{"product_id":"nvidia-rtx-4000ada-20-gb-gddr6","title":"Nvidia RTX 4000ADA 20 GB GDDR6","description":"\u003cbody\u003e\n\n\n  \u003cmeta charset=\"UTF-8\"\u003e\n  \u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\"\u003e\n  \u003ctitle\u003eNVIDIA RTX 4000 — Spec Card\u003c\/title\u003e\n  \u003cstyle\u003e\n    *, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }\n\n    body {\n      font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;\n      background: #f5f5f3;\n      color: #1a1a1a;\n      padding: 2rem 1rem;\n      min-height: 100vh;\n    }\n\n    .card {\n      max-width: 560px;\n      margin: 0 auto;\n      background: #fff;\n      border-radius: 16px;\n      border: 0.5px solid #e0ddd6;\n      overflow: hidden;\n    }\n\n    .header {\n      display: flex;\n      align-items: center;\n      gap: 14px;\n      padding: 1.25rem 1.5rem;\n      border-bottom: 0.5px solid #e0ddd6;\n    }\n\n    .icon-box {\n      width: 48px;\n      height: 48px;\n      border-radius: 10px;\n      background: #e1f5ee;\n      display: flex;\n      align-items: center;\n      justify-content: center;\n      flex-shrink: 0;\n    }\n\n    .header-text h1 { font-size: 15px; font-weight: 500; color: #1a1a1a; }\n    .header-text p  { font-size: 12px; color: #888; margin-top: 3px; font-family: 'Courier New', monospace; }\n\n    .badges { margin-left: auto; display: flex; gap: 6px; flex-shrink: 0; flex-wrap: wrap; justify-content: flex-end; }\n    .badge { font-size: 11px; font-weight: 500; padding: 3px 10px; border-radius: 8px; }\n    .badge-teal { background: #e1f5ee; color: #0f6e56; }\n    .badge-gray { background: #f1efe8; color: #5f5e5a; }\n\n    .desc-bar {\n      padding: 12px 1.5rem;\n      border-bottom: 0.5px solid #e0ddd6;\n      font-size: 13px;\n      color: #666;\n      line-height: 1.6;\n      background: #fafaf8;\n    }\n\n    .metrics {\n      display: grid;\n      grid-template-columns: repeat(3, 1fr);\n      gap: 10px;\n      padding: 1.25rem 1.5rem;\n      border-bottom: 0.5px solid #e0ddd6;\n    }\n\n    .metric { background: #f5f5f3; border-radius: 10px; padding: 12px 14px; }\n    .metric-label { font-size: 12px; color: #888; margin-bottom: 4px; }\n    .metric-value { font-size: 22px; font-weight: 500; color: #1a1a1a; }\n    .metric-sub   { font-size: 11px; color: #888; margin-top: 2px; }\n\n    .section { border-bottom: 0.5px solid #e0ddd6; }\n    .section:last-child { border-bottom: none; }\n\n    .section-header {\n      padding: 10px 1.5rem;\n      background: #f5f5f3;\n      border-bottom: 0.5px solid #e0ddd6;\n      font-size: 11px;\n      font-weight: 500;\n      color: #888;\n      text-transform: uppercase;\n      letter-spacing: 0.06em;\n    }\n\n    .perf-grid {\n      display: grid;\n      grid-template-columns: repeat(3, 1fr);\n    }\n    .perf-col {\n      padding: 12px 14px;\n      border-right: 0.5px solid #e0ddd6;\n      text-align: center;\n    }\n    .perf-col:last-child { border-right: none; }\n    .perf-label { font-size: 11px; color: #888; margin-bottom: 5px; line-height: 1.4; }\n    .perf-value { font-size: 15px; font-weight: 500; color: #1a1a1a; }\n    .perf-unit  { font-size: 10px; color: #888; margin-top: 2px; }\n\n    .row-item {\n      display: flex;\n      justify-content: space-between;\n      align-items: flex-start;\n      padding: 9px 1.5rem;\n      font-size: 13px;\n      border-bottom: 0.5px solid #e0ddd6;\n      gap: 12px;\n    }\n    .row-item:last-child { border-bottom: none; }\n    .row-item .key   { color: #888; flex-shrink: 0; }\n    .row-item .value { color: #1a1a1a; text-align: right; }\n\n    .ports-row { display: flex; gap: 8px; padding: 14px 1.5rem; flex-wrap: wrap; }\n    .port-chip {\n      font-size: 12px;\n      font-weight: 500;\n      padding: 5px 12px;\n      border-radius: 8px;\n      border: 0.5px solid #9fe1cb;\n      background: #e1f5ee;\n      color: #0f6e56;\n    }\n\n    .features { padding: 4px 0; }\n    .feature-item {\n      display: flex;\n      align-items: flex-start;\n      gap: 12px;\n      padding: 11px 1.5rem;\n      border-bottom: 0.5px solid #e0ddd6;\n    }\n    .feature-item:last-child { border-bottom: none; }\n    .feature-icon {\n      width: 32px;\n      height: 32px;\n      border-radius: 8px;\n      background: #e1f5ee;\n      display: flex;\n      align-items: center;\n      justify-content: center;\n      flex-shrink: 0;\n    }\n    .feature-text h4 { font-size: 13px; font-weight: 500; color: #1a1a1a; margin-bottom: 3px; }\n    .feature-text p  { font-size: 12px; color: #666; line-height: 1.5; }\n\n    .power-bar {\n      display: flex;\n      align-items: center;\n      gap: 10px;\n      padding: 12px 1.5rem;\n      background: #faeeda;\n      font-size: 13px;\n      color: #854f0b;\n    }\n  \u003c\/style\u003e\n\n\n\n\u003cdiv class=\"card\"\u003e\n\n  \u003c!-- Header --\u003e\n  \u003cdiv class=\"header\"\u003e\n    \u003cdiv class=\"icon-box\"\u003e\n      \u003csvg width=\"28\" height=\"28\" viewbox=\"0 0 28 28\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"\u003e\n        \u003crect x=\"2\" y=\"8\" width=\"24\" height=\"14\" rx=\"2\" fill=\"#0f6e56\" opacity=\"0.15\"\u003e\u003c\/rect\u003e\n        \u003crect x=\"2\" y=\"10\" width=\"24\" height=\"10\" rx=\"1\" fill=\"#0f6e56\" opacity=\"0.2\"\u003e\u003c\/rect\u003e\n        \u003crect x=\"5\" y=\"13\" width=\"6\" height=\"4\" rx=\"0.5\" fill=\"#0f6e56\" opacity=\"0.7\"\u003e\u003c\/rect\u003e\n        \u003crect x=\"13\" y=\"13\" width=\"6\" height=\"4\" rx=\"0.5\" fill=\"#0f6e56\" opacity=\"0.5\"\u003e\u003c\/rect\u003e\n        \u003crect x=\"22\" y=\"11\" width=\"2\" height=\"2\" rx=\"0.5\" fill=\"#0f6e56\"\u003e\u003c\/rect\u003e\n        \u003crect x=\"22\" y=\"15\" width=\"2\" height=\"2\" rx=\"0.5\" fill=\"#0f6e56\" opacity=\"0.5\"\u003e\u003c\/rect\u003e\n        \u003crect x=\"4\" y=\"22\" width=\"20\" height=\"1.5\" rx=\"0.5\" fill=\"#0f6e56\" opacity=\"0.3\"\u003e\u003c\/rect\u003e\n      \u003c\/svg\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"header-text\"\u003e\n      \u003ch1\u003eNVIDIA RTX 4000\u003c\/h1\u003e\n      \u003cp\u003eAda Lovelace · PCIe Gen4 x16 · Single-slot · Full height\u003c\/p\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"badges\"\u003e\n      \u003cspan class=\"badge badge-teal\"\u003eWorkstation\u003c\/span\u003e\n      \u003cspan class=\"badge badge-gray\"\u003e130W\u003c\/span\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Description --\u003e\n  \u003cdiv class=\"desc-bar\"\u003e\n    Professional workstation GPU built on NVIDIA Ada Lovelace architecture. Compact single-slot design with industry-leading performance for rendering, AI, design, and simulation.