{"id":957,"date":"2026-06-09T10:32:04","date_gmt":"2026-06-09T01:32:04","guid":{"rendered":"http:\/\/kyunam.com\/?p=957"},"modified":"2026-06-09T14:08:10","modified_gmt":"2026-06-09T05:08:10","slug":"aidc%ec%9d%b8%ea%b0%80-ai-token-factory-%ec%9d%b8%ea%b0%80","status":"publish","type":"post","link":"http:\/\/kyunam.com\/?p=957","title":{"rendered":"AIDC\uc778\uac00? AI Token Factory \uc778\uac00?"},"content":{"rendered":"\n<meta charset=\"UTF-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n<title>Classical IDC\uc5d0\uc11c AIDC\ub85c \u2014 16-Layer \ud328\ub7ec\ub2e4\uc784 \uc804\ud658<\/title>\n<meta name=\"description\" content=\"L0(\ubd80\uc9c0)\ubd80\ud130 L15(\uc11c\ube44\uc2a4)\uae4c\uc9c0 16\uac1c \ub808\uc774\uc5b4\uac00 \ub3d9\uc2dc\uc5d0 \uc7ac\uc815\uc758\ub41c \ub370\uc774\ud130\uc13c\ud130 \ud328\ub7ec\ub2e4\uc784 \uc804\ud658\uc758 \uc885\ud569 \ubd84\uc11d.\">\n<style>\n  \/* ============================================\n     DESIGN TOKENS \u2014 Engineering Magazine + Blueprint\n     ============================================ *\/\n  :root {\n    --paper:        #faf8f3;\n    --paper-card:   #f1ede3;\n    --paper-deep:   #ebe6d8;\n    --ink:          #14181f;\n    --ink-strong:   #000000;\n    --ink-muted:    #5a6473;\n    --ink-faint:    #8b94a3;\n    --rule:         #d8d2c2;\n    --rule-strong:  #2a3140;\n    --amber:        #b45309;\n    --amber-deep:   #7c2d12;\n    --amber-soft:   #fef3c7;\n    --steel:        #1e293b;\n    --copper:       #c2410c;\n\n    --font-display: ui-sans-serif, system-ui, -apple-system, 'Segoe UI', 'Helvetica Neue', sans-serif;\n    --font-body:    ui-serif, Georgia, 'Source Serif Pro', 'Noto Serif KR', serif;\n    --font-mono:    'JetBrains Mono', 'IBM Plex Mono', 'SF Mono', Menlo, Consolas, monospace;\n  }\n\n  * { box-sizing: border-box; margin: 0; padding: 0; }\n\n  html { scroll-behavior: smooth; }\n\n  body {\n    background: var(--paper);\n    color: var(--ink);\n    font-family: var(--font-body);\n    font-size: 17px;\n    line-height: 1.65;\n    -webkit-font-smoothing: antialiased;\n    text-rendering: optimizeLegibility;\n  }\n\n  \/* ============================================\n     LAYOUT\n     ============================================ *\/\n  .wrap {\n    max-width: 880px;\n    margin: 0 auto;\n    padding: 0 28px;\n  }\n  .wrap-wide {\n    max-width: 1120px;\n    margin: 0 auto;\n    padding: 0 28px;\n  }\n\n  \/* ============================================\n     MASTHEAD\n     ============================================ *\/\n  .masthead {\n    border-top: 8px solid var(--ink-strong);\n    padding: 28px 0 18px;\n  }\n  .masthead-inner {\n    display: flex;\n    justify-content: space-between;\n    align-items: baseline;\n    gap: 24px;\n    font-family: var(--font-mono);\n    font-size: 11px;\n    letter-spacing: 0.08em;\n    text-transform: uppercase;\n    color: var(--ink-muted);\n  }\n  .masthead-brand {\n    font-family: var(--font-display);\n    font-weight: 800;\n    font-size: 14px;\n    color: var(--ink-strong);\n    letter-spacing: -0.01em;\n    text-transform: none;\n  }\n  .masthead-brand span { color: var(--amber); }\n  .masthead-meta { display: flex; gap: 18px; }\n\n  \/* ============================================\n     HERO\n     ============================================ *\/\n  .hero {\n    padding: 80px 0 64px;\n    border-bottom: 1px solid var(--rule);\n  }\n  .hero-kicker {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    letter-spacing: 0.14em;\n    text-transform: uppercase;\n    color: var(--amber-deep);\n    margin-bottom: 28px;\n    display: inline-block;\n    border-left: 3px solid var(--amber);\n    padding-left: 12px;\n  }\n  .hero h1 {\n    font-family: var(--font-display);\n    font-size: clamp(36px, 6vw, 64px);\n    line-height: 1.05;\n    letter-spacing: -0.025em;\n    font-weight: 800;\n    color: var(--ink-strong);\n    margin-bottom: 32px;\n  }\n  .hero h1 .arrow {\n    color: var(--amber);\n    font-weight: 600;\n    display: inline-block;\n    transform: translateY(-3px);\n    margin: 0 8px;\n  }\n  .hero h1 .delta {\n    color: var(--amber);\n    font-style: italic;\n    font-family: var(--font-body);\n    font-weight: 700;\n  }\n  .hero-deck {\n    font-size: 20px;\n    line-height: 1.55;\n    color: var(--ink-muted);\n    max-width: 720px;\n    margin-bottom: 40px;\n  }\n  .hero-deck strong { color: var(--ink); font-weight: 