{"id":10760,"date":"2025-11-17T15:06:37","date_gmt":"2025-11-17T12:06:37","guid":{"rendered":"https:\/\/gtmteknoloji.com\/b2b\/?post_type=product&#038;p=10760"},"modified":"2026-04-22T21:11:21","modified_gmt":"2026-04-22T18:11:21","slug":"supermicro-hgx-b200-8-gpu-server-sys-822gs-nbrt-8u","status":"publish","type":"product","link":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/gpu-server\/supermicro-hgx-b200-8-gpu-server-sys-822gs-nbrt-8u\/","title":{"rendered":"Supermicro HGX B200 8-GPU Server | SYS-822GS-NBRT 8U"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"10760\" class=\"elementor elementor-10760\" data-elementor-post-type=\"product\">\n\t\t\t\t\t\t<section class=\"wd-negative-gap elementor-section elementor-top-section elementor-element elementor-element-6951b1d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6951b1d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8a8bf10\" data-id=\"8a8bf10\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-59ffb67 elementor-widget elementor-widget-html\" data-id=\"59ffb67\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<!-- ===== SCHEMA.ORG JSON-LD ===== -->\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Product\",\n      \"name\": \"Supermicro SYS-822GS-NBRT 8U GPU SuperServer \u2014 NVIDIA HGX B200 8-GPU \u00b7 Dual Intel Xeon 6700\",\n      \"description\": \"Supermicro SYS-822GS-NBRT \u2014 8U rackmount GPU SuperServer. 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border-left: 4px solid var(--smc-nv); border-radius: 0 8px 8px 0; padding: 18px 22px; margin-bottom: 20px; display: flex; gap: 14px; align-items: flex-start; }\n.gtm-smc822nbrt .smc-callout-icon { font-size: 28px; line-height: 1; }\n.gtm-smc822nbrt .smc-callout h4 { font-size: 15px; font-weight: 700; color: var(--smc-navy); margin: 0 0 5px; }\n.gtm-smc822nbrt .smc-callout p { font-size: 14px; color: var(--smc-text); line-height: 1.7; margin: 0; }\n.gtm-smc822nbrt .smc-callout .nv-hi { color: var(--smc-nv-dark); font-weight: 700; }\n.gtm-smc822nbrt .smc-sec { margin-bottom: 44px; }\n.gtm-smc822nbrt .smc-sec-title { font-size: 21px; font-weight: 700; color: var(--smc-navy); margin: 0 0 18px; padding-bottom: 10px; border-bottom: 2px solid var(--smc-border); display: flex; align-items: center; gap: 10px; }\n.gtm-smc822nbrt .smc-sec-title::before { content: ''; width: 4px; height: 22px; background: var(--smc-nv); border-radius: 2px; display: inline-block; }\n.gtm-smc822nbrt .smc-intro { background: var(--smc-bg); border-left: 4px solid var(--smc-navy); padding: 18px 22px; border-radius: 0 6px 6px 0; margin-bottom: 20px; font-size: 15px; line-height: 1.75; }\n.gtm-smc822nbrt .smc-intro strong { color: var(--smc-navy); }\n.gtm-smc822nbrt .smc-intro .nv-hi { color: var(--smc-nv-dark); font-weight: 700; }\n.gtm-smc822nbrt .smc-snip { background: var(--smc-nv-pale); border: 1px solid #CDE79A; border-left: 4px solid var(--smc-nv); border-radius: 0 6px 6px 0; padding: 13px 17px; font-size: 13px; color: #2C4A00; margin-bottom: 18px; }\n.gtm-smc822nbrt .smc-snip strong { color: var(--smc-nv-dark); }\n.gtm-smc822nbrt .smc-snip-lbl { font-size: 10px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.8px; color: var(--smc-muted); margin-bottom: 4px; }\n\n\/* ===== COMPARE TABLE \u2014 B200 vs B300 ===== *\/\n.gtm-smc822nbrt .smc-cmp { overflow-x: auto; }\n.gtm-smc822nbrt .smc-cmp-tbl { width: 100%; border-collapse: collapse; font-size: 14px; }\n.gtm-smc822nbrt .smc-cmp-tbl th { background: var(--smc-bg); padding: 11px 14px; text-align: left; font-weight: 700; font-size: 13px; color: var(--smc-navy); border-bottom: 2px solid var(--smc-navy); }\n.gtm-smc822nbrt .smc-cmp-tbl th.me { background: var(--smc-nv-pale); color: var(--smc-nv-dark); border-bottom-color: var(--smc-nv); }\n.gtm-smc822nbrt .smc-cmp-tbl th.alt { background: #EEF3FA; }\n.gtm-smc822nbrt .smc-cmp-tbl td { padding: 10px 14px; border-bottom: 1px solid var(--smc-border); font-size: 13px; }\n.gtm-smc822nbrt .smc-cmp-tbl td:first-child { font-weight: 600; color: var(--smc-navy); }\n.gtm-smc822nbrt .smc-cmp-tbl td.me { background: rgba(118,185,0,0.08); }\n.gtm-smc822nbrt .smc-cmp-tbl tr:last-child td { border-bottom: none; }\n\n\/* ===== FEATURE CARDS ===== *\/\n.gtm-smc822nbrt .smc-feat-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(240px, 1fr)); gap: 14px; }\n.gtm-smc822nbrt .smc-feat-card { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 8px; padding: 18px; transition: box-shadow 0.2s, border-color 0.2s, transform 0.15s; }\n.gtm-smc822nbrt .smc-feat-card:hover { border-color: var(--smc-nv); box-shadow: 0 4px 14px rgba(118,185,0,0.15); transform: translateY(-2px); }\n.gtm-smc822nbrt .smc-feat-card.nv { border-left: 3px solid var(--smc-nv); background: linear-gradient(135deg, #FFFFFF 0%, rgba(235,247,210,0.35) 100%); }\n.gtm-smc822nbrt .smc-feat-icon { width: 38px; height: 38px; border-radius: 8px; background: #EEF3FA; display: flex; align-items: center; justify-content: center; font-size: 17px; margin-bottom: 10px; }\n.gtm-smc822nbrt .smc-feat-card.nv .smc-feat-icon { background: var(--smc-nv-pale); }\n.gtm-smc822nbrt .smc-feat-card h3 { font-size: 14px; font-weight: 700; color: var(--smc-navy); margin: 0 0 5px; }\n.gtm-smc822nbrt .smc-feat-card.nv h3 { color: var(--smc-nv-dark); }\n.gtm-smc822nbrt .smc-feat-card p { font-size: 13px; color: var(--smc-muted); line-height: 1.6; margin: 0; }\n\n\/* ===== ARCH ===== *\/\n.gtm-smc822nbrt .smc-arch { background: var(--smc-bg); border: 1px solid var(--smc-border); border-radius: 8px; padding: 24px; }\n.gtm-smc822nbrt .smc-arch-title { font-size: 14px; font-weight: 700; color: var(--smc-navy); margin-bottom: 16px; text-align: center; }\n.gtm-smc822nbrt .smc-arch-grid { display: grid; grid-template-columns: 1fr 40px 1fr 40px 1fr; align-items: center; gap: 8px; }\n.gtm-smc822nbrt .smc-arch-box { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 8px; padding: 14px 10px; text-align: center; }\n.gtm-smc822nbrt .smc-arch-box.highlight { border-color: var(--smc-nv); border-width: 2px; background: var(--smc-nv-pale); box-shadow: 0 0 16px rgba(118,185,0,0.15); }\n.gtm-smc822nbrt .smc-arch-box .icon { font-size: 22px; margin-bottom: 6px; }\n.gtm-smc822nbrt .smc-arch-box .lbl { font-size: 12px; font-weight: 700; color: var(--smc-navy); }\n.gtm-smc822nbrt .smc-arch-box.highlight .lbl { color: var(--smc-nv-dark); }\n.gtm-smc822nbrt .smc-arch-box .sub { font-size: 11px; color: var(--smc-muted); margin-top: 2px; line-height: 1.4; }\n.gtm-smc822nbrt .smc-arch-arrow { text-align: center; font-size: 