\n  \u003c\/div\u003e\n\n  \u003c!-- Metrics --\u003e\n  \u003cdiv class=\"metrics\"\u003e\n    \u003cdiv class=\"metric\"\u003e\n      \u003cdiv class=\"metric-label\"\u003eVRAM\u003c\/div\u003e\n      \u003cdiv class=\"metric-value\"\u003e20GB\u003c\/div\u003e\n      \u003cdiv class=\"metric-sub\"\u003eGDDR6 + ECC\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"metric\"\u003e\n      \u003cdiv class=\"metric-label\"\u003eMax power\u003c\/div\u003e\n      \u003cdiv class=\"metric-value\"\u003e130W\u003c\/div\u003e\n      \u003cdiv class=\"metric-sub\"\u003eSingle-slot\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"metric\"\u003e\n      \u003cdiv class=\"metric-label\"\u003eMax displays\u003c\/div\u003e\n      \u003cdiv class=\"metric-value\"\u003e4\u003c\/div\u003e\n      \u003cdiv class=\"metric-sub\"\u003eDisplayPort 1.4a\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Compute performance --\u003e\n  \u003cdiv class=\"section\"\u003e\n    \u003cdiv class=\"section-header\"\u003eCompute performance (boost clock)\u003c\/div\u003e\n    \u003cdiv class=\"perf-grid\"\u003e\n      \u003cdiv class=\"perf-col\"\u003e\n        \u003cdiv class=\"perf-label\"\u003eFP32\u003c\/div\u003e\n        \u003cdiv class=\"perf-value\"\u003e26.7\u003c\/div\u003e\n        \u003cdiv class=\"perf-unit\"\u003eTFLOPS\u003c\/div\u003e\n      \u003c\/div\u003e\n      \u003cdiv class=\"perf-col\"\u003e\n        \u003cdiv class=\"perf-label\"\u003eRT cores (3rd gen)\u003c\/div\u003e\n        \u003cdiv class=\"perf-value\"\u003e61.8\u003c\/div\u003e\n        \u003cdiv class=\"perf-unit\"\u003eTFLOPS\u003c\/div\u003e\n      \u003c\/div\u003e\n      \u003cdiv class=\"perf-col\"\u003e\n        \u003cdiv class=\"perf-label\"\u003eTensor (4th gen)\u003c\/div\u003e\n        \u003cdiv class=\"perf-value\"\u003e427.6\u003c\/div\u003e\n        \u003cdiv class=\"perf-unit\"\u003eTFLOPS\u003c\/div\u003e\n      \u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Physical --\u003e\n  \u003cdiv class=\"section\"\u003e\n    \u003cdiv class=\"section-header\"\u003ePhysical\u003c\/div\u003e\n    \u003cdiv class=\"row-item\"\u003e\n\u003cspan class=\"key\"\u003eForm factor\u003c\/span\u003e\u003cspan class=\"value\"\u003e4.4\" × 9.5\" · single-slot · full height\u003c\/span\u003e\n\u003c\/div\u003e\n    \u003cdiv class=\"row-item\"\u003e\n\u003cspan class=\"key\"\u003eBus\u003c\/span\u003e\u003cspan class=\"value\"\u003ePCIe Gen4 x16\u003c\/span\u003e\n\u003c\/div\u003e\n    \u003cdiv class=\"row-item\"\u003e\n\u003cspan class=\"key\"\u003eThermal\u003c\/span\u003e\u003cspan class=\"value\"\u003eActive\u003c\/span\u003e\n\u003c\/div\u003e\n    \u003cdiv class=\"row-item\"\u003e\n\u003cspan class=\"key\"\u003eVR ready\u003c\/span\u003e\u003cspan