600; }\n\n  .hero-byline {\n    display: flex;\n    flex-wrap: wrap;\n    gap: 16px 32px;\n    font-family: var(--font-mono);\n    font-size: 12px;\n    color: var(--ink-muted);\n    padding-top: 24px;\n    border-top: 1px solid var(--rule);\n  }\n  .hero-byline span { display: flex; gap: 8px; }\n  .hero-byline strong {\n    color: var(--ink-strong);\n    font-weight: 700;\n  }\n\n  \/* ============================================\n     TL;DR \u2014 manifesto block\n     ============================================ *\/\n  .manifesto {\n    background: var(--ink-strong);\n    color: var(--paper);\n    padding: 56px 0;\n    margin: 64px 0;\n  }\n  .manifesto-label {\n    font-family: var(--font-mono);\n    font-size: 11px;\n    letter-spacing: 0.16em;\n    text-transform: uppercase;\n    color: var(--amber);\n    margin-bottom: 24px;\n  }\n  .manifesto-quote {\n    font-family: var(--font-display);\n    font-size: clamp(24px, 3.6vw, 36px);\n    line-height: 1.3;\n    font-weight: 700;\n    letter-spacing: -0.015em;\n    color: var(--paper);\n  }\n  .manifesto-quote em {\n    color: var(--amber);\n    font-style: normal;\n    font-weight: 800;\n  }\n  .manifesto-attr {\n    margin-top: 24px;\n    font-family: var(--font-mono);\n    font-size: 12px;\n    color: var(--ink-faint);\n    letter-spacing: 0.04em;\n  }\n\n  \/* ============================================\n     STACK DIAGRAM \u2014 Signature element\n     ============================================ *\/\n  .stack-section {\n    padding: 64px 0;\n    background: var(--paper-card);\n    border-top: 1px solid var(--rule);\n    border-bottom: 1px solid var(--rule);\n  }\n  .stack-title {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    letter-spacing: 0.14em;\n    text-transform: uppercase;\n    color: var(--ink-muted);\n    margin-bottom: 8px;\n  }\n  .stack-h {\n    font-family: var(--font-display);\n    font-size: 32px;\n    font-weight: 800;\n    letter-spacing: -0.02em;\n    color: var(--ink-strong);\n    margin-bottom: 40px;\n  }\n\n  .stack-grid {\n    display: grid;\n    grid-template-columns: repeat(4, 1fr);\n    gap: 1px;\n    background: var(--rule);\n    border: 1px solid var(--rule);\n  }\n  .stack-cell {\n    background: var(--paper);\n    padding: 18px 16px;\n    min-height: 92px;\n    position: relative;\n    display: flex;\n    flex-direction: column;\n    justify-content: space-between;\n  }\n  .stack-cell .id {\n    font-family: var(--font-mono);\n    font-size: 11px;\n    font-weight: 700;\n    color: var(--amber);\n    letter-spacing: 0.04em;\n  }\n  .stack-cell .name {\n    font-family: var(--font-display);\n    font-size: 14px;\n    font-weight: 700;\n    color: var(--ink-strong);\n    margin-top: 6px;\n    line-height: 1.25;\n  }\n  .stack-cell .desc {\n    font-family: var(--font-body);\n    font-size: 12px;\n    color: var(--ink-muted);\n    margin-top: 6px;\n    line-height: 1.35;\n  }\n\n  \/* color bands for layer groups *\/\n  .stack-cell.l-facility .id { color: var(--copper); }\n  .stack-cell.l-compute .id { color: var(--amber); }\n  .stack-cell.l-platform .id { color: var(--steel); }\n  .stack-cell.l-ops .id { color: #4338ca; }\n  .stack-cell.l-business .id { color: #166534; }\n\n  \/* ============================================\n     SECTION \u2014 main long-form\n     ============================================ *\/\n  .section {\n    padding: 72px 0;\n    border-bottom: 1px solid var(--rule);\n  }\n  .section:last-of-type { border-bottom: none; }\n\n  .section-num {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    letter-spacing: 0.14em;\n    color: var(--amber);\n    margin-bottom: 12px;\n    display: block;\n  }\n  .section h2 {\n    font-family: var(--font-display);\n    font-size: clamp(28px, 4vw, 40px);\n    line-height: 1.15;\n    letter-spacing: -0.02em;\n    font-weight: 800;\n    color: var(--ink-strong);\n    margin-bottom: 12px;\n  }\n  .section h2 .em {\n    color: var(--amber);\n    font-style: italic;\n    font-family: var(--font-body);\n    font-weight: 700;\n  }\n  .section-lead {\n    font-size: 18px;\n    color: var(--ink-muted);\n    margin-bottom: 36px;\n    max-width: 700px;\n    line-height: 1.55;\n  }\n\n  \/* keyword chip rail *\/\n  .keywords {\n    padding: 20px 22px;\n    background: var(--paper-card);\n    border-left: 3px solid var(--amber);\n    margin: 32px 0 32px;\n    font-family: var(--font-mono);\n    font-size: 