20px; color: var(--smc-nv); font-weight: 700; }\n\n\/* ===== SPEC TABLE ===== *\/\n.gtm-smc822nbrt .smc-tbl-wrap { overflow-x: auto; }\n.gtm-smc822nbrt .smc-tbl { width: 100%; border-collapse: collapse; font-size: 14px; }\n.gtm-smc822nbrt .smc-tbl th { background: var(--smc-navy); color: #fff; padding: 11px 14px; text-align: left; font-weight: 600; font-size: 13px; }\n.gtm-smc822nbrt .smc-tbl th:first-child { border-radius: 6px 0 0 0; }\n.gtm-smc822nbrt .smc-tbl th:last-child { border-radius: 0 6px 0 0; }\n.gtm-smc822nbrt .smc-tbl td { padding: 10px 14px; border-bottom: 1px solid var(--smc-border); vertical-align: top; }\n.gtm-smc822nbrt .smc-tbl tr:nth-child(even) td { background: var(--smc-bg); }\n.gtm-smc822nbrt .smc-tbl tr:last-child td { border-bottom: none; }\n.gtm-smc822nbrt .smc-tbl td:first-child { font-weight: 600; color: var(--smc-navy); white-space: nowrap; }\n.gtm-smc822nbrt .smc-tbl .group-row td { background: var(--smc-nv-pale); color: var(--smc-nv-dark); font-weight: 700; font-size: 12px; text-transform: uppercase; letter-spacing: 0.4px; padding: 7px 14px; }\n.gtm-smc822nbrt .smc-badge-green { display: inline-block; background: #E6F6EC; color: #007A2F; border: 1px solid #A8DDB8; padding: 2px 8px; border-radius: 3px; font-size: 12px; font-weight: 600; }\n.gtm-smc822nbrt .smc-badge-nv { display: inline-block; background: var(--smc-nv-pale); color: var(--smc-nv-dark); border: 1px solid #CDE79A; padding: 2px 8px; border-radius: 3px; font-size: 12px; font-weight: 600; }\n\n\/* ===== PROTO GRID ===== *\/\n.gtm-smc822nbrt .smc-proto-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 14px; }\n.gtm-smc822nbrt .smc-proto-card { border: 1px solid var(--smc-border); border-radius: 8px; overflow: hidden; }\n.gtm-smc822nbrt .smc-proto-head { padding: 11px 14px; font-size: 14px; font-weight: 700; display: flex; align-items: center; gap: 8px; }\n.gtm-smc822nbrt .smc-proto-head.gpu { background: var(--smc-nv-pale); color: var(--smc-nv-dark); border-bottom: 2px solid var(--smc-nv); }\n.gtm-smc822nbrt .smc-proto-head.stg { background: #EEF3FA; color: var(--smc-navy); border-bottom: 2px solid var(--smc-navy); }\n.gtm-smc822nbrt .smc-proto-list { list-style: none; padding: 10px 14px; display: flex; flex-wrap: wrap; gap: 6px; margin: 0; }\n.gtm-smc822nbrt .smc-proto-list li { background: var(--smc-bg); border: 1px solid var(--smc-border); border-radius: 4px; padding: 3px 10px; font-size: 13px; color: var(--smc-text); font-weight: 500; }\n\n\/* ===== USE CASES ===== *\/\n.gtm-smc822nbrt .smc-use-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 14px; }\n.gtm-smc822nbrt .smc-use-card { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 8px; padding: 20px; border-top: 3px solid var(--smc-nv); transition: box-shadow 0.2s; }\n.gtm-smc822nbrt .smc-use-card:hover { box-shadow: 0 4px 18px rgba(118,185,0,0.12); }\n.gtm-smc822nbrt .smc-use-tag { display: inline-block; margin-bottom: 8px; background: var(--smc-nv-pale); color: var(--smc-nv-dark); padding: 3px 10px; border-radius: 3px; font-size: 11px; font-weight: 700; letter-spacing: 0.5px; text-transform: uppercase; }\n.gtm-smc822nbrt .smc-use-card h3 { font-size: 15px; font-weight: 700; color: var(--smc-navy); margin: 0 0 7px; }\n.gtm-smc822nbrt .smc-use-card p { font-size: 13px; color: var(--smc-muted); line-height: 1.7; margin: 0; }\n\n\/* ===== COMPAT ===== *\/\n.gtm-smc822nbrt .smc-compat { display: flex; flex-wrap: wrap; gap: 10px; }\n.gtm-smc822nbrt .smc-compat-item { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 6px; padding: 7px 14px; font-size: 13px; color: var(--smc-text); display: flex; align-items: center; gap: 6px; }\n.gtm-smc822nbrt .smc-compat-item::before { content: '\u2713'; color: var(--smc-nv); font-weight: 700; }\n\n\/* ===== WHY ===== *\/\n.gtm-smc822nbrt .smc-why { background: linear-gradient(135deg, #F5F7FA 0%, var(--smc-nv-pale) 100%); border: 1px solid #CDE79A; border-radius: 10px; padding: 32px; display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 22px; }\n.gtm-smc822nbrt .smc-why-intro { grid-column: 1 \/ -1; }\n.gtm-smc822nbrt .smc-why-intro h2 { font-size: 21px; font-weight: 700; color: var(--smc-navy); margin: 0 0 8px; }\n.gtm-smc822nbrt .smc-why-intro p { font-size: 14px; color: var(--smc-text); line-height: 1.7; margin: 0; }\n.gtm-smc822nbrt .smc-why-item { display: flex; gap: 13px; }\n.gtm-smc822nbrt .smc-why-icon { width: 42px; height: 42px; min-width: 42px; border-radius: 8px; background: #fff; border: 1px solid var(--smc-nv); display: flex; align-items: center; justify-content: center; font-size: 19px; }\n.gtm-smc822nbrt .smc-why-item h4 { font-size: 14px; font-weight: 700; color: var(--smc-navy); margin: 0 0 4px; }\n.gtm-smc822nbrt .smc-why-item p { font-size: 13px; color: var(--smc-muted); line-height: 1.6; margin: 0; }\n\n\/* ===== FAQ ===== *\/\n.gtm-smc822nbrt .smc-faq-item { border: 1px solid var(--smc-border); border-radius: 8px; margin-bottom: 10px; overflow: hidden; }\n.gtm-smc822nbrt .smc-faq-q { padding: 15px 18px; font-size: 14px; font-weight: 600; color: var(--smc-navy); background: var(--smc-white); cursor: pointer; display: flex; justify-content: space-between; align-items: center; user-select: none; transition: background 0.15s; }\n.gtm-smc822nbrt .smc-faq-q:hover { background: var(--smc-nv-pale); }\n.gtm-smc822nbrt .smc-faq-q .smc-arr { font-size: 18px; transition: transform 0.2s; color: var(--smc-nv); font-weight: 700; }\n.gtm-smc822nbrt .smc-faq-a { display: none; padding: 0 18px 14px; font-size: 14px; color: var(--smc-text); line-height: 1.75; border-top: 1px solid var(--smc-border); background: var(--smc-bg); }\n.gtm-smc822nbrt .smc-faq-item.smc-open .smc-faq-a { display: block; }\n.gtm-smc822nbrt .smc-faq-item.smc-open .smc-faq-q { background: var(--smc-nv-pale); color: var(--smc-nv-dark); }\n.gtm-smc822nbrt .smc-faq-item.smc-open .smc-arr { transform: rotate(180deg); }\n\n\/* ===== REL ===== *\/\n.gtm-smc822nbrt .smc-rel-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(210px, 1fr)); gap: 13px; }\n.gtm-smc822nbrt .smc-rel-card { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 8px; padding: 17px; text-decoration: none; display: block; transition: box-shadow 0.2s, border-color 0.2s, transform 0.15s; }\n.gtm-smc822nbrt .smc-rel-card:hover { border-color: var(--smc-nv); box-shadow: 0 4px 14px rgba(118,185,0,0.12); transform: translateY(-2px); }\n.gtm-smc822nbrt .smc-rel-icon { font-size: 22px; margin-bottom: 9px; }\n.gtm-smc822nbrt .smc-rel-card h3 { font-size: 14px; font-weight: 700; color: var(--smc-navy); margin: 0 0 5px; }\n.gtm-smc822nbrt .smc-rel-card p { font-size: 13px; color: var(--smc-muted); margin: 0; line-height: 1.5; }\n\n\/* ===== CTA BANNER \u2014 NVIDIA green gradient ===== *\/\n.gtm-smc822nbrt .smc-cta-banner { background: linear-gradient(135deg, #003A70 0%, #0B4A2E 60%, var(--smc-nv-dark) 100%); border-radius: 10px; padding: 38px 32px; text-align: center; position: relative; overflow: hidden; }\n.gtm-smc822nbrt .smc-cta-banner::before { content:\"\"; position:absolute; top:-80px; right:-80px; width:260px; height:260px; border-radius:50%; background: radial-gradient(circle, rgba(156,223,58,0.2) 0%, rgba(156,223,58,0) 70%); pointer-events:none; }\n.gtm-smc822nbrt .smc-cta-banner h2 { font-size: 24px; font-weight: 700; color: #fff; margin: 0 0 10px; position: relative; }\n.gtm-smc822nbrt .smc-cta-banner p { font-size: 14px; color: rgba(255,255,255,0.88); margin: 0 0 22px; position: relative; }\n.gtm-smc822nbrt .smc-cta-btns { display: flex; gap: 12px; justify-content: center; flex-wrap: wrap; position: relative; }\n.gtm-smc822nbrt .smc-btn-white { background: #fff; color: var(--smc-nv-dark); padding: 12px 26px; font-size: 15px; font-weight: 700; border-radius: 4px; text-decoration: none; display: inline-flex; align-items: center; gap: 8px; transition: background 0.15s, transform 0.15s; }\n.gtm-smc822nbrt .smc-btn-white:hover { background: var(--smc-nv-pale); transform: translateY(-1px); }\n.gtm-smc822nbrt .smc-btn-ow { background: transparent; color: #fff; border: 2px solid rgba(255,255,255,0.5); padding: 12px 26px; font-size: 15px; font-weight: 600; border-radius: 4px; text-decoration: none; display: inline-flex; align-items: center; gap: 8px; }\n.gtm-smc822nbrt .smc-btn-ow:hover { border-color: #fff; background: rgba(255,255,255,0.08); }\n\n@media (max-width: 900px) { .gtm-smc822nbrt .smc-hero-in { grid-template-columns: 1fr; } .gtm-smc822nbrt .smc-hero-visual { max-width: 320px; margin: 0 auto; } }\n@media (max-width: 700px) {\n  .gtm-smc822nbrt .smc-hero { padding: 32px 20px 28px; }\n  .gtm-smc822nbrt .smc-hero h1 { font-size: 22px; }\n  .gtm-smc822nbrt .smc-hero h1 .pn { font-size: 16px; }\n  .gtm-smc822nbrt .smc-stats { padding: 14px 16px; }\n  .gtm-smc822nbrt .smc-stat { padding: 0 10px; }\n  .gtm-smc822nbrt .smc-proto-grid { grid-template-columns: 1fr; }\n  .gtm-smc822nbrt .smc-why { grid-template-columns: 1fr; padding: 22px; }\n  .gtm-smc822nbrt .smc-why-intro { grid-column: 1; }\n  .gtm-smc822nbrt .smc-arch-grid { grid-template-columns: 1fr; }\n  .gtm-smc822nbrt .smc-arch-arrow { transform: rotate(90deg); }\n}\n<\/style>\n\n<!-- ===== HTML \u0130\u00c7ER\u0130K ===== -->\n<div class=\"gtm-smc822nbrt\">\n\n  <nav class=\"smc-bc\" aria-label=\"Breadcrumb\">\n    <a href=\"https:\/\/gtmteknoloji.com\">Ana Sayfa<\/a><span>\u203a<\/span>\n    <a href=\"https:\/\/gtmteknoloji.com\/b2b\">B2B Portal<\/a><span>\u203a<\/span>\n    <a href=\"https:\/\/gtmteknoloji.com\/b2b\/sunucu\">Sunucu<\/a><span>\u203a<\/span>\n    <a href=\"https:\/\/gtmteknoloji.com\/b2b\/supermicro\">Supermicro<\/a><span>\u203a<\/span>\n    <strong>SYS-822GS-NBRT<\/strong>\n  <\/nav>\n\n  <div class=\"smc-hero\">\n    <div class=\"smc-hero-in\">\n      <div>\n        <div class=\"smc-badge\"><span class=\"dot\"><\/span> 8U GPU SuperServer \u00b7 NVIDIA HGX B200 \u00b7 Dual Intel Xeon 6700<\/div>\n        <h1>\n          Supermicro <span class=\"brand\">SYS-822GS-NBRT<\/span> \u2014 8\u00d7 HGX B200 \u00b7 1.44TB HBM3e\n          <span class=\"pn\">Super X14DBG-H \u00b7 CSE-GP807TS \u00b7 Universal GPU 8U<\/span>\n        <\/h1>\n        <p class=\"smc-sub\">NVIDIA HGX B200 8-GPU \u00b7 5. Nesil NVLink 1.8TB\/s \u00b7 Dual Intel Xeon 6700 P-core \u00b7 8TB DDR5 \u00b7 10 \u00d7 PCIe 5.0 x16 \u00b7 8 \u00d7 E1.S NVMe \u00b7 6 \u00d7 6600W Titanium \u2014 LLM, Generative AI ve HPC i\u00e7in enterprise s\u0131n\u0131f\u0131 AI factory platformu.<\/p>\n        <div class=\"smc-chips\">\n          <div class=\"smc-chip nv\"><strong>NVIDIA<\/strong> HGX B200<\/div>\n          <div class=\"smc-chip nv\"><strong>8\u00d7<\/strong> Blackwell SXM<\/div>\n          <div class=\"smc-chip nv\"><strong>1.44TB<\/strong> HBM3e<\/div>\n          <div class=\"smc-chip nv\"><strong>NVLink 5<\/strong> 1.8TB\/s<\/div>\n          <div class=\"smc-chip\"><strong>8TB<\/strong> DDR5<\/div>\n          <div class=\"smc-chip\"><strong>10\u00d7<\/strong> PCIe 5.0<\/div>\n          <div class=\"smc-chip\"><strong>6\u00d7<\/strong> 6600W Titanium<\/div>\n          <div class=\"smc-chip\"><strong>8U<\/strong> Air-Cooled<\/div>\n        <\/div>\n        <div class=\"smc-cta\">\n          <a href=\"https:\/\/gtmteknoloji.com\/b2b\/iletisim\/#:~:text=YOUTUBE-,MESAJ%20G%C3%96NDER%C4%B0N,-HIZLI%20%C4%B0LET%C4%B0%C5%9E%C4%B0M%20FORMU\" class=\"smc-btn-p\">&#128231; Teklif \u0130ste<\/a>\n          <a href=\"#smc-teknik\" class=\"smc-btn-o\">&#128203; Teknik \u00d6zellikler<\/a>\n        <\/div>\n      <\/div>\n      <div class=\"smc-hero-visual\" aria-hidden=\"true\">\n        <span class=\"pill\">NVIDIA HGX B200<\/span>\n        <div class=\"gpu-mark\">8\u00d7 GPU<\/div>\n        <div class=\"gpu-name\">Blackwell SXM \u00b7 1.44TB HBM3e<\/div>\n        <div class=\"gpu-bars\"><span><\/span><span><\/span><span><\/span><span><\/span><span><\/span><span><\/span><span><\/span><span><\/span><\/div>\n        <div class=\"gpu-spec\">NVLink 5 \u00b7 <strong>1.8TB\/s<\/strong> all-to-all<br>180GB HBM3e \/ GPU \u00b7 NVSwitch<\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"smc-stats\">\n    <div class=\"smc-stats-in\">\n      <div class=\"smc-stat\"><div class=\"smc-sn\">8<span>\u00d7 B200<\/span><\/div><div class=\"smc-sl\">HGX SXM<\/div><\/div>\n      <div class=\"smc-stat\"><div class=\"smc-sn\">1.44<span>TB<\/span><\/div><div class=\"smc-sl\">HBM3e Toplam<\/div><\/div>\n      <div class=\"smc-stat\"><div class=\"smc-sn\">1.8<span>TB\/s<\/span><\/div><div class=\"smc-sl\">NVLink Fabric<\/div><\/div>\n      <div class=\"smc-stat\"><div class=\"smc-sn\">8<span>TB<\/span><\/div><div class=\"smc-sl\">DDR5 RDIMM<\/div><\/div>\n      <div class=\"smc-stat\"><div class=\"smc-sn\">39.6<span>kW<\/span><\/div><div class=\"smc-sl\">6\u00d7 6600W Titanium<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"smc-sec\" style=\"margin-top:0;\">\n    <h2 class=\"smc-sec-title\">\u00dcr\u00fcn A\u00e7\u0131klamas\u0131<\/h2>\n\n    <div class=\"smc-callout\">\n      <div class=\"smc-callout-icon\">\u26a1<\/div>\n      <div>\n        <h4>SYS-822GS-NBRT Nedir? \"Enterprise S\u0131n\u0131f\u0131 AI Factory: <span class=\"nv-hi\">NVIDIA HGX B200<\/span> 8-GPU \u00b7 1.44TB HBM3e\"<\/h4>\n        <p><strong>Supermicro SYS-822GS-NBRT<\/strong>, 8U \u015fasi i\u00e7inde <span class=\"nv-hi\">NVIDIA HGX B200 8-GPU baseboard<\/span> (Blackwell SXM \u00b7 toplam 1.44TB HBM3e \u00b7 GPU ba\u015f\u0131na 180GB \u00b7 5. Nesil NVLink ve NVSwitch ile 1.8TB\/s GPU-GPU fabric), \u00e7ift Intel Xeon 6700 P-core i\u015flemci, 8TB DDR5 RDIMM, 10 \u00d7 PCIe 5.0 x16 slot ve 8 \u00d7 hot-swap E1.S NVMe destekleyen bir GPU SuperServer'd\u0131r. Trilyon parametreli LLM, generative AI e\u011fitimi, HPC sim\u00fclasyonu, ila\u00e7 ke\u015ffi ve otonom ara\u00e7 AI da\u011f\u0131t\u0131mlar\u0131 i\u00e7in tasarlanm\u0131\u015f enterprise s\u0131n\u0131f\u0131 AI factory platformu.