class=\"value\"\u003eYes\u003c\/span\u003e\n\u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Display outputs --\u003e\n  \u003cdiv class=\"section\"\u003e\n    \u003cdiv class=\"section-header\"\u003eDisplay outputs\u003c\/div\u003e\n    \u003cdiv class=\"ports-row\"\u003e\n      \u003cspan class=\"port-chip\"\u003eDisplayPort 1.4a × 4\u003c\/span\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Power --\u003e\n  \u003cdiv class=\"section\"\u003e\n    \u003cdiv class=\"section-header\"\u003ePower\u003c\/div\u003e\n    \u003cdiv class=\"power-bar\"\u003e\n      \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" fill=\"none\" style=\"flex-shrink:0\"\u003e\n        \u003crect x=\"1\" y=\"4\" width=\"14\" height=\"9\" rx=\"1.5\" stroke=\"#854f0b\" stroke-width=\"1.2\"\u003e\u003c\/rect\u003e\n        \u003cpath d=\"M5 4V2.5C5 2 5.5 1.5 6 1.5h4c.5 0 1 .5 1 1V4\" stroke=\"#854f0b\" stroke-width=\"1.2\"\u003e\u003c\/path\u003e\n        \u003ccircle cx=\"8\" cy=\"8.5\" r=\"1.5\" fill=\"#854f0b\" opacity=\"0.5\"\u003e\u003c\/circle\u003e\n      \u003c\/svg\u003e\n      Max power consumption: 130W — no auxiliary connector required\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Key features --\u003e\n  \u003cdiv class=\"section\"\u003e\n    \u003cdiv class=\"section-header\"\u003eKey features\u003c\/div\u003e\n    \u003cdiv class=\"features\"\u003e\n\n      \u003cdiv class=\"feature-item\"\u003e\n        \u003cdiv class=\"feature-icon\"\u003e\n          \u003csvg width=\"18\" height=\"18\" viewbox=\"0 0 18 18\" fill=\"none\"\u003e\n            \u003crect x=\"2\" y=\"2\" width=\"14\" height=\"14\" rx=\"2\" fill=\"#0f6e56\" opacity=\"0.2\"\u003e\u003c\/rect\u003e\n            \u003crect x=\"5\" y=\"5\" width=\"3\" height=\"3\" rx=\"0.5\" fill=\"#0f6e56\"\u003e\u003c\/rect\u003e\n            \u003crect x=\"10\" y=\"5\" width=\"3\" height=\"3\" rx=\"0.5\" fill=\"#0f6e56\" opacity=\"0.6\"\u003e\u003c\/rect\u003e\n            \u003crect x=\"5\" y=\"10\" width=\"3\" height=\"3\" rx=\"0.5\" fill=\"#0f6e56\" opacity=\"0.6\"\u003e\u003c\/rect\u003e\n            \u003crect x=\"10\" y=\"10\" width=\"3\" height=\"3\" rx=\"0.5\" fill=\"#0f6e56\" opacity=\"0.4\"\u003e\u003c\/rect\u003e\n          \u003c\/svg\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"feature-text\"\u003e\n          \u003ch4\u003eAda Lovelace CUDA cores\u003c\/h4\u003e\n          \u003cp\u003e1.5× the FP32 speed of the previous generation for graphics, CAD, and CAE workflows.\u003c\/p\u003e\n        \u003c\/div\u003e\n      \u003c\/div\u003e\n\n      \u003cdiv class=\"feature-item\"\u003e\n        \u003cdiv class=\"feature-icon\"\u003e\n          \u003csvg width=\"18\" height=\"18\" viewbox=\"0 0 18 18\" fill=\"none\"\u003e\n            \u003ccircle cx=\"9\" cy=\"9\" r=\"6\" stroke=\"#0f6e56\" stroke-width=\"1.2\" fill=\"#0f6e56\" opacity=\"0.1\"\u003e\u003c\/circle\u003e\n            \u003cpath d=\"M6 9l2 2 4-4\" stroke=\"#0f6e56\" stroke-width=\"1.3\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\u003e\u003c\/path\u003e\n          \u003c\/svg\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"feature-text\"\u003e\n          \u003ch4\u003e3rd-gen RT cores\u003c\/h4\u003e\n          \u003cp\u003eUp to 2× throughput over previous gen for photorealistic rendering and ray-traced motion blur.