12px;\n    line-height: 1.7;\n    color: var(--ink);\n  }\n  .keywords-label {\n    display: block;\n    font-weight: 700;\n    color: var(--amber-deep);\n    letter-spacing: 0.06em;\n    margin-bottom: 8px;\n    font-size: 11px;\n    text-transform: uppercase;\n  }\n  .keywords code {\n    font-family: var(--font-mono);\n    font-weight: 600;\n    color: var(--ink-strong);\n  }\n\n  .section p {\n    margin-bottom: 20px;\n    font-size: 17px;\n  }\n  .section p strong {\n    font-weight: 700;\n    color: var(--ink-strong);\n  }\n  .section p em {\n    font-style: italic;\n    color: var(--ink);\n  }\n\n  h3.sub {\n    font-family: var(--font-display);\n    font-size: 22px;\n    font-weight: 700;\n    letter-spacing: -0.01em;\n    color: var(--ink-strong);\n    margin: 36px 0 16px;\n  }\n\n  \/* ============================================\n     PULL QUOTE \/ KEY STAT\n     ============================================ *\/\n  .pull {\n    margin: 36px 0;\n    padding: 28px 32px;\n    background: var(--paper);\n    border-top: 4px solid var(--amber);\n    border-bottom: 1px solid var(--rule);\n  }\n  .pull-stat {\n    font-family: var(--font-display);\n    font-size: clamp(28px, 4vw, 40px);\n    font-weight: 800;\n    letter-spacing: -0.015em;\n    color: var(--ink-strong);\n    line-height: 1.1;\n    margin-bottom: 8px;\n  }\n  .pull-stat .unit {\n    color: var(--amber);\n    font-weight: 600;\n  }\n  .pull-label {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    color: var(--ink-muted);\n    letter-spacing: 0.04em;\n    text-transform: uppercase;\n  }\n\n  \/* stat grid *\/\n  .stat-grid {\n    display: grid;\n    grid-template-columns: repeat(auto-fit, minmax(170px, 1fr));\n    gap: 1px;\n    background: var(--rule);\n    border: 1px solid var(--rule);\n    margin: 32px 0;\n  }\n  .stat-card {\n    background: var(--paper);\n    padding: 22px 20px;\n  }\n  .stat-card .num {\n    font-family: var(--font-display);\n    font-size: 30px;\n    font-weight: 800;\n    color: var(--ink-strong);\n    letter-spacing: -0.02em;\n    line-height: 1;\n  }\n  .stat-card .num .small {\n    font-size: 16px;\n    color: var(--amber);\n    margin-left: 4px;\n    font-weight: 700;\n  }\n  .stat-card .label {\n    font-family: var(--font-mono);\n    font-size: 11px;\n    color: var(--ink-muted);\n    text-transform: uppercase;\n    letter-spacing: 0.05em;\n    margin-top: 8px;\n    line-height: 1.4;\n  }\n\n  \/* ============================================\n     TABLES\n     ============================================ *\/\n  .table-wrap {\n    overflow-x: auto;\n    margin: 28px 0;\n    border: 1px solid var(--rule);\n  }\n  table {\n    width: 100%;\n    border-collapse: collapse;\n    font-family: var(--font-display);\n    font-size: 14px;\n    background: var(--paper);\n  }\n  th {\n    background: var(--ink-strong);\n    color: var(--paper);\n    text-align: left;\n    padding: 12px 14px;\n    font-weight: 700;\n    font-size: 12px;\n    letter-spacing: 0.04em;\n    text-transform: uppercase;\n    border-right: 1px solid var(--rule-strong);\n  }\n  th:last-child { border-right: none; }\n  td {\n    padding: 12px 14px;\n    border-bottom: 1px solid var(--rule);\n    border-right: 1px solid var(--rule);\n    vertical-align: top;\n    line-height: 1.5;\n    color: var(--ink);\n  }\n  td:last-child { border-right: none; }\n  tr:last-child td { border-bottom: none; }\n  tr:nth-child(even) td { background: var(--paper-card); }\n  td strong { font-weight: 700; color: var(--ink-strong); }\n  td code, td .mono {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    color: var(--amber-deep);\n    font-weight: 600;\n  }\n\n  \/* ============================================\n     COMPARISON \u2014 two-column blocks\n     ============================================ *\/\n  .compare {\n    display: grid;\n    grid-template-columns: 1fr 1fr;\n    gap: 1px;\n    background: var(--rule);\n    border: 1px solid var(--rule);\n    margin: 28px 0;\n  }\n  .compare-side {\n    background: var(--paper);\n    padding: 24px 22px;\n  }\n  .compare-side.aidc {\n    background: var(--paper-card);\n    border-top: 4px solid var(--amber);\n  }\n  .compare-side.classical {\n    border-top: 4px solid var(--ink-muted);\n  }\n  .compare-side .title {\n    font-family: var(--font-mono);\n    font-size: 11px;\n    letter-spacing: 0.12em;\n    text-transform: uppercase;\n    