<\/p>\n      <\/div>\n    <\/div>\n\n    <div class=\"smc-intro\">\n      <p><strong>Supermicro SYS-822GS-NBRT<\/strong>, <span class=\"nv-hi\">NVIDIA HGX B200 8-GPU<\/span> platformunu enterprise veri merkezlerine getiren 8U universal GPU SuperServer'd\u0131r. <strong>Blackwell SXM<\/strong> mimarisi ile 8 GPU aras\u0131nda toplam <strong>1.44TB HBM3e<\/strong> bellek (GPU ba\u015f\u0131na 180GB) ve <strong>5. Nesil NVLink + NVSwitch<\/strong> ile 1.8TB\/s all-to-all GPU-GPU fabric, trilyon parametreli LLM pre-training, generative AI, multi-modal model e\u011fitimi ve real-time inference i\u00e7in optimize. <strong>Super X14DBG-H<\/strong> anakart \u00fczerinde \u00e7ift Socket E2 (LGA-4710) <strong>Intel Xeon 6700\/6500 P-core<\/strong> i\u015flemci (toplam 172C\/344T \u00b7 350W TDP), 32 \u00d7 DDR5 DIMM (4TB 6400 MT\/s veya 8TB 5200 MT\/s ECC RDIMM), <strong>8 \u00d7 PCIe 5.0 x16 LP<\/strong> slot ile <span class=\"nv-hi\">NVIDIA ConnectX-7 \/ ConnectX-8 SuperNIC<\/span> (OSFP 400\/800GbE) yerle\u015fimi ve NVIDIA Quantum-2 \/ Quantum-X800 InfiniBand fabric \u00fczerinde SuperPOD \u00f6l\u00e7eklenmesi, 2 \u00d7 PCIe 5.0 x16 FHHL, 2 \u00d7 RJ45 10GbE (Intel X710), 8 \u00d7 E1.S hot-swap NVMe + 2 \u00d7 M.2 NVMe, 6 \u00d7 6600W Titanium (3+3 redundant, %96 verim) PSU ve TPM 2.0 + Silicon Root of Trust g\u00fcvenlik katman\u0131 sunulur. GTM Teknoloji, Supermicro T\u00fcrkiye resmi distrib\u00fct\u00f6r\u00fc ve NVIDIA NPN \u00fcyesi olarak SYS-822GS-NBRT i\u00e7in USD fiyatl\u0131 kurumsal tedarik, AI fabric tasar\u0131m\u0131, rack g\u00fc\u00e7\/so\u011futma planlamas\u0131 ve 7\/24 destek sa\u011flar.<\/p>\n    <\/div>\n\n    <div class=\"smc-snip\">\n      <div class=\"smc-snip-lbl\">&#128269; H\u0131zl\u0131 Cevap \u2014 Featured Snippet<\/div>\n      <strong>Supermicro SYS-822GS-NBRT nedir?<\/strong> 8U form fakt\u00f6rde NVIDIA HGX B200 8-GPU (Blackwell SXM \u00b7 1.44TB HBM3e \u00b7 180GB\/GPU \u00b7 NVLink 1.8TB\/s), \u00e7ift Intel Xeon 6700 P-core i\u015flemci, 8TB DDR5, 10 \u00d7 PCIe 5.0 x16 slot (ConnectX-7\/8 SuperNIC haz\u0131r), 8 \u00d7 E1.S NVMe ve 6 \u00d7 6600W Titanium PSU destekleyen enterprise AI factory sunucusudur. LLM training, generative AI, HPC ve ila\u00e7 ke\u015ffi i\u015f y\u00fckleri i\u00e7in en y\u00fcksek performans katman\u0131n\u0131 sa\u011flar.\n    <\/div>\n\n    <div class=\"smc-arch\">\n      <div class=\"smc-arch-title\">SYS-822GS-NBRT \u2014 AI Factory Veri Ak\u0131\u015f\u0131 (Xeon 6700 \u2192 HGX B200 \u2192 SuperNIC)<\/div>\n      <div class=\"smc-arch-grid\">\n        <div class=\"smc-arch-box\">\n          <div class=\"icon\">\ud83e\udde0<\/div>\n          <div class=\"lbl\">CPU Katman\u0131<\/div>\n          <div class=\"sub\">2\u00d7 Xeon 6700 P-core<br>DDR5-6400 \u00b7 AMX \u00b7 PCIe 5<\/div>\n        <\/div>\n        <div class=\"smc-arch-arrow\">\u21c4<\/div>\n        <div class=\"smc-arch-box highlight\">\n          <div class=\"icon\">\ud83c\udfae<\/div>\n          <div class=\"lbl\">NVIDIA HGX B200 Fabric<\/div>\n          <div class=\"sub\">8\u00d7 Blackwell SXM \u00b7 1.44TB HBM3e<br>NVLink 5 \u00b7 1.8TB\/s \u00b7 NVSwitch<\/div>\n        <\/div>\n        <div class=\"smc-arch-arrow\">\u21c4<\/div>\n        <div class=\"smc-arch-box\">\n          <div class=\"icon\">\ud83c\udf10<\/div>\n          <div class=\"lbl\">Scale-Out<\/div>\n          <div class=\"sub\">10\u00d7 PCIe 5.0 x16<br>CX-7\/CX-8 \u00b7 Quantum IB<\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n\n    <div style=\"margin-top:20px;\" class=\"smc-feat-grid\">\n      <div class=\"smc-feat-card nv\"><div class=\"smc-feat-icon\">\ud83c\udfae<\/div><h3>NVIDIA HGX B200 8-GPU<\/h3><p>Blackwell SXM \u00b7 8 GPU \u00b7 toplam 1.44TB HBM3e (GPU ba\u015f\u0131na 180GB). FP4\/FP8 Transformer Engine 2 ile trilyon parametreli LLM training ve real-time inference.<\/p><\/div>\n      <div class=\"smc-feat-card nv\"><div class=\"smc-feat-icon\">\ud83d\udd17<\/div><h3>5. Nesil NVLink + NVSwitch<\/h3><p>GPU-GPU aras\u0131 1.8TB\/s all-to-all bant geni\u015fli\u011fi. Model paralelizmi i\u00e7in minimum gecikme, tensor ve pipeline parallel training i\u00e7in optimize.<\/p><\/div>\n      <div class=\"smc-feat-card\"><div class=\"smc-feat-icon\">\ud83e\udde0<\/div><h3>Dual Intel Xeon 6700 P-core<\/h3><p>Socket E2 (LGA-4710) \u00b7 350W TDP \u00b7 CPU ba\u015f\u0131na 86C\/172T (672MB L3). AMX ve AVX-512 ile data pipeline, embedding ve preprocessing h\u0131zland\u0131rma.<\/p><\/div>\n      <div class=\"smc-feat-card\"><div class=\"smc-feat-icon\">\ud83d\udcbe<\/div><h3>8TB DDR5 Bellek<\/h3><p>32 \u00d7 DDR5 DIMM \u00b7 4TB 6400 MT\/s (1DPC) veya 8TB 5200 MT\/s (2DPC) ECC RDIMM. B\u00fcy\u00fck dataset staging ve GPU feed i\u00e7in ideal bellek havuzu.<\/p><\/div>\n      <div class=\"smc-feat-card nv\"><div class=\"smc-feat-icon\">\ud83d\udd00<\/div><h3>ConnectX-7 \/ CX-8 SuperNIC Haz\u0131r<\/h3><p>8 \u00d7 PCIe 5.0 x16 LP slot, NVIDIA ConnectX-7 (NDR 400GbE) veya ConnectX-8 SuperNIC (XDR 800GbE) ile Quantum-2 \/ Quantum-X800 IB scale-out.<\/p><\/div>\n      <div class=\"smc-feat-card\"><div class=\"smc-feat-icon\">\ud83d\udcbf<\/div><h3>8\u00d7 E1.S Hot-Swap NVMe<\/h3><p>\u00d6n panel 8 \u00d7 E1.S NVMe (PCIe 5.0 x4) + 2 \u00d7 M.2 NVMe (2280\/22110 \u00b7 boot ve cache). Dataset ve checkpoint i\u00e7in y\u00fcksek IOPS depolama.<\/p><\/div>\n      <div class=\"smc-feat-card\"><div class=\"smc-feat-icon\">\ud83d\udd0b<\/div><h3>6\u00d7 6600W Titanium (3+3)<\/h3><p>%96 verimli Titanium, 3+3 redundant. 230V'ta ~19.5kW s\u00fcrd\u00fcr\u00fclebilir \u00e7\u0131k\u0131\u015f. Y\u00fcksek g\u00fc\u00e7 AI da\u011f\u0131t\u0131m\u0131 i\u00e7in 200-240V rack PDU uyumlu.