\u003c\/p\u003e\n        \u003c\/div\u003e\n      \u003c\/div\u003e\n\n      \u003cdiv class=\"feature-item\"\u003e\n        \u003cdiv class=\"feature-icon\"\u003e\n          \u003csvg width=\"18\" height=\"18\" viewbox=\"0 0 18 18\" fill=\"none\"\u003e\n            \u003cpath d=\"M9 3v12M3 9h12\" stroke=\"#0f6e56\" stroke-width=\"1.3\" stroke-linecap=\"round\"\u003e\u003c\/path\u003e\n            \u003ccircle cx=\"9\" cy=\"9\" r=\"3\" fill=\"#0f6e56\" opacity=\"0.2\" stroke=\"#0f6e56\" stroke-width=\"1\"\u003e\u003c\/circle\u003e\n          \u003c\/svg\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"feature-text\"\u003e\n          \u003ch4\u003e4th-gen Tensor cores\u003c\/h4\u003e\n          \u003cp\u003eUp to 3× AI performance with FP8 support and independent FP\/INT data paths for mixed-precision workloads.\u003c\/p\u003e\n        \u003c\/div\u003e\n      \u003c\/div\u003e\n\n      \u003cdiv class=\"feature-item\"\u003e\n        \u003cdiv class=\"feature-icon\"\u003e\n          \u003csvg width=\"18\" height=\"18\" viewbox=\"0 0 18 18\" fill=\"none\"\u003e\n            \u003crect x=\"2\" y=\"5\" width=\"14\" height=\"9\" rx=\"1.5\" fill=\"#0f6e56\" opacity=\"0.15\" stroke=\"#0f6e56\" stroke-width=\"1\"\u003e\u003c\/rect\u003e\n            \u003crect x=\"5\" y=\"8\" width=\"8\" height=\"3\" rx=\"0.5\" fill=\"#0f6e56\" opacity=\"0.5\"\u003e\u003c\/rect\u003e\n          \u003c\/svg\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"feature-text\"\u003e\n          \u003ch4\u003e20GB GDDR6 memory\u003c\/h4\u003e\n          \u003cp\u003eLarge VRAM for complex rendering, product design, and simulation workloads.\u003c\/p\u003e\n        \u003c\/div\u003e\n      \u003c\/div\u003e\n\n      \u003cdiv class=\"feature-item\"\u003e\n        \u003cdiv class=\"feature-icon\"\u003e\n          \u003csvg width=\"18\" height=\"18\" viewbox=\"0 0 18 18\" fill=\"none\"\u003e\n            \u003cpath d=\"M4 14l3-5 3 3 2-4 2 3\" stroke=\"#0f6e56\" stroke-width=\"1.3\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\u003e\u003c\/path\u003e\n            \u003ccircle cx=\"14\" cy=\"5\" r=\"2\" fill=\"#0f6e56\" opacity=\"0.3\" stroke=\"#0f6e56\" stroke-width=\"1\"\u003e\u003c\/circle\u003e\n          \u003c\/svg\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"feature-text\"\u003e\n          \u003ch4\u003eAV1 hardware encode (8th gen NVENC)\u003c\/h4\u003e\n          \u003cp\u003e40% more efficient than H.264 — stream at 1440p for the same bitrate as 1080p H.264.\u003c\/p\u003e\n        \u003c\/div\u003e\n      \u003c\/div\u003e\n\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n\u003c\/div\u003e\n\n\n\u003c\/body\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":51737845563524,"sku":null,"price":90000.0,"currency_code":"EGP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/4404\/7492\/files\/61w13jhLjNL._AC_UF1000_1000_QL80.jpg?v=1775857224","url":"https:\/\/zstations.com\/ar\/products\/nvidia-rtx-4000ada-20-gb-gddr6","provider":"Z-Station","version":"1.0","type":"link"}