color: var(--ink-muted);\n    margin-bottom: 16px;\n  }\n  .compare-side.aidc .title { color: var(--amber-deep); }\n  .compare-side ul {\n    list-style: none;\n    padding: 0;\n  }\n  .compare-side ul li {\n    font-family: var(--font-body);\n    font-size: 15px;\n    padding: 8px 0 8px 16px;\n    border-left: 1px solid var(--rule);\n    margin-bottom: 4px;\n    line-height: 1.5;\n  }\n  .compare-side ul li strong {\n    color: var(--ink-strong);\n    font-weight: 700;\n  }\n\n  \/* ============================================\n     CONCLUSION\n     ============================================ *\/\n  .conclusion {\n    background: var(--ink-strong);\n    color: var(--paper);\n    padding: 80px 0;\n  }\n  .conclusion .label {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    letter-spacing: 0.16em;\n    color: var(--amber);\n    margin-bottom: 28px;\n  }\n  .conclusion h2 {\n    font-family: var(--font-display);\n    font-size: clamp(28px, 4vw, 42px);\n    line-height: 1.2;\n    font-weight: 800;\n    letter-spacing: -0.02em;\n    color: var(--paper);\n    margin-bottom: 40px;\n    max-width: 760px;\n  }\n  .conclusion h2 em {\n    color: var(--amber);\n    font-style: italic;\n    font-family: var(--font-body);\n    font-weight: 700;\n  }\n  .conclusion h3 {\n    font-family: var(--font-display);\n    font-size: 20px;\n    font-weight: 700;\n    color: var(--paper);\n    margin: 32px 0 16px;\n    letter-spacing: -0.01em;\n  }\n  .conclusion h3 .n {\n    font-family: var(--font-mono);\n    font-size: 14px;\n    color: var(--amber);\n    margin-right: 12px;\n    font-weight: 600;\n  }\n  .conclusion p {\n    color: #c4c8d0;\n    font-size: 16px;\n    line-height: 1.7;\n    margin-bottom: 14px;\n  }\n  .conclusion p strong { color: var(--paper); font-weight: 700; }\n\n  \/* ============================================\n     APPENDIX\n     ============================================ *\/\n  .appendix {\n    padding: 80px 0;\n    background: var(--paper-card);\n  }\n  .appendix h2 {\n    font-family: var(--font-display);\n    font-size: 28px;\n    font-weight: 800;\n    letter-spacing: -0.02em;\n    color: var(--ink-strong);\n    margin-bottom: 32px;\n  }\n  .layer-index {\n    display: grid;\n    gap: 1px;\n    background: var(--rule);\n    border: 1px solid var(--rule);\n  }\n  .layer-row {\n    background: var(--paper);\n    padding: 18px 22px;\n    display: grid;\n    grid-template-columns: 220px 1fr;\n    gap: 24px;\n  }\n  .layer-row .key {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    color: var(--amber-deep);\n    font-weight: 700;\n    letter-spacing: 0.02em;\n  }\n  .layer-row .key .num {\n    background: var(--ink-strong);\n    color: var(--amber);\n    padding: 2px 8px;\n    margin-right: 8px;\n    border-radius: 2px;\n  }\n  .layer-row .keywords-list {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    color: var(--ink);\n    line-height: 1.7;\n  }\n\n  \/* ============================================\n     FOOTER\n     ============================================ *\/\n  footer.colophon {\n    padding: 48px 0 64px;\n    border-top: 8px solid var(--ink-strong);\n    margin-top: 0;\n  }\n  .colophon-inner {\n    font-family: var(--font-mono);\n    font-size: 12px;\n    color: var(--ink-muted);\n    line-height: 1.7;\n  }\n  .colophon-inner strong { color: var(--ink-strong); font-weight: 700; }\n  .colophon-inner p { margin-bottom: 8px; }\n\n  \/* ============================================\n     RESPONSIVE\n     ============================================ *\/\n  @media (max-width: 720px) {\n    body { font-size: 16px; }\n    .hero { padding: 56px 0 48px; }\n    .section { padding: 48px 0; }\n    .stack-grid { grid-template-columns: repeat(2, 1fr); }\n    .compare { grid-template-columns: 1fr; }\n    .layer-row { grid-template-columns: 1fr; gap: 8px; }\n    .layer-row .key { padding-bottom: 4px; border-bottom: 1px solid var(--rule); }\n    table { font-size: 13px; }\n    th, td { padding: 10px 10px; }\n  }\n\n  @media (prefers-reduced-motion: reduce) {\n    html { scroll-behavior: auto; }\n  }\n<\/style>\n\n\n\n<!-- ============================================\n     MASTHEAD\n     ============================================ -->\n<header class=\"masthead\">\n  <div class=\"wrap-wide\">\n\n  <\/div>\n<\/header>\n\n<!