hours of stress testing), then ship or pickup.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-faq-item\"\u003e\n \u003cp class=\"ws-faq-q\"\u003eHow does multi-GPU scaling work in practice?\u003c\/p\u003e\n \u003cp class=\"ws-faq-a\"\u003eFor training: PyTorch DDP, DeepSpeed, FSDP, Hugging Face Accelerate handle GPU communication via NVLink or PCIe. Near-linear scaling on dual-GPU for most LLM training. For rendering: Octane, Redshift, V-Ray RT split frames or tiles across GPUs with near-linear scaling.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-faq-item\"\u003e\n \u003cp class=\"ws-faq-q\"\u003ePower and cooling requirements?\u003c\/p\u003e\n \u003cp class=\"ws-faq-a\"\u003eAll multi-GPU builds ship with appropriately-sized PSUs (1600 W to 3000 W Platinum, ATX 3.1) and high-static-pressure cooling. Dual-GPU draws ~700–800 W under sustained load; triple-GPU Max-Q draws ~900–1000 W. Standard 15 A 120 V Canadian wall circuits sufficient.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"ws-faq-item\"\u003e\n \u003cp class=\"ws-faq-q\"\u003eEnterprise or volume pricing?\u003c\/p\u003e\n \u003cp class=\"ws-faq-a\"\u003eYes. We support university procurement, government, research labs, and enterprise IT with multi-system pricing, PO acceptance, and procurement-format quoting.\u003c\/p\u003e\n \u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cscript type=\"application\/ld+json\"\u003e{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"When do I actually need multi-GPU?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Multi-GPU helps when your workload can parallelize across GPUs. For LLM training and fine-tuning of 70B+ parameter models, multi-GPU is essential. For multi-GPU rendering (Octane, Redshift, V-Ray RT, Houdini Karma), each additional GPU adds near-linear render speed.\"}},{\"@type\":\"Question\",\"name\":\"What's the lead time for multi-GPU builds?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"2 weeks or less from order confirmation. These are custom built to spec β€” we source, assemble, validate under sustained dual or triple GPU load (24+ hours of stress testing), then ship or pickup.\"}},{\"@type\":\"Question\",\"name\":\"How does multi-GPU scaling work in practice?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"For training: PyTorch DDP, DeepSpeed, FSDP, Hugging Face Accelerate handle GPU communication via NVLink or PCIe. Near-linear scaling on dual-GPU for most LLM training. For rendering: Octane, Redshift, V-Ray RT split frames or tiles across GPUs with near-linear scaling.\"}},{\"@type\":\"Question\",\"name\":\"Power and cooling requirements?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"All multi-GPU builds ship with appropriately-sized PSUs (1600 W to 3000 W Platinum, ATX 3.1) and high-static-pressure cooling. Dual-GPU draws ~700–800 W under sustained load; triple-GPU Max-Q draws ~900–1000 W. Standard 15 A 120 V Canadian wall circuits sufficient.\"}},{\"@type\":\"Question\",\"name\":\"Enterprise or volume pricing?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes. We support university procurement, government, research labs, and enterprise IT with multi-system pricing, PO acceptance, and procurement-format quoting.\"}}]}\u003c\/script\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)\"\u003e\n\u003ca class=\"ws-back\" href=\"\/collections\/workstations-servers\"\u003eBrowse all 24 workstations \u0026amp; servers β†’\u003c\/a\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)\"\u003e\n\u003cdiv class=\"ws-cta\"\u003e\n \u003ch3\u003eNot sure which build is right for you?\u003c\/h3\u003e\n \u003cp\u003eTell us your daily app stack, expected workloads, and budget β€” we'll match you to the right configuration in 5 minutes and quote any custom changes you need.\u003c\/p\u003e\n \u003cdiv class=\"ws-cta-buttons\"\u003e\n \u003ca href=\"\/pages\/gamertech-toronto-contact-us\" class=\"ws-btn ws-btn-white\"\u003eGet a Custom Quote\u003c\/a\u003e\n \u003ca href=\"tel:+19052477085\" class=\"ws-btn ws-btn-green\"\u003eπŸ“ž (905) 247-7085\u003c\/a\u003e\n \u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebSite\",\"@id\":\"https:\/\/gamertech.ca#website\",\"url\":\"https:\/\/gamertech.ca\",\"name\":\"GamerTech\",\"publisher\":{\"@id\":\"https:\/\/gamertech.ca#organization\"},\"inLanguage\":\"en-CA\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/gamertech.ca#organization\",\"name\":\"GamerTech\",\"url\":\"https:\/\/gamertech.ca\",\"telephone\":\"+1-905-247-7085\",\"email\":\"info@gamertech.ca\",\"address\":{\"@type\":\"PostalAddress\",\"addressLocality\":\"Vaughan\",\"addressRegion\":\"ON\",\"addressCountry\":\"CA\"}},{\"@type\":[\"LocalBusiness\",\"ComputerStore\"],\"@id\":\"https:\/\/gamertech.ca#localbusiness\",\"name\":\"GamerTech\",\"url\":\"https:\/\/gamertech.ca\",\"telephone\":\"+1-905-247-7085\",\"email\":\"info@gamertech.ca\",\"address\":{\"@type\":\"PostalAddress\",\"addressLocality\":\"Vaughan\",\"addressRegion\":\"ON\",\"addressCountry\":\"CA\"},\"areaServed\":{\"@type\":\"Country\",\"name\":\"Canada\"},\"priceRange\":\"$$$$\",\"currenciesAccepted\":\"CAD\",\"paymentAccepted\":\"Cash, Credit Card, Debit, Financing, Purchase Order\"},{\"@type\":\"CollectionPage\",\"@id\":\"https:\/\/gamertech.ca\/collections\/ai-render-workstations#webpage\",\"url\":\"https:\/\/gamertech.ca\/collections\/ai-render-workstations\",\"name\":\"AI \u0026 Render Workstations | Multi-GPU RTX PRO 6000 | GamerTech\",\"description\":\"Multi-GPU AI training \u0026 rendering workstations from $74,999. Dual\/triple RTX PRO 6000 (96 GB each), up to 288 GB total VRAM. LLM training, VFX. Hand-built in Vaughan, ON.\",\"isPartOf\":{\"@id\":\"https:\/\/gamertech.ca#website\"},\"breadcrumb\":{\"@id\":\"https:\/\/gamertech.ca\/collections\/ai-render-workstations#breadcrumb\"},\"mainEntity\":{\"@id\":\"https:\/\/gamertech.ca\/collections\/ai-render-workstations#itemlist\"},\"about\":{\"@id\":\"https:\/\/gamertech.ca#service\"},\"publisher\":{\"@id\":\"https:\/\/gamertech.ca#organization\"},\"inLanguage\":\"en-CA\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/gamertech.ca\/collections\/ai-render-workstations#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/gamertech.ca\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Workstations \u0026 Servers\",\"item\":\"https:\/\/gamertech.ca\/collections\/workstations-servers\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"AI \u0026 Render Workstations\"}]},{\"@type\":\"ItemList\",\"@id\":\"https:\/\/gamertech.ca\/collections\/ai-render-workstations#itemlist\",\"name\":\"AI \u0026 Render Workstations β€” Available Builds\",\"numberOfItems\":4,\"itemListOrder\":\"https:\/\/schema.org\/ItemListOrderAscending\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"url\":\"https:\/\/gamertech.ca\/products\/flagship-ai-render-workstation-threadripper-pro-9965wx-dual-rtx-pro-6000-96gb-custom-built-computer\"},{\"@type\":\"ListItem\",\"position\":2,\"url\":\"https:\/\/gamertech.ca\/products\/pro-dual-gpu-workstation-threadripper-pro-9975wx-dual-rtx-pro-6000-96gb-custom-built-computer\"},{\"@type\":\"ListItem\",\"position\":3,\"url\":\"https:\/\/gamertech.ca\/products\/threadripper-pro-9995wx-96c-2-rtx-pro-6000-96gb-512gb-ecc-ddr5-dual-gpu-ai-vfx-workstation\"},{\"@type\":\"ListItem\",\"position\":4,\"url\":\"https:\/\/gamertech.ca\/products\/threadripper-pro-9995wx-96c-3-rtx-pro-6000-max-q-96gb-512gb-ecc-ddr5-triple-gpu-ai-training-workstation\"}]},{\"@type\":\"Service\",\"@id\":\"https:\/\/gamertech.ca#service\",\"name\":\"Custom Workstation Building\",\"provider\":{\"@id\":\"https:\/\/gamertech.ca#organization\"},\"areaServed\":{\"@type\":\"Country\",\"name\":\"Canada\"},\"serviceType\":\"Computer Hardware Assembly, Configuration, and Custom Build Services\",\"description\":\"Custom multi-GPU AI and render workstations. Dual and triple RTX PRO 6000 Blackwell configurations with Threadripper PRO and up to 512 GB DDR5 ECC. Built for LLM training and multi-GPU rendering.\",\"offers\":{\"@type\":\"Offer\",\"priceCurrency\":\"CAD\",\"priceSpecification\":{\"@type\":\"PriceSpecification\",\"priceCurrency\":\"CAD\"}}}]}\u003c\/script\u003e","products":[{"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 | 2Γ— 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 β€” 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 2Γ—, 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 β€” 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 β€” 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\u003e2Γ— PNY NVIDIA RTX Pro 6000 Blackwell β€” 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 (4Γ—128GB) DDR5-5600 ECC Registered\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e2Γ— 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” near-2Γ— 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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\"\u003eπŸ“ž (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\"\u003eπŸ”§\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\"\u003eβœ…\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\"\u003eπŸ‡¨πŸ‡¦\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\"\u003eπŸ“ž\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 (3Γ— 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 β€” 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) β€” 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 β€” 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 (3Γ— 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 β€” 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) β€” 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 β€” 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\/2_NVIDIA_RTX_Pro_6000.png?v=1781290662"},{"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 | 3Γ— 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 β€” 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 β€” 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 β€” 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\u003e3Γ— PNY NVIDIA RTX Pro 6000 Blackwell Max-Q β€” 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 (4Γ—128GB) DDR5-5600 ECC Registered\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e2Γ— 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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\"\u003eπŸ“ž (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\"\u003eπŸ”§\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\"\u003eβœ…\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\"\u003eπŸ‡¨πŸ‡¦\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\"\u003eπŸ“ž\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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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. 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Contact us if noise is a critical concern β€” 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"},{"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 β€” 420Β 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 β€” 96Β 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 β€” 96Β 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;\"\u003e256Β GB DDR5 ECC RDIMM β€” 8 Γ— 32Β 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 1Β TB PCIe Gen5 NVMe β€” up to 13,600Β 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 4Β 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;\"\u003e1600Β W ATX 3.1 β€” 80Β PLUS Titanium Β· 2 Γ— 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 β€” 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 Γ— Noctua NF-A14x25 G2 PWM chromax.Black (140Β 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 β€” 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;\"\u003e192Β 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 β€” 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 β€” 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 β€” 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 6Β 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\/Threadripper_PRO_9965WX.png?v=1781290607"},{"product_id":"pro-dual-gpu-workstation-threadripper-pro-9975wx-dual-rtx-pro-6000-96gb-custom-built-computer","title":"Pro Dual-GPU Workstation | Threadripper PRO 9975WX | Dual RTX PRO 6000 96GB | Custom Built Computer","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 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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\n\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\u003e512GB DDR5 ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e2TB Gen5 + 8TB Gen4 NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"gt-ans\"\u003e\n \u003cp\u003e\u003cstrong\u003eBest for:\u003c\/strong\u003e AI\/ML training and fine-tuning of 70B+ parameter models, multi-GPU inference, dual-GPU 3D rendering and VFX pipelines, scientific compute, and any production workload that can scale across two GPUs and saturate 512GB of system memory.\u003c\/p\u003e\n \u003cp\u003eA dual-GPU professional workstation pairing the 32-core Threadripper PRO 9975WX with two NVIDIA RTX PRO 6000 Blackwell Max-Q cards (192GB total ECC VRAM), 512GB of DDR5 ECC server memory, and 10TB of NVMe storage on the ASUS Pro WS WRX90E-SAGE SE platform. Driven by a 3000W Platinum PSU and assembled into a SilverStone SST-RM44 rackmount chassis. Custom built to your spec and validated under sustained CPU + dual-GPU load.