<\/p><\/div>\n      <div class=\"smc-feat-card\"><div class=\"smc-feat-icon\">\ud83d\udd10<\/div><h3>TPM 2.0 \u00b7 Silicon RoT<\/h3><p>TPM 2.0 \u00b7 NIST 800-193 uyumlu Silicon Root of Trust \u00b7 \u0130mzal\u0131 firmware \u00b7 Runtime BMC Protection \u00b7 System Lockdown \u00b7 SuperCloud Composer y\u00f6netimi.<\/p><\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"smc-sec\">\n    <h2 class=\"smc-sec-title\">HGX B200 vs HGX B300 \u2014 Upgrade Path<\/h2>\n    <p style=\"font-size:14px;color:#5A6478;margin-bottom:14px;\">SYS-822GS-NBRT (HGX B200) ile yeni nesil SYS-822GS-NB3RT (HGX B300 Blackwell Ultra) aras\u0131ndaki temel farklar \u2014 ayn\u0131 8U \u015fasi ve Xeon 6700 CPU platformunu payla\u015fan iki se\u00e7enek:<\/p>\n    <div class=\"smc-cmp\">\n      <table class=\"smc-cmp-tbl\">\n        <thead>\n          <tr><th style=\"width:24%\">\u00d6zellik<\/th><th class=\"me\">SYS-822GS-NBRT (B200)<\/th><th class=\"alt\">SYS-822GS-NB3RT (B300)<\/th><\/tr>\n        <\/thead>\n        <tbody>\n          <tr><td>GPU Mimarisi<\/td><td class=\"me\">NVIDIA Blackwell SXM<\/td><td>NVIDIA Blackwell Ultra SXM<\/td><\/tr>\n          <tr><td>GPU Baseboard<\/td><td class=\"me\">HGX B200 8-GPU<\/td><td>HGX B300 8-GPU<\/td><\/tr>\n          <tr><td>HBM3e (GPU ba\u015f\u0131na)<\/td><td class=\"me\">180 GB<\/td><td>288 GB<\/td><\/tr>\n          <tr><td>HBM3e (Toplam)<\/td><td class=\"me\">1.44 TB<\/td><td>2.3 TB<\/td><\/tr>\n          <tr><td>NVLink<\/td><td class=\"me\">5. Nesil \u00b7 1.8 TB\/s<\/td><td>5. Nesil \u00b7 1.8 TB\/s<\/td><\/tr>\n          <tr><td>CPU<\/td><td class=\"me\">Intel Xeon 6700 P-core \u00b7 350W TDP<\/td><td>Intel Xeon 6700 P-core \u00b7 350W TDP<\/td><\/tr>\n          <tr><td>Bellek<\/td><td class=\"me\">32\u00d7 DDR5 \u00b7 8 TB<\/td><td>32\u00d7 DDR5 \u00b7 8 TB<\/td><\/tr>\n          <tr><td>PSU<\/td><td class=\"me\">6\u00d7 6600W Titanium<\/td><td>6\u00d7 6600W Titanium<\/td><\/tr>\n          <tr><td>Kullan\u0131m Senaryosu<\/td><td class=\"me\">Production inference \u00b7 Research \u00b7 LLM fine-tuning<\/td><td>Frontier model training \u00b7 Trilyon param. pre-training<\/td><\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n    <p style=\"font-size:12px;color:#5A6478;margin-top:10px;\">* B200 ve B300 modelleri ayn\u0131 8U \u015fasi\/CPU platformunda geli\u015fti\u011finden, a\u015famal\u0131 ge\u00e7i\u015f (phased rollout) senaryolar\u0131 i\u00e7in GTM m\u00fchendislik ekibiyle ileti\u015fime ge\u00e7ebilirsiniz.<\/p>\n  <\/div>\n\n  <div class=\"smc-sec\" id=\"smc-teknik\">\n    <h2 class=\"smc-sec-title\">Teknik \u00d6zellikler<\/h2>\n    <div class=\"smc-snip\" style=\"margin-bottom:18px;\">\n      <div class=\"smc-snip-lbl\">&#128203; Teknik \u00d6zet<\/div>\n      <strong>SYS-822GS-NBRT<\/strong> \u00b7 Super X14DBG-H \u00b7 CSE-GP807TS \u00b7 8U Rackmount \u00b7 Dual Socket E2 (LGA-4710) \u00b7 Intel Xeon 6700\/6500 P-core (350W TDP \u00b7 172C\/344T) \u00b7 NVIDIA HGX B200 8-GPU \u00b7 1.44TB HBM3e (180GB\/GPU) \u00b7 NVLink 5 1.8TB\/s \u00b7 32 \u00d7 DDR5 DIMM \u00b7 4TB 6400 \/ 8TB 5200 MT\/s \u00b7 2 \u00d7 X710 10GbE \u00b7 8 \u00d7 E1.S NVMe \u00b7 2 \u00d7 M.2 NVMe \u00b7 8 \u00d7 PCIe 5.0 x16 LP + 2 \u00d7 PCIe 5.0 x16 FHHL \u00b7 6 \u00d7 6600W Titanium (3+3) \u00b7 TPM 2.0 \u00b7 Silicon RoT\n    <\/div>\n    <div class=\"smc-tbl-wrap\">\n      <table class=\"smc-tbl\">\n        <thead><tr><th style=\"width:34%\">\u00d6zellik<\/th><th>De\u011fer<\/th><\/tr><\/thead>\n        <tbody>\n          <tr class=\"group-row\"><td colspan=\"2\">Genel<\/td><\/tr>\n          <tr><td>\u00dcr\u00fcn Kodu (SKU)<\/td><td>SYS-822GS-NBRT<\/td><\/tr>\n          <tr><td>Anakart<\/td><td>Super X14DBG-H (Intel C741 chipset)<\/td><\/tr>\n          <tr><td>\u015easi<\/td><td>CSE-GP807TS<\/td><\/tr>\n          <tr><td>Form Factor<\/td><td>8U Rackmount \u00b7 Universal GPU \u00b7 Air-Cooled<\/td><\/tr>\n          <tr><td>Boyutlar (H\u00d7W\u00d7D)<\/td><td>356 mm \u00d7 449 mm \u00d7 950 mm (13.8\" \u00d7 17.6\" \u00d7 37.4\")<\/td><\/tr>\n          <tr><td>A\u011f\u0131rl\u0131k<\/td><td>Net 133 kg (293 lbs)<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">\u0130\u015flemci (CPU)<\/td><\/tr>\n          <tr><td>Soket<\/td><td>Dual Socket E2 (LGA-4710)<\/td><\/tr>\n          <tr><td>Desteklenen CPU<\/td><td>Intel\u00ae Xeon\u00ae 6700 \/ 6500 serisi P-core<\/td><\/tr>\n          <tr><td>Maks. \u00c7ekirdek \/ Thread<\/td><td>172C \/ 344T (2\u00d7 86C)<\/td><\/tr>\n          <tr><td>Maks. L3 Cache<\/td><td>336 MB \/ CPU (672 MB toplam)<\/td><\/tr>\n          <tr><td>Maks. TDP<\/td><td>350W (Hava So\u011futmal\u0131)<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">GPU & NVLink Fabric<\/td><\/tr>\n          <tr><td>GPU Baseboard<\/td><td>NVIDIA HGX B200 8-GPU (SXM)<\/td><\/tr>\n          <tr><td>GPU Mimarisi<\/td><td>NVIDIA Blackwell<\/td><\/tr>\n          <tr><td>HBM3e \/ GPU<\/td><td><span class=\"smc-badge-nv\">180 GB<\/span><\/td><\/tr>\n          <tr><td>Toplam HBM3e Bellek<\/td><td><span class=\"smc-badge-nv\">1.44 TB<\/span><\/td><\/tr>\n          <tr><td>GPU-GPU Interconnect<\/td><td><span class=\"smc-badge-nv\">5. Nesil NVLink + NVSwitch \u00b7 1.8TB\/s<\/span><\/td><\/tr>\n          <tr><td>CPU-GPU Interconnect<\/td><td>PCIe 5.0 x16 (her GPU ba\u015f\u0131na)<\/td><\/tr>\n          <tr><td>GPU TDP<\/td><td>1000W \/ GPU (hava so\u011futmal\u0131)<\/td><\/tr>\n          <tr><td>Hesaplama Hassasiyeti<\/td><td>FP4 \/ FP8 \/ FP16 \/ BF16 \/ TF32 \/ FP64 \u00b7 Transformer Engine 2<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">Bellek (CPU Taraf\u0131)<\/td><\/tr>\n          <tr><td>Yuva Say\u0131s\u0131<\/td><td>32 \u00d7 DDR5 DIMM<\/td><\/tr>\n          <tr><td>Maks. Kapasite (1DPC)<\/td><td>4 TB \u00b7 6400 MT\/s<\/td><\/tr>\n          <tr><td>Maks. Kapasite (2DPC)<\/td><td>8 TB \u00b7 5200 MT\/s<\/td><\/tr>\n          <tr><td>Tip<\/td><td>ECC DDR5 RDIMM \u00b7 1.1V<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">A\u011f & I\/O<\/td><\/tr>\n          <tr><td>Y\u00f6netim\/Storage LAN<\/td><td>2 \u00d7 RJ45 10GbE (Intel X710)<\/td><\/tr>\n          <tr><td>BMC LAN<\/td><td>1 \u00d7 RJ45 1GbE Dedicated<\/td><\/tr>\n          <tr><td>Y\u00fcksek H\u0131zl\u0131 LAN (opsiyonel)<\/td><td>8 \u00d7 PCIe 5.0 x16 LP slot \u2014 NVIDIA ConnectX-7 (NDR 400GbE) veya ConnectX-8 SuperNIC (XDR 800GbE OSFP) ile donat\u0131labilir<\/td><\/tr>\n          <tr><td>USB<\/td><td>1 \u00d7 USB 3.0 Type-A + 1 \u00d7 USB 2.0 Type-A<\/td><\/tr>\n          <tr><td>Video<\/td><td>1 \u00d7 VGA + 1 \u00d7 Mini-DisplayPort<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">Geni\u015fleme (PCIe)<\/td><\/tr>\n          <tr><td>Low-Profile Slotlar<\/td><td>8 \u00d7 PCIe 5.0 x16 LP (SuperNIC\/DPU\/GPU direct)<\/td><\/tr>\n          <tr><td>FHHL Slotlar<\/td><td>2 \u00d7 PCIe 5.0 x16 FHHL<\/td><\/tr>\n          <tr><td>Toplam PCIe 5.0 x16<\/td><td>10 slot<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">Depolama<\/td><\/tr>\n          <tr><td>Hot-Swap Yuvalar<\/td><td>8 \u00d7 \u00d6n E1.S NVMe (PCIe 5.0 x4)<\/td><\/tr>\n          <tr><td>M.2 NVMe<\/td><td>2 \u00d7 M.2 PCIe 5.0 x4 NVMe (2280 \/ 22110 \u00b7 M-key)<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">G\u00fc\u00e7 & So\u011futma<\/td><\/tr>\n          <tr><td>G\u00fc\u00e7 Kayna\u011f\u0131<\/td><td>6 \u00d7 6600W Titanium Level (%96 verim) \u00b7 3+3 Redundant<\/td><\/tr>\n          <tr><td>Giri\u015f<\/td><td>200-240Vac \u00b7 50-60Hz (230V'ta 6500W\/PSU)<\/td><\/tr>\n          <tr><td>Fan<\/td><td>12 \u00d7 heavy-duty PWM counter-rotating \u00b7 s\u0131cakl\u0131k kontroll\u00fc<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">G\u00fcvenlik & Y\u00f6netim<\/td><\/tr>\n          <tr><td>Donan\u0131m G\u00fcvenli\u011fi<\/td><td>TPM 2.0 \u00b7 Silicon Root of Trust (NIST 800-193) \u00b7 \u0130mzal\u0131 Firmware \u00b7 Secure Boot \u00b7 Runtime BMC Protection \u00b7 System Lockdown<\/td><\/tr>\n          <tr><td>Y\u00f6netim Yaz\u0131l\u0131m\u0131<\/td><td>SuperCloud Composer \u00b7 Supermicro Server Manager (SSM) \u00b7 Super Diagnostics Offline (SDO) \u00b7 Thin-Agent Service (TAS) \u00b7 SuperServer Automation Assistant (SAA)<\/td><\/tr>\n          <tr><td>BIOS<\/td><td>AMI 64MB UEFI<\/td><\/tr>\n\n          <tr class=\"group-row\"><td colspan=\"2\">\u00c7evresel<\/td><\/tr>\n          <tr><td>\u00c7al\u0131\u015fma S\u0131cakl\u0131\u011f\u0131<\/td><td>10\u00b0C \u2013 35\u00b0C (50\u00b0F \u2013 95\u00b0F)<\/td><\/tr>\n          <tr><td>Depolama S\u0131cakl\u0131\u011f\u0131<\/td><td>-40\u00b0C \u2013 60\u00b0C<\/td><\/tr>\n          <tr><td>Nem<\/td><td>%8 \u2013 %90 yo\u011fu\u015fmas\u0131z (\u00e7al\u0131\u015fma)<\/td><\/tr>\n          <tr><td>Garanti<\/td><td>3 y\u0131l i\u015f\u00e7ilik \u00b7 1 y\u0131l par\u00e7a \u00b7 ilk y\u0131l overnight de\u011fi\u015fim<\/td><\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <h3 style=\"font-size:17px;font-weight:700;color:#003A70;margin:24px 0 12px;\">Desteklenen GPU Fabric & Depolama Opsiyonlar\u0131<\/h3>\n    <div class=\"smc-proto-grid\">\n      <div class=\"smc-proto-card\">\n        <div class=\"smc-proto-head gpu\">&#127918; NVIDIA HGX B200 Fabric<\/div>\n        <ul class=\"smc-proto-list\">\n          <li>8\u00d7 Blackwell SXM<\/li><li>180GB HBM3e \/ GPU<\/li>\n          <li>1.44TB HBM3e toplam<\/li><li>NVLink 5 \u00b7 1.8TB\/s<\/li>\n          <li>NVSwitch all-to-all<\/li><li>FP4 \/ FP8 \/ BF16<\/li>\n          <li>Transformer Engine 2<\/li>\n        <\/ul>\n      <\/div>\n      <div class=\"smc-proto-card\">\n        <div class=\"smc-proto-head stg\">&#128451; Depolama & Boot<\/div>\n        <ul class=\"smc-proto-list\">\n          <li>8\u00d7 E1.S NVMe Gen5<\/li><li>2\u00d7 M.2 NVMe Gen5<\/li>\n          <li>Hot-Swap<\/li><li>Lustre \/ GPFS ready<\/li>\n          <li>NFSv4 \/ RDMA<\/li>\n        <\/ul>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"smc-sec\">\n    <h2 class=\"smc-sec-title\">Kullan\u0131m Alanlar\u0131<\/h2>\n    <div class=\"smc-use-grid\">\n      <div class=\"smc-use-card\"><div class=\"smc-use-tag\">LLM Training<\/div><h3>Geni\u015f \u00d6l\u00e7ekli LLM Pre-Training<\/h3><p>1.44TB HBM3e ve NVLink 1.8TB\/s ile 100B+ parametreli foundation model pre-training ve fine-tuning. FP4\/FP8 Transformer Engine ile verimli scaling.<\/p><\/div>\n      <div class=\"smc-use-card\"><div class=\"smc-use-tag\">Generative AI<\/div><h3>Generative AI & Multi-Modal<\/h3><p>Stable Diffusion, Sora \u00f6l\u00e7ekli video \u00fcretimi, multi-modal (vision + language) model e\u011fitimi ve \u00fcretim \u00e7\u0131kar\u0131m\u0131 (production inference).<\/p><\/div>\n      <div class=\"smc-use-card\"><div class=\"smc-use-tag\">HPC<\/div><h3>HPC & Bilimsel Hesaplama<\/h3><p>CFD, molek\u00fcler dinamik, iklim modellemesi, kuantum kimya sim\u00fclasyonlar\u0131. TF32\/FP64 performans\u0131 ile CUDA-X HPC k\u00fct\u00fcphaneleri.<\/p><\/div>\n      <div class=\"smc-use-card\"><div class=\"smc-use-tag\">Drug Discovery<\/div><h3>\u0130la\u00e7 Ke\u015ffi & Biyoinformatik<\/h3><p>AlphaFold protein folding, molecule docking, NVIDIA BioNeMo ile generative drug design, genomik sequencing pipeline h\u0131zland\u0131rma.<\/p><\/div>\n      <div class=\"smc-use-card\"><div class=\"smc-use-tag\">Otonom Ara\u00e7<\/div><h3>Otonom Ara\u00e7 AI & Robotics<\/h3><p>Autonomous driving model training, NVIDIA DRIVE, Isaac robotics sim\u00fclasyon ve digital twin. Multi-camera + LiDAR fusion inference.<\/p><\/div>\n      <div class=\"smc-use-card\"><div class=\"smc-use-tag\">Finans<\/div><h3>Finans, Fraud & BI Analitik<\/h3><p>Finansal risk modelleme, algo trading, real-time fraud detection, Monte Carlo sim\u00fclasyon ve b\u00fcy\u00fck \u00f6l\u00e7ek BI\/analitik i\u015f y\u00fckleri.<\/p><\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"smc-sec\">\n    <h2 class=\"smc-sec-title\">Uyumlu Bile\u015fenler<\/h2>\n    <p style=\"font-size:14px;color:#5A6478;margin-bottom:14px;\">SYS-822GS-NBRT, NVIDIA AI Enterprise ve Supermicro AI factory referans tasar\u0131mlar\u0131 ile do\u011frulanm\u0131\u015ft\u0131r:<\/p>\n    <div class=\"smc-compat\">\n      <div class=\"smc-compat-item\">NVIDIA HGX B200 8-GPU Baseboard<\/div>\n      <div class=\"smc-compat-item\">NVIDIA ConnectX-7 NIC (NDR 400GbE)<\/div>\n      <div class=\"smc-compat-item\">NVIDIA ConnectX-8 SuperNIC (XDR 800GbE)<\/div>\n      <div class=\"smc-compat-item\">NVIDIA BlueField-3 DPU<\/div>\n      <div class=\"smc-compat-item\">NVIDIA Quantum-2 \/ Quantum-X800 InfiniBand<\/div>\n      <div class=\"smc-compat-item\">NVIDIA Spectrum-X Ethernet Fabric<\/div>\n      <div class=\"smc-compat-item\">NVIDIA AI Enterprise Suite<\/div>\n      <div class=\"smc-compat-item\">NVIDIA NIM Microservices<\/div>\n      <div class=\"smc-compat-item\">NVIDIA NeMo Framework<\/div>\n      <div class=\"smc-compat-item\">Intel Xeon 6700 \/ 6500 P-core SKU'lar\u0131<\/div>\n      <div class=\"smc-compat-item\">Ubuntu 24.04 LTS \u00b7 RHEL 9.x<\/div>\n      <div class=\"smc-compat-item\">Kubernetes \u00b7 Slurm \u00b7 Run:ai<\/div>\n    <\/div>\n    <p style=\"font-size:12px;color:#5A6478;margin-top:10px;\">* AI fabric topoloji tasar\u0131m\u0131 ve SuperPOD referans mimari entegrasyonu i\u00e7in GTM Teknoloji m\u00fchendislik ekibiyle ileti\u015fime ge\u00e7iniz.