-- ============================================\n     HERO\n     ============================================ -->\n<section class=\"hero\">\n  <div class=\"wrap\">\n    <h1>\n      Uptime\uc744 \uc784\ub300\ud558\ub358 \ubd80\ub3d9\uc0b0\uc774\n      <span class=\"arrow\">\u2192<\/span>\n      <span class=\"delta\">tokens\/watt<\/span>\ub97c \uc0dd\uc0b0\ud558\ub294 \uacf5\uc7a5\uc774 \ub418\uc5c8\ub2e4\n    <\/h1>\n    <p class=\"hero-deck\">\n      Classical IDC\uc640 AIDC\ub294 \uac19\uc740 \ub2e8\uc5b4 \ub450 \uac1c\ub85c \ubb36\uc774\uc9c0\ub9cc, <strong>\uc804\ub825\u00b7\ub0c9\uac01\u00b7\ub124\ud2b8\uc6cc\ud06c\u00b7\uc6b4\uc601 KPI<\/strong>\uac00 \uc0ac\uc2e4\uc0c1 \ub2e4\ub978 \uc6b4\uc601 \uccb4\uacc4\ub2e4 \u2014 \ubb3c\ub860 \ud604\uc2e4\uc5d0\ub294 hyperscaler DC, GPU colo, neocloud, hybrid retrofit \uac19\uc740 \uc911\uac04 \ud615\ud0dc\uac00 \uacf5\uc874\ud55c\ub2e4.\n      \uadf8\ub7fc\uc5d0\ub3c4 \ubd80\uc9c0 \uc120\uc815 \uae30\uc900\uc5d0\uc11c\ubd80\ud130 \uacb0\uc81c \ub2e8\uc704\uae4c\uc9c0 <strong>16\uac1c \ub808\uc774\uc5b4\uac00 \ub3d9\uc2dc\uc5d0 \uc7ac\uc815\uc758<\/strong>\ub418\uace0 \uc788\ub2e4.\n      \uc774 \uae00\uc740 L0(Site)\ubd80\ud130 L15(Service)\uae4c\uc9c0\uc758 \ubcc0\ud658\uc744 \uc815\ub7c9 \ub370\uc774\ud130\uc640 \ud568\uaed8 \ud55c \ud398\uc774\uc9c0\uc5d0 \ud3bc\uce5c\ub2e4.\n    <\/p>\n  <\/div>\n<\/section>\n<!-- ============================================\n     STACK DIAGRAM \u2014 Signature\n     ============================================ -->\n<section class=\"stack-section\">\n  <div class=\"wrap-wide\">\n    <h2 class=\"stack-h\">\ubcc0\ud658\ub41c 16\uac1c \ub808\uc774\uc5b4, \ud55c\ub208\uc5d0<\/h2>\n    <figure class=\"stack-figure\">\n      <img decoding=\"async\" src=\"http:\/\/kyunam.com\/wp-content\/uploads\/2026\/06\/aidc_layer16-1.jpg\" alt=\"AIDC 16-Layer \ud0dd\uc0ac\ub178\ubbf8: L0 Site &amp; Facility\ubd80\ud130 L15 Service\uae4c\uc9c0 16\uac1c \ub808\uc774\uc5b4 \uad6c\uc870\ub3c4\" referrerpolicy=\"no-referrer\" loading=\"lazy\">\n      <figcaption>L0 Site &amp; Facility\ubd80\ud130 L15 Service\uae4c\uc9c0 \u2014 16\uac1c \ub808\uc774\uc5b4\uac00 \ub3d9\uc2dc\uc5d0 \uc7ac\uc815\uc758\ub41c\ub2e4.<\/figcaption>\n  <\/figure><\/div>\n<\/section>\n\n<!-- ============================================\n     \u00a71 \u2014 FACILITY\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">01 \/ FACILITY \u00b7 L0<\/span>\n    <h2>\ubd80\uc9c0\uac00 \uace7 \uc804\ub825\uc774\uace0, <span class=\"em\">\uac74\ubb3c\uc774 \uace7 \uad6c\uc870 \ubcf4\uac15<\/span>\uc774\ub2e4<\/h2>\n    <p class=\"section-lead\">\n      \uad11 \ubc31\ubcf8 + \ub3c4\uc2ec \uc811\uadfc\uc131\uc5d0\uc11c GW\uae09 \uc1a1\uc804\ub9dd \uc811\uadfc\uc131\uc73c\ub85c. \ubd80\uc9c0 \uc120\uc815 \uae30\uc900\uc774 \ub4a4\uc9d1\ud78c \uccab \ubc88\uc9f8 \ub808\uc774\uc5b4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L0 Site &amp; Facility<\/span>\n      <code>Site Selection<\/code> \u00b7 <code>Power Grid Interconnection<\/code> \u00b7 <code>Building Structure<\/code> \u00b7 <code>Floor Loading<\/code> \u00b7 <code>Seismic Design<\/code> \u00b7 <code>Tier Classification<\/code> \u00b7 <code>Modular\/Prefab DC<\/code> \u00b7 <code>AI Factory<\/code> \u00b7 <code>AI Campus<\/code>\n    <\/div>\n\n    <p>\n      Classical IDC\uac00 \uad11 \ubc31\ubcf8\uacfc \ub3c4\uc2ec \uc811\uadfc\uc131\uc744 1\uc21c\uc704\ub85c \ub450\ub358 \uc2dc\ub300\uc5d0, AIDC\ub294 <strong>GW\uae09 \uc1a1\uc804\ub9dd \uc811\uadfc\uc131, \ub300\uaddc\ubaa8 \uc218\uc790\uc6d0, \ud1a0\uc9c0\uc758 \ud48d\ubd80\ud568<\/strong>\uc774 \uacb0\uc815 \uc694\uc778\uc774 \ub418\uc5c8\ub2e4.\n      \ub2e8\uc704 MW\ub2f9 \uba74\uc801\ub3c4 1,500\u20133,000 m\u00b2(\uc804\ud1b5)\uc5d0\uc11c 500\u20131,500 m\u00b2(\uc218\ub0c9)\ub85c \uc904\uc9c0\ub9cc, \uc804\uae30\uc2e4\u00b7CDU\uc2e4\u00b7BESS\uc2e4 \uba74\uc801\uc774 \ud06c\uac8c \ub298\uc5b4 \ucd1d\ub7c9\uc740 \ube44\uc2b7\ud558\uac70\ub098 \ub354 \ud06c\ub2e4.\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">1,360 <span class=\"unit\">kg<\/span> \/ rack<\/div>\n      <div class=\"pull-label\">GB200 NVL72 1\ub300 \ubb34\uac8c \u00b7 CDU flooded \uc2dc +3 ton<\/div>\n    <\/div>\n\n    <p>\n      \uac74\ubb3c \uad6c\uc870\uc5d0\uc11c \uac00\uc7a5 \ucda9\uaca9\uc801\uc778 \ubcc0\ud654\ub294 <strong>floor load<\/strong>\ub2e4. \uc804\ud1b5 raised-floor 500\u20131,000 kg\/m\u00b2(7.2\u201312 kPa)\uc600\ub358 \uac83\uc774, GB200 NVL72 \ud55c rack\uc774 1,360 kg, CDU flooded \uc2dc \ucd94\uac00 3 ton\uc774 \ub354\ud574\uc838 <strong>800\u20132,500 kg\/m\u00b2 \uc2ac\ub798\ube0c \ubcf4\uac15<\/strong>\uc774 \uad8c\uc7a5\ub41c\ub2e4.