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"gt-notice\"\u003e\n\u003cstrong\u003eEstimated delivery:\u003c\/strong\u003e 2 weeks or less. \u003cstrong\u003ePhotos for reference only\u003c\/strong\u003e β€” 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 9975WX β€” 32 Cores \/ 64 Threads, Zen 5\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eCPU Cooler\u003c\/td\u003e\n\u003ctd\u003eSilverStone SST-XE360-TR5 360mm AIO β€” Threadripper TR5 socket\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eMotherboard\u003c\/td\u003e\n\u003ctd\u003eASUS Pro WS WRX90E-SAGE SE β€” Pro Platform, 8 DIMM, PCIe 5.0\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003ePrimary GPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q β€” 96GB GDDR7, Professional Drivers\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eSecondary GPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q β€” 96GB GDDR7, Professional Drivers\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e512GB DDR5 ECC Registered Server Memory\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003ePrimary Storage\u003c\/td\u003e\n\u003ctd\u003eSamsung 9100 PRO 2TB PCIe Gen5 NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eSecondary Storage\u003c\/td\u003e\n\u003ctd\u003eWestern Digital Black SN850X 8TB PCIe Gen4 NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003ePSU\u003c\/td\u003e\n\u003ctd\u003eASUS Pro WS 3000W β€” 80 PLUS Platinum, Fully Modular ATX\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eCase\u003c\/td\u003e\n\u003ctd\u003eSilverStone SST-RM44 β€” Rackmount Workstation Chassis\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eOS\u003c\/td\u003e\n\u003ctd\u003eConfigurable β€” Ubuntu LTS or Windows 11 Pro for Workstations\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eBuild Time\u003c\/td\u003e\n\u003ctd\u003eBuilt to order β€” ships within 2 weeks or less\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\u003eFree standard shipping Canada-wide\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eA True Dual-GPU AI \u0026amp; Production Workstation\u003c\/h2\u003e\n\u003cp\u003eThe bottleneck in serious AI work isn't compute β€” it's VRAM and memory bandwidth. Two RTX PRO 6000 Blackwell Max-Q cards give you 192GB of professional ECC VRAM, enough to fit 70B-parameter models in full precision and fine-tune larger ones with no quantization compromise. The 32-core Threadripper PRO 9975WX keeps both GPUs fed during data preprocessing and augmentation, while 512GB of ECC system RAM holds entire datasets and parallel job queues in memory without paging. 10TB of NVMe storage β€” 2TB on PCIe Gen5 plus 8TB on Gen4 β€” handles dataset caching, model checkpoints, and intermediate render output without disk I\/O ever becoming the limit. Built into a SilverStone SST-RM44 rackmount chassis with a 3000W Platinum PSU, this workstation is designed to run at sustained load 24\/7.\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 research teams training and fine-tuning large language models. VFX studios running dual-GPU render pipelines (Octane, Redshift, V-Ray RT). Scientific computing labs doing multi-GPU CUDA workloads, molecular dynamics, or genomics. Studios producing 8K production with simultaneous AI-assisted workflows. Enterprises deploying multi-GPU inference (vLLM, Triton, RAG over million-document corpora).\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNot the right fit if:\u003c\/strong\u003e Your workload only needs a single GPU β€” the single-GPU 9975WX build is several thousand dollars less. If you need raw CPU core count above all (large-scale CPU rendering, code compilation farms), the 64-core 9985WX or 96-core 9995WX builds prioritize cores over dual-GPU.\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\u003eLLM Training (7B–13B full precision)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent β€” 192GB total VRAM, no quantization\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eLLM Fine-Tuning (70B+ parameters)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent β€” dual GPU + 512GB system RAM\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eMulti-GPU Inference (vLLM, Triton)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent β€” 2x Blackwell + Pro drivers\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003e3D Rendering (Octane, Redshift, V-Ray RT)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent β€” dual-GPU acceleration\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003e8K Production (DaVinci Resolve)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent β€” 32 cores + Pro