<\/p>\n  <\/div>\n\n  <div class=\"smc-sec\">\n    <div class=\"smc-why\">\n      <div class=\"smc-why-intro\">\n        <h2>Neden GTM Teknoloji?<\/h2>\n        <p>GTM Teknoloji, 2009'dan bu yana Supermicro T\u00fcrkiye resmi distrib\u00fct\u00f6r\u00fc ve NVIDIA Partner Network (NPN) \u00fcyesi olarak HGX tabanl\u0131 AI factory projelerinin kurumsal tedarik, tasar\u0131m ve entegrasyonunda deneyimli bir \u00e7\u00f6z\u00fcm orta\u011f\u0131d\u0131r. SYS-822GS-NBRT dahil HGX B200 portf\u00f6y\u00fc i\u00e7in resmi kanal tedariki (USD fiyatlama), NVIDIA Quantum-2 \/ Quantum-X800 IB fabric tasar\u0131m\u0131, rack g\u00fc\u00e7\/so\u011futma planlamas\u0131, sahada kurulum, NVIDIA AI Enterprise lisans entegrasyonu, yedek par\u00e7a ve 7\/24 teknik destek hizmetleri tek noktadan sa\u011flan\u0131r.<\/p>\n      <\/div>\n      <div class=\"smc-why-item\"><div class=\"smc-why-icon\">\ud83c\udfc6<\/div><div><h4>Supermicro + NVIDIA Partner<\/h4><p>2009'dan beri Supermicro T\u00fcrkiye kanal\u0131 \u00b7 NVIDIA NPN \u00fcyesi \u00b7 Proxmox Silver Partner. HGX B200\/B300, H200 NVL, L40S portf\u00f6y\u00fcnde tecr\u00fcbe.<\/p><\/div><\/div>\n      <div class=\"smc-why-item\"><div class=\"smc-why-icon\">\u26a1<\/div><div><h4>AI Factory Tasar\u0131m\u0131<\/h4><p>SuperPOD \u00f6l\u00e7e\u011finde IB fabric, Quantum-X800 topoloji, rack g\u00fc\u00e7 (208-240V \/ 60A PDU), hot-aisle\/cold-aisle, s\u0131v\u0131 so\u011futma planlamas\u0131.<\/p><\/div><\/div>\n      <div class=\"smc-why-item\"><div class=\"smc-why-icon\">\ud83d\udd27<\/div><div><h4>Proje Bazl\u0131 Entegrasyon<\/h4><p>NVIDIA AI Enterprise, NeMo, NIM entegrasyonu \u00b7 K8s\/Slurm kurulumu \u00b7 7\/24 SLA destek \u00b7 yerinde overnight par\u00e7a de\u011fi\u015fimi.<\/p><\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"smc-sec\">\n    <h2 class=\"smc-sec-title\">S\u0131k\u00e7a Sorulan Sorular<\/h2>\n    <div class=\"smc-snip\" style=\"margin-bottom:18px;\">\n      <div class=\"smc-snip-lbl\">&#127358; Featured Snippet<\/div>\n      <strong>Supermicro SYS-822GS-NBRT ne yapar?<\/strong> 8U form fakt\u00f6rde NVIDIA HGX B200 8-GPU (1.44TB HBM3e \u00b7 180GB\/GPU \u00b7 NVLink 1.8TB\/s) baseboard, \u00e7ift Intel Xeon 6700 P-core i\u015flemci, 8TB DDR5 bellek, 10 \u00d7 PCIe 5.0 x16 slot (ConnectX-7\/8 SuperNIC haz\u0131r) ve 6 \u00d7 6600W Titanium PSU ile trilyon parametreli LLM training, generative AI, HPC sim\u00fclasyonu ve AI inference i\u015f y\u00fcklerini enterprise s\u0131n\u0131fta \u00e7al\u0131\u015ft\u0131r\u0131r.\n    <\/div>\n    <div>\n      <div class=\"smc-faq-item\"><div class=\"smc-faq-q\" onclick=\"smc822nbrtFAQ(this)\">Supermicro SYS-822GS-NBRT hangi i\u015f y\u00fckleri i\u00e7in tasarlanm\u0131\u015ft\u0131r?<span class=\"smc-arr\">&#8964;<\/span><\/div><div class=\"smc-faq-a\">SYS-822GS-NBRT, NVIDIA HGX B200 8-GPU platformu ile b\u00fcy\u00fck dil modeli (LLM) ve generative AI e\u011fitimi, derin \u00f6\u011frenme inference, HPC, ila\u00e7 ke\u015ffi, otonom ara\u00e7 AI, bilimsel hesaplama, finansal doland\u0131r\u0131c\u0131l\u0131k tespiti ve konu\u015fma AI gibi en y\u00fcksek yo\u011funluklu AI\/HPC i\u015f y\u00fckleri i\u00e7in tasarlanm\u0131\u015ft\u0131r. 1.44TB HBM3e bellek ve 1.8TB\/s 5. Nesil NVLink ile trilyon parametreli modelleri e\u011fitmek i\u00e7in optimize edilmi\u015ftir.<\/div><\/div>\n      <div class=\"smc-faq-item\"><div class=\"smc-faq-q\" onclick=\"smc822nbrtFAQ(this)\">NVIDIA HGX B200 8-GPU ne sunar?<span class=\"smc-arr\">&#8964;<\/span><\/div><div class=\"smc-faq-a\">NVIDIA HGX B200, Blackwell mimarisi SXM formunda 8 GPU'lu baseboard \u00fczerinde GPU ba\u015f\u0131na 180GB HBM3e bellek ve toplamda 1.44TB HBM3e sunar. 5. Nesil NVLink ve NVSwitch ile GPU-GPU aras\u0131 1.8TB\/s all-to-all bant geni\u015fli\u011fi sa\u011flan\u0131r. Transformer Engine 2 ve FP4\/FP8\/BF16 hassasiyeti ile trilyon parametreli LLM training ve real-time inference'da \u00f6nceki H100\/H200 nesiline g\u00f6re \u00f6nemli performans s\u0131\u00e7ramas\u0131 sunar.<\/div><\/div>\n      <div class=\"smc-faq-item\"><div class=\"smc-faq-q\" onclick=\"smc822nbrtFAQ(this)\">Intel Xeon 6700 P-core serisi ne avantaj sa\u011flar?<span class=\"smc-arr\">&#8964;<\/span><\/div><div class=\"smc-faq-a\">Intel Xeon 6700 P-core serisi (Granite Rapids-AP) Socket E2 (LGA-4710), CPU ba\u015f\u0131na 86 \u00e7ekirdek \/ 172 i\u015f par\u00e7ac\u0131\u011f\u0131 ve 350W TDP'ye kadar destek sunar. SYS-822GS-NBRT \u00e7ift soket yap\u0131land\u0131rmada toplam 172C\/344T, 672MB L3 cache, 12 kanal DDR5-6400 ve PCIe 5.0 ile HGX B200 GPU fabric'ine y\u00fcksek bant geni\u015flikli CPU-GPU veri ak\u0131\u015f\u0131 sa\u011flar. AMX ve AVX-512 komutlar\u0131 ile preprocessing ve data pipeline h\u0131zland\u0131r\u0131l\u0131r.<\/div><\/div>\n      <div class=\"smc-faq-item\"><div class=\"smc-faq-q\" onclick=\"smc822nbrtFAQ(this)\">SYS-822GS-NBRT'de a\u011f yap\u0131s\u0131 ve GPU fabric geni\u015flemesi nas\u0131ld\u0131r?<span class=\"smc-arr\">&#8964;<\/span><\/div><div class=\"smc-faq-a\">Anakart \u00fczerinde standart 2 \u00d7 RJ45 10GbE (Intel X710) management\/storage LAN ve 1 \u00d7 dedicated BMC 1GbE port mevcuttur. Ek olarak 8 \u00d7 PCIe 5.0 x16 LP slot NVIDIA ConnectX-7 \/ ConnectX-8 SuperNIC (OSFP 400\/800GbE \u00b7 IB NDR\/XDR veya Ethernet) ile AI fabric i\u00e7in GPU ba\u015f\u0131na dedicated NIC yerle\u015ftirmeye imk\u00e2n tan\u0131r. NVIDIA Quantum-2 \/ Quantum-X800 InfiniBand veya Spectrum-X Ethernet fabric \u00fczerinde \u00e7oklu d\u00fc\u011f\u00fcml\u00fc SuperPOD \u00f6l\u00e7e\u011finde training i\u00e7in optimize.<\/div><\/div>\n      <div class=\"smc-faq-item\"><div class=\"smc-faq-q\" onclick=\"smc822nbrtFAQ(this)\">Depolama ve PCIe geni\u015fleme ne sunar?<span class=\"smc-arr\">&#8964;<\/span><\/div><div class=\"smc-faq-a\">\u00d6n panelde 8 \u00d7 hot-swap E1.S NVMe s\u00fcr\u00fcc\u00fc yuvas\u0131 (PCIe 5.0 x4) ve anakart \u00fczerinde 2 \u00d7 M.2 NVMe (2280\/22110 \u00b7 PCIe 5.0 x4) boot\/dataset cache i\u00e7in bulunur. Ayr\u0131ca 8 \u00d7 PCIe 5.0 x16 LP + 2 \u00d7 PCIe 5.0 x16 FHHL slot DPU, BlueField-3, SuperNIC veya \u00f6zel h\u0131zland\u0131r\u0131c\u0131 i\u00e7in kullan\u0131labilir. Veri setlerinin GPU'lara h\u0131zl\u0131 besleme i\u00e7in y\u00fcksek IOPS ve bant geni\u015fli\u011fi sa\u011flar.