\n      Eaton\uc758 Heavy-Duty SmartRack(2024.10)\uc740 static 5,000 lb(2,268 kg)\ub85c \uc124\uacc4\ub418\uc5c8\ub2e4. \uae30\uc874 IDC retrofit \uc2dc hairline crack, pedestal deflection\uc774 \ubcf4\uace0\ub418\ub294 \uc774\uc720\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>Tier Classification<\/strong>\uc758 \uc801\uc6a9 \ubc29\uc2dd\ub3c4 \ubcc0\ud588\ub2e4. \uae08\uc735\u00b7\uad6d\ubc29\uc6a9 Tier IV\uac00 \ucd5c\uc0c1\uc704\uc600\ub358 \uc2dc\ub300\uc5d0, AIDC \ud559\uc2b5 \ud074\ub7ec\uc2a4\ud130\ub294 application-layer redundancy(checkpoint\/restart)\uc640 \uacb0\ud569\ub41c <strong>Tier III\uac00 \uc0ac\uc2e4\uc0c1 \ud45c\uc900<\/strong>\uc774\ub2e4.\n      Google Cloud\ub294 Tier \uc790\uccb4\ub97c \uc0ac\uc6a9\ud558\uc9c0 \uc54a\ub294\ub2e4\uace0 \uba85\uc2dc\ud55c\ub2e4 \u2014 facility 2N redundancy\ubcf4\ub2e4 \ubd84\uc0b0 SW redundancy\uac00 \ube44\uc6a9 \ub300\ube44 \ud6a8\uacfc\uc801\uc774\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>Modular\/Prefab DC\ub294 \ub354 \uc774\uc0c1 \uc635\uc158\uc774 \uc544\ub2c8\ub2e4<\/strong>. Schneider EcoStruxure Pod Data Centre\ub294 pod\ub2f9 \ucd5c\ub300 1 MW+, 42 racks\uae4c\uc9c0 100 kW+ rack\uc744 \uc218\uc6a9\ud558\uba70, \uacf5\uc7a5 \uc870\ub9bd \ud6c4 \ud604\uc7a5 16\uc8fc(\uc804\ud1b5 36\uc8fc \ub300\ube44 30% \ub2e8\ucd95)\uc5d0 deploy\ub41c\ub2e4.\n      Vertiv SmartMod\ub3c4 95% factory-tested\ub85c 14\uc8fc \ubbf8\ub9cc \ucd9c\ud558\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"stat-grid\">\n      <div class=\"stat-card\">\n        <div class=\"num\">$29.9B<span class=\"small\">\u2192$80B<\/span><\/div>\n        <div class=\"label\">Modular DC \uc2dc\uc7a5 \/ 2024\u21922030E<\/div>\n      <\/div>\n      <div class=\"stat-card\">\n        <div class=\"num\">16<span class=\"small\">\uc8fc<\/span><\/div>\n        <div class=\"label\">Schneider Pod \ud604\uc7a5 deploy<\/div>\n      <\/div>\n      <div class=\"stat-card\">\n        <div class=\"num\">100k+ <span class=\"small\">m\u00b2<\/span><\/div>\n        <div class=\"label\">\ub300\ud615 AIDC \ubd80\uc9c0 \ud1b5\uc0c1 \uba74\uc801<\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a72 \u2014 POWER\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">02 \/ POWER \u00b7 L1<\/span>\n    <h2>5 kW\uc5d0\uc11c 1 MW\uae4c\uc9c0, <span class=\"em\">\ub450 \uc790\ub9bf\uc218 \ub3c4\uc57d<\/span><\/h2>\n    <p class=\"section-lead\">\n      GPU TDP\uc758 \ud3ed\uc99d\uc774 \uc804\uccb4 \uc804\ub825 \uc778\ud504\ub77c\ub97c \uc7ac\uad6c\uc870\ud654\ud588\ub2e4. 800V HVDC, BESS, SMR\uc774 \ubaa8\ub450 \ub4f1\uc7a5\ud55c \uc774\uc720\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L1 Power<\/span>\n      <code>Grid Connection (154\/345 kV)<\/code> \u00b7 <code>800V HVDC<\/code> \u00b7 <code>BESS<\/code> \u00b7 <code>UPS Li-ion<\/code> \u00b7 <code>SMR<\/code> \u00b7 <code>Fuel Cell<\/code> \u00b7 <code>PUE\/pPUE<\/code> \u00b7 <code>Power Capping<\/code> \u00b7 <code>Stranded Power<\/code> \u00b7 <code>RE100\/PPA\/REC<\/code>\n    <\/div>\n\n    <p>\n      Rack \uc804\ub825 \ubc00\ub3c4\ub294 <strong>\uc778\uacfc \uc0ac\uc2ac\uc758 \ucd9c\ubc1c\uc810<\/strong>\uc774\ub2e4. GPU TDP\uac00 A100 400W \u2192 H100 700W \u2192 B200 1,000W \u2192 Rubin Ultra 2,300W+ \u2192 Feynman(2028 \ucd94\uc815) 4,400W\ub85c \uc99d\uac00\ud558\uba74\uc11c, rack \ubc00\ub3c4\uac00 \ud3ed\uc99d\ud588\ub2e4.\n    <\/p>\n\n    <div class=\"table-wrap\">\n      <table>\n        <thead>\n          <tr>\n            <th>\uc138\ub300<\/th>\n            <th>Rack Power<\/th>\n            <th>Power Distribution<\/th>\n            <th>UPS \uc804\ub7b5<\/th>\n            <th>\uc2dc\uae30<\/th>\n          <\/tr>\n        <\/thead>\n        <tbody>\n          <tr>\n            <td>Classical IDC<\/td>\n            <td><strong>5\u201310 kW<\/strong><\/td>\n            <td>3\u03c6 415\/480V AC + 48V busbar<\/td>\n            <td>Double-conv + VRLA<\/td>\n            <td class=\"mono\">~2010\u20132022<\/td>\n          <\/tr>\n          <tr>\n            <td>H100 era<\/td>\n            <td>30\u201380 kW<\/td>\n            <td>415\/480V AC + 48V DC busway<\/td>\n            <td>Li-ion + supercap<\/td>\n            <td class=\"mono\">2023\u20132024<\/td>\n          <\/tr>\n          <tr>\n            <td><strong>GB200 