driver\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eScientific Compute (CUDA, CFD, MD)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent β€” dual Blackwell engines\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eCAD\/CAE (SolidWorks, ANSYS)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent β€” RTX PRO certified + ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eVirtualization (GPU passthrough)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent β€” 32 cores, two passthrough GPUs\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\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\"\u003eπŸ“ž (905) 247-7085\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\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\"\u003eπŸ”§\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\"\u003eβœ…\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\"\u003eπŸ‡¨πŸ‡¦\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\"\u003eπŸ“ž\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\"\u003eHow long does delivery take?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eBuilt within 2 weeks or less from order confirmation. Every workstation is hand-assembled to spec, then bench-validated under sustained CPU and dual-GPU load before it ships. Same-day pickup at our Vaughan, Ontario facility, or free shipping Canada-wide.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eCan this workstation be customized?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eYes. RAM capacity, storage configuration, cooling, chassis, and OS can be adjusted to your workload. Call (905) 247-7085 or contact us for a tailored quote β€” case selection, fan layout, and aesthetic options are no additional cost.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eHow does this compare to the single-GPU 9975WX?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eThis build doubles the GPU compute and VRAM (192GB vs 96GB total) and ships with a 3000W Platinum PSU sized for dual Blackwell Max-Q draw. Choose dual-GPU if your pipeline can parallelize across both cards β€” LLM training, multi-GPU inference, render farm slaves, or 8K + AI workflows. Choose single-GPU if a single 96GB VRAM pool is enough.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eCan I add a third GPU later?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eYes. The WRX90E-SAGE SE has seven PCIe 5.0 x16 slots and the 3000W Platinum PSU has headroom for a third RTX PRO 6000 Max-Q (or further expansion). Contact us when you're ready and we can configure the upgrade in-shop.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eDoes it ship with Ubuntu or Windows?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eYour choice at checkout. Ubuntu LTS (22.04 \/ 24.04) comes tuned for CUDA, PyTorch, and HPC workloads. Windows 11 Pro for Workstations is pre-activated with ReFS support and up to 6 TB RAM addressing. Other Linux distributions (RHEL, Rocky, Debian) available on request.\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\":\"How long does delivery take?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Built within 2 weeks or less from order confirmation. Every workstation is hand-assembled to spec, then bench-validated under sustained CPU and dual-GPU load before it ships. Same-day pickup at our Vaughan, Ontario facility, or free shipping Canada-wide.\"}},{\"@type\":\"Question\",\"name\":\"Can this workstation be customized?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes. RAM capacity, storage configuration, cooling, chassis, and OS can be adjusted to your workload. 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Contact us when you're ready and we can configure the upgrade in-shop.\"}},{\"@type\":\"Question\",\"name\":\"Does it ship with Ubuntu or Windows?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Your choice at checkout. Ubuntu LTS (22.04 \/ 24.04) comes tuned for CUDA, PyTorch, and HPC workloads. Windows 11 Pro for Workstations is pre-activated with ReFS support and up to 6 TB RAM addressing. Other Linux distributions (RHEL, Rocky, Debian) available on request.\"}}]}\u003c\/script\u003e\n","brand":"GamerTech","offers":[{"title":"Default Title","offer_id":48328791654622,"sku":"GT-WS-TR9975WX-DUAL-RTXPRO6000-96","price":84999.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/Pro_Dual-GPU_Workstation.png?v=1781291155"}],"url":"https:\/\/gamertechusa.com\/collections\/ai-render-workstations.oembed","provider":"GamerTech Toronto","version":"1.0","type":"link"}