<\/div><\/div>\n      <div class=\"smc-faq-item\"><div class=\"smc-faq-q\" onclick=\"smc822nbrtFAQ(this)\">SYS-822GS-NBRT vs SYS-822GS-NB3RT fark\u0131 nedir?<span class=\"smc-arr\">&#8964;<\/span><\/div><div class=\"smc-faq-a\">SYS-822GS-NBRT, NVIDIA HGX B200 (Blackwell) ile 1.44TB HBM3e (180GB\/GPU) ta\u015f\u0131r; SYS-822GS-NB3RT ise yeni nesil HGX B300 (Blackwell Ultra) ile 2.3TB HBM3e (288GB\/GPU) sunar. Her iki sistem ayn\u0131 8U \u015fasi ve Intel Xeon 6700 P-core CPU platformunu payla\u015f\u0131r. B300 modeli daha b\u00fcy\u00fck HBM3e kapasitesi ve geli\u015ftirilmi\u015f Transformer Engine ile trilyon parametreli frontier modeller i\u00e7in se\u00e7ilirken, B200 maliyet-performans optimizasyonu ile geni\u015f \u00f6l\u00e7ekli \u00fcretim inference ve research i\u015f y\u00fckleri i\u00e7in tercih edilir.<\/div><\/div>\n      <div class=\"smc-faq-item\"><div class=\"smc-faq-q\" onclick=\"smc822nbrtFAQ(this)\">G\u00fc\u00e7, so\u011futma ve fiziksel gereksinimler nedir?<span class=\"smc-arr\">&#8964;<\/span><\/div><div class=\"smc-faq-a\">Sistem 6 \u00d7 6600W Titanium seviyesi (%96 verim) g\u00fc\u00e7 kayna\u011f\u0131 3+3 yedekli yap\u0131da sunar; 230V giri\u015fte maksimum 6500W\/PSU, toplam ~19.5kW \u00e7\u0131k\u0131\u015f. 12 adet heavy-duty PWM fan ile hava so\u011futmal\u0131 tasar\u0131m, 10\u00b0C-35\u00b0C aras\u0131 \u00e7al\u0131\u015fma s\u0131cakl\u0131\u011f\u0131. Boyutlar 8U y\u00fcksekli\u011finde 356 \u00d7 449 \u00d7 950 mm, net a\u011f\u0131rl\u0131k 133 kg. Y\u00fcksek g\u00fc\u00e7 rack'\u0131 (208-240V \u00b7 60A PDU \u00f6nerilir) ve so\u011futma altyap\u0131s\u0131 zorunludur.<\/div><\/div>\n      <div class=\"smc-faq-item\"><div class=\"smc-faq-q\" onclick=\"smc822nbrtFAQ(this)\">T\u00fcrkiye'de Supermicro SYS-822GS-NBRT nereden al\u0131n\u0131r?<span class=\"smc-arr\">&#8964;<\/span><\/div><div class=\"smc-faq-a\">GTM Teknoloji, 2009'dan bu yana Supermicro'nun T\u00fcrkiye resmi distrib\u00fct\u00f6r\u00fc ve NVIDIA Partner Network (NPN) \u00fcyesidir. SYS-822GS-NBRT i\u00e7in kurumsal fiyat teklifi (USD), CPU\/bellek konfig\u00fcrasyonu, NVIDIA ConnectX-7\/8 SuperNIC se\u00e7imi, Quantum \/ Quantum-X800 InfiniBand fabric tasar\u0131m\u0131, rack g\u00fc\u00e7\/so\u011futma planlamas\u0131, sahada kurulum, NVIDIA AI Enterprise lisans entegrasyonu ve 7\/24 teknik destek gtmteknoloji.com\/b2b \u00fczerinden sa\u011flan\u0131r. Proje bazl\u0131 SuperPOD \u00f6l\u00e7e\u011finde AI factory da\u011f\u0131t\u0131m\u0131 i\u00e7in sat\u0131\u015f ve m\u00fchendislik ekibimizle ileti\u015fime ge\u00e7ebilirsiniz.<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"smc-sec\">\n    <h2 class=\"smc-sec-title\">\u0130lgili \u00dcr\u00fcnler<\/h2>\n    <div class=\"smc-rel-grid\">\n      <a href=\"https:\/\/gtmteknoloji.com\/b2b\/supermicro-sys-822gs-nb3rt\" class=\"smc-rel-card\"><div class=\"smc-rel-icon\">\ud83d\ude80<\/div><h3>Supermicro SYS-822GS-NB3RT<\/h3><p>8U HGX B300 Blackwell Ultra \u00b7 2.3TB HBM3e \u00b7 Gold Series<\/p><\/a>\n      <a href=\"https:\/\/gtmteknoloji.com\/b2b\/nvidia-hgx-b200\" class=\"smc-rel-card\"><div class=\"smc-rel-icon\">\ud83c\udfae<\/div><h3>NVIDIA HGX B200<\/h3><p>Blackwell 8-GPU baseboard \u2014 1.44TB HBM3e \u00b7 NVLink 5<\/p><\/a>\n      <a href=\"https:\/\/gtmteknoloji.com\/b2b\/nvidia-connectx-8-supernic\" class=\"smc-rel-card\"><div class=\"smc-rel-icon\">\ud83d\udd00<\/div><h3>NVIDIA ConnectX-8 SuperNIC<\/h3><p>800GbE OSFP \u00b7 IB XDR \u00b7 AI fabric i\u00e7in dedicated NIC<\/p><\/a>\n      <a href=\"https:\/\/gtmteknoloji.com\/b2b\/nvidia-ai-enterprise\" class=\"smc-rel-card\"><div class=\"smc-rel-icon\">\ud83e\udde0<\/div><h3>NVIDIA AI Enterprise<\/h3><p>NIM, NeMo, CUDA-X \u2014 \u00fcretim s\u0131n\u0131f\u0131 AI yaz\u0131l\u0131m y\u0131\u011f\u0131n\u0131<\/p><\/a>\n    <\/div>\n  <\/div>\n\n  <div class=\"smc-cta-banner\">\n    <h2>Supermicro SYS-822GS-NBRT i\u00e7in Fiyat Teklifi Al\u0131n (USD)<\/h2>\n    <p>GTM Teknoloji sat\u0131\u015f ve AI m\u00fchendislik ekibi; HGX B200 konfig\u00fcrasyonu, ConnectX-7\/8 SuperNIC se\u00e7imi, SuperPOD fabric tasar\u0131m\u0131 ve resmi distrib\u00fct\u00f6r fiyat teklifi i\u00e7in haz\u0131r.<\/p>\n    <div class=\"smc-cta-btns\">\n      <a href=\"https:\/\/gtmteknoloji.com\/b2b\/iletisim\/#:~:text=YOUTUBE-,MESAJ%20G%C3%96NDER%C4%B0N,-HIZLI%20%C4%B0LET%C4%B0%C5%9E%C4%B0M%20FORMU\" class=\"smc-btn-white\">&#128231; Teklif \u0130ste<\/a>\n      <a href=\"https:\/\/gtmteknoloji.com\/b2b\/iletisim\/#:~:text=YOUTUBE-,MESAJ%20G%C3%96NDER%C4%B0N,-HIZLI%20%C4%B0LET%C4%B0%C5%9E%C4%B0M%20FORMU\" class=\"smc-btn-ow\">&#128295; Teknik Destek \u0130ste<\/a>\n    <\/div>\n  <\/div>\n\n<\/div>\n\n<script>\nfunction smc822nbrtFAQ(el) {\n  var item = el.parentElement;\n  item.classList.toggle('smc-open');\n}\n<\/script>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Supermicro&#8217;nun <b>NVIDIA HGX B200 8-GPU<\/b> mimarisine sahip bu 8U sunucusu, <b>Yapay Zeka<\/b> (AI), <b>B\u00fcy\u00fck Dil Modeli<\/b> (LLM) geli\u015ftirme ve <b>Derin \u00d6\u011frenme E\u011fitimi<\/b> i\u00e7in tasarlanm\u0131\u015f en \u00fcst d\u00fczey HPC \u00e7\u00f6z\u00fcm\u00fcd\u00fcr. Y\u00fcksek yo\u011funluklu PCIe 5.0 ve <b>Titanium Seviye<\/b> g\u00fc\u00e7 verimlili\u011fi ile veri merkezinizin performans\u0131n\u0131 ve \u00f6l\u00e7eklenebilirli\u011fini zirveye ta\u015f\u0131y\u0131n.<\/p>\n","protected":false},"featured_media":12517,"template":"","meta":[],"product_brand":[342,338],"product_cat":[1813,3188,1814],"product_tag":[3190,3191,3192,3199,3198,3200,2877],"class_list":{"0":"post-10760","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_brand-nvidia-npn-partner-gtmteknoloji","7":"product_brand-supermicro-server-turkiye","8":"product_cat-gpu-server","9":"product_cat-nvidia-dgx-hgx-server","10":"product_cat-supermicro-gpu","11":"product_tag-8u-gpu-sunucu","12":"product_tag-derin-ogrenme-egitimi","13":"product_tag-hpc-cozumu","14":"product_tag-nvidia-dgx-b200","15":"product_tag-nvidia-hgx-b200","16":"product_tag-supermicro-gpu-server","17":"product_tag-yapay-zeka-sunucusu","18":"pa_marka-nvidia","19":"pa_marka-supermicro","21":"first","22":"instock","23":"taxable","24":"shipping-taxable","25":"product-type-external"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Supermicro HGX B200 8-GPU Server | SYS-822GS-NBRT 8U - GTM Teknoloji<\/title>\n<meta name=\"description\" content=\"NVIDIA HGX B200 8-GPU destekli Supermicro SYS-822GS-NBRT 8U sunucusu ile AI, Derin \u00d6\u011frenme ve HPC&#039;de performans\u0131 yakalay\u0131n. 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