NVL72<\/strong><\/td>\n            <td><strong>120 kW<\/strong><\/td>\n            <td>415V AC + 48V busbar<\/td>\n            <td>Li-ion + BBU<\/td>\n            <td class=\"mono\">2025 \uc591\uc0b0<\/td>\n          <\/tr>\n          <tr>\n            <td>GB300 Blackwell Ultra<\/td>\n            <td>~140 kW<\/td>\n            <td>\uc9c4\ud654 \uc911 (\u00b1400V \uc0ac\uc774\ub4dc\uce74)<\/td>\n            <td>BBU \ud45c\uc900\ud654<\/td>\n            <td class=\"mono\">2025\u20132026<\/td>\n          <\/tr>\n          <tr>\n            <td><strong>Rubin Ultra \/ Kyber rack<\/strong><\/td>\n            <td><strong>~600 kW \ucd94\uc815 (NVL576 \uae30\uc900)<\/strong><\/td>\n            <td><strong>800 VDC \uc0dd\ud0dc\uacc4 (OCP Diablo 400 \uae30\ubc18)<\/strong><\/td>\n            <td>OCP HPR + Flywheel<\/td>\n            <td class=\"mono\">2027 \uc591\uc0b0 \ubaa9\ud45c<\/td>\n          <\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <p>\n      <strong>800VDC\/\u00b1400VDC rack power architecture\ub294 2027\ub144 \uc774\ud6c4 \uace0\ubc00\ub3c4 AI rack\uc758 \uc720\ub825\ud55c \ubc29\ud5a5\uc73c\ub85c \ubd80\uc0c1\ud558\uace0 \uc788\ub2e4<\/strong>. \uae30\uc874 54V DC busbar\ub85c 1 MW\uae09\uc744 \ubd84\ubc30\ud558\uba74 rack\ub2f9 <strong>200 kg\uc758 \ub3d9(\u9285) busbar<\/strong>\uac00 \ud544\uc694\ud558\uace0, \ucc28\uc138\ub300 rack\uc5d0\uc11c <strong>\ucd5c\ub300 64U\ub97c \uc810\uc720<\/strong>\ud574 compute \uacf5\uac04\uc774 \uc0ac\uc2e4\uc0c1 \uc5c6\uc5b4\uc9c4\ub2e4.\n      <strong>OCP Mt. Diablo (Diablo 400) \uc0ac\uc591<\/strong>(2025.5 v0.5.2, Microsoft\u00b7Meta\u00b7Google \uacf5\ub3d9 \uc800\uc790, 2026.2 v0.7\ub85c \uc5c5\ub370\uc774\ud2b8)\uc740 \uc0ac\uc774\ub4dc\uce74 \uc544\ud0a4\ud14d\ucc98\ub85c AC\u2192\u00b1400 VDC \uc218\uc9c1 busbar\ub97c \uad6c\uc131\ud558\uba70, OCP \uacf5\uc2dd \ud45c\ud604\uc73c\ub85c\ub294 &#8220;<em>future fundamental base\uac00 \ub418\uae30\ub97c \uae30\ub300<\/em>&#8220;\ud558\ub294 \uc0ac\uc591\uc73c\ub85c <strong>100 kW\uc5d0\uc11c 1 MW\uae4c\uc9c0 \ud655\uc7a5 \uac00\ub2a5<\/strong>\ud558\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\ub2e4 \u2014 \uc989 \uc0b0\uc5c5 \ud45c\uc900\uc774 \ud655\uc815\ub41c \uac83\uc740 \uc544\ub2c8\uace0, \ud558\uc774\ud37c\uc2a4\ucf00\uc77c\ub7ec \uc8fc\ub3c4\uc758 spec proposal \ub2e8\uacc4\ub2e4.\n      Schneider\ub294 end-to-end <strong>\ud6a8\uc728 +5%, \uc720\uc9c0\ubcf4\uc218 \u221270%<\/strong>\ub97c \ucd94\uc815\ud55c\ub2e4(\ubca4\ub354 \uc790\uccb4 \ud3c9\uac00).\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">\u03bcs \u2192 ms \u2192 100ms \u2192 <span class=\"unit\">10s<\/span><\/div>\n      <div class=\"pull-label\">UPS \ub2e4\uce35\ud654 \/ BBU \u2192 Li-ion \u2192 BESS \u2192 Generator<\/div>\n    <\/div>\n\n    <p>\n      <strong>UPS\ub3c4 \ub2e4\uce35\ud654<\/strong>\ub418\uc5c8\ub2e4. AI workload\ub294 \uc218\ucc9c GPU\uac00 \ubc00\ub9ac\ucd08 \ub2e8\uc704\ub85c \ub3d9\uae30 ramp\ud574 \uc2dc\uc124 \ucd1d \uc6a9\ub7c9\uc758 2\u201310%\uac00 \ucd08 \ub2e8\uc704 \uc2a4\ud30c\uc774\ud06c\ub41c\ub2e4 \u2014 \ub514\uc824 generator\uc758 10\u201315\ucd08 startup\uc73c\ub85c\ub294 \ub300\uc751 \ubd88\uac00\ub2a5\ud558\ub2e4.\n      \ud574\ubc95\uc740 chip\/rack BBU(\u03bcs\u2013ms) \u2192 Li-ion UPS(&lt;10 ms) \u2192 grid BESS(100 ms) \u2192 generator(10\u201315 s)\uc758 \uacc4\uce35\ud654\ub2e4.\n      xAI Colossus\ub294 <strong>168\u00d7 Tesla Megapack<\/strong>\uc73c\ub85c ramp\ub97c \ud761\uc218\ud55c\ub2e4.\n      BESS \uac00\uaca9\uc740 1991 $7,500\/kWh \u2192 2024 <strong>$133\/kWh<\/strong> \u2192 2030E $80\/kWh\ub85c \uae09\ub77d \uc911\uc774\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>PUE\uc758 \ud55c\uacc4\uac00 \ub4dc\ub7ec\ub0ac\ub2e4<\/strong>. Classical IDC PUE 1.5\u20131.8, hyperscaler 1.1\u20131.2, AIDC + D2C \uc218\ub0c9\uc740 1.05\u20131.15\uae4c\uc9c0 \ub5a8\uc5b4\uc84c\ub2e4.\n      \ud558\uc9c0\ub9cc PUE\ub294 \uc2dc\uc124 overhead \ube44\uc728\uc77c \ubfd0 \uc808\ub300 \ud6a8\uc728\uc774 \uc544\ub2c8\ub2e4. Schneider Electric\uc740 <strong>PCE(Power Compute Effectiveness)<\/strong>\ub97c \uc0c8\ub85c\uc6b4 \ubcf4\uc644 KPI\ub85c \uc81c\uc548\ud588\ub2e4 \u2014 &#8220;provisioned power \uc911 \uc5bc\ub9c8\ub098 \uc2e4\uc81c \uc720\uc6a9\ud55c compute work\ub85c \uc804\ud658\ub418\ub294\uac00&#8221;\ub97c \ubcf8\ub2e4. \uadf8 \uc704\uc5d0\uc11c <strong>tokens\/watt<\/strong>(unit energy\ub2f9 AI \uc0b0\ucd9c)\uc640 <strong>cost\/token<\/strong>(revenue \ubcc0\ud658 \ud6a8\uc728)\uc774 outcome-based \ubcf4\uc644 \uc9c0\ud45c\ub85c \uc790\ub9ac\uc7a1\uace0 \uc788\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>On-site Generation\uc740 \uc120\ud0dd\uc774 \uc544\ub2c8\ub77c \ud544\uc218<\/strong>\uac00 \ub418\uace0 \uc788\ub2e4. \ubbf8\uad6d behind-the-meter \ub370\uc774\ud130\uc13c\ud130 \ud30c\uc774\ud504\ub77c\uc778\uc774 ~50 GW\uc5d0 \ub2ec\ud55c\ub2e4.\n      xAI Colossus Memphis\ub294 portable gas turbine 35\u201346\ub300(\ud569\uc0b0 422 MW)\ub97c \uc6b4\uc6a9, Microsoft-Constellation Three Mile Island 837 MW \uc7ac\uac00\ub3d9(2028), Amazon-Talen Susquehanna 1,920 MW, Meta-Oklo 1.2 GW, Google-Kairos 500 MW SMR fleet \ub4f1 <strong>\uc6d0\uc804 \ub974\ub124\uc0c1\uc2a4<\/strong>\uac00 \uac00\uc18d\ud654\ub418\uace0 \uc788\ub2e4.\n      SMR \ud30c\uc774\ud504\ub77c\uc778\uc740 2024\ub144 \ub9d0 25 GW \u2192 2025\ub144 \ub9d0 <strong>45 GW<\/strong>\ub85c \ub298\uc5c8\ub2e4(IEA).\n    <\/p>\n\n    <p>\n      <strong>\ud55c\uad6d \uc2dc\uc0ac\uc810<\/strong>: KEPCO \ubd80\ucc44 202\uc870\uc6d0 \ucd08\uacfc\ub85c \uc1a1\uc804 \uc778\ud504\ub77c \ud22c\uc790 \uc9c0\uc5f0, \ub3d9\ud574\uc548~\uc2e0\uac00\ud3c9 \uac08\ub4f1 \ub4f1 \uc2e0\uaddc \uc1a1\uc804\uc120\ub85c \uac74\uc124 \ub09c\ud56d, <strong>\uacc4\ud1b5\uc601\ud5a5\ud3c9\uac00\uc81c\ub3c4<\/strong> \ub3c4\uc785\uc73c\ub85c \ud3c9\uac00 \ud1b5\uacfc\ud574\uc57c \uc2e0\uaddc DC \uc124\ub9bd \uac00\ub2a5.\n      \uad6d\ub0b4\uc5d0\uc11c\ub3c4 KEPCO \uc8fc\ub3c4\uc758 <strong>LVDC \ud30c\uc77c\ub7ff(2025.4)<\/strong>\uc774 \uc9c4\ud589 \uc911\uc774\uba70, 800V HVDC \ud750\ub984\uacfc \uc815\ud569\ud55c\ub2e4.\n    <\/p>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a73 \u2014 COOLING\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">03 \/ COOLING \u00b7 L2<\/span>\n    <h2>100kW+ rack\uc5d0\uc11c <span class=\"em\">\uc218\ub0c9\uc774 \uc0c8\ub85c\uc6b4 baseline<\/span><\/h2>\n    <p class=\"section-lead\">\n      GB200 GPU die heat flux\ub294 \uacf5\ub7ad \ud55c\uacc4\uc758 40\u2013100\ubc30. 100kW+ \uace0\ubc00\ub3c4 rack\uc5d0\uc11c\ub294 D2C \uc218\ub0c9\uc774 baseline\uc73c\ub85c \uc774\ub3d9 \uc911\uc774\ub2e4 \u2014 \uc800\ubc00\ub3c4 \ucd94\ub860\u00b7\uc77c\ubd80 retrofit \ud658\uacbd\uc5d0\uc11c\ub294 \uacf5\ub7ad\u00b7\ud558\uc774\ube0c\ub9ac\ub4dc\ub3c4 \uc5ec\uc804\ud788 \uc4f0\uc778\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L2 Cooling<\/span>\n      <code>D2C (Direct-to-Chip)<\/code> \u00b7 <code>Cold Plate<\/code> \u00b7 <code>Immersion (Single\/Two-phase)<\/code> \u00b7 <code>RDHx<\/code> \u00b7 <code>CDU<\/code> \u00b7 <code>FWS\/TCS Loop<\/code> \u00b7 <code>Dry Cooler<\/code> \u00b7 <code>WUE<\/code> \u00b7 <code>Free Cooling<\/code> \u00b7 <code>Waste Heat Reuse<\/code>\n    <\/div>\n\n    <p>\n      \uacf5\ub7ad\uc758 \ubb3c\ub9ac\uc801 \ud55c\uacc4\ub294 \uba85\ud655\ud558\ub2e4 \u2014 well-engineered hot\/cold aisle containment \uc2dc <strong>30\u201340 kW\/rack<\/strong>\uc774 \uc0c1\ud55c\uc774\uba70, JLL\uc740 41.3 kW\/rack\uc744 \ud55c\uacc4\uc810\uc73c\ub85c \ubcf8\ub2e4.\n      GB200 GPU\uc758 die heat flux\ub294 <strong>500\u2013600 W\/cm\u00b2<\/strong>\ub85c \uacf5\ub7ad \ud55c\uacc4(5\u201315 W\/cm\u00b2)\uc758 <strong>40\u2013100\ubc30<\/strong>\ub2e4.\n      120 kW rack\uc744 \uacf5\ub7ad \uc2dc\ub3c4 \uc2dc \ud32c \uc804\ub825\ub9cc rack power\uc758 20\u201330%\ub97c \uc18c\ube44\ud558\uba70 90+ dB \uc18c\uc74c\uc774 \ubc1c\uc0dd\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">300<span class=\"unit\">\u00d7<\/span> water \uc808\uac10<\/div>\n      <div class=\"pull-label\">NVIDIA \ubc1c\ud45c: GB200 NVL72 \ud3d0\uc1c4 \ub8e8\ud504 D2C vs H100 \uacf5\ub7ad, \ub3d9\uc77c power \uae30\uc900<\/div>\n    <\/div>\n\n    <p>\n      <strong>GB200 NVL72\ub294 100% \uc218\ub0c9, \ud32c\uc774 \uc5c6\ub2e4<\/strong>. \uc2dc\uc124 chilled water 25\u201345\u00b0C \uacf5\uae09\uc73c\ub85c 120 kW \uc5f0\uc18d \ubc29\uc5f4\ud55c\ub2e4.\n      Cold plate\ub294 \uc5f4\uc800\ud56d \u22640.03 \u00b0C\/W, 1.2 LPM\/kW @ 45\u00b0C inlet, 6 bar \uc6b4\uc804 \/ 12 bar burst \uc2a4\ud399\uc774\ub2e4.\n      <strong>CDU(Coolant Distribution Unit)<\/strong>\ub294 NVL72\uc6a9 150\u2013200 kW\uae09\uc774 \ud45c\uc900\uc774\uba70, Google Deschutes CDU(OCP 2025)\ub294 <strong>2 MW heat load, 500 GPM<\/strong>\uc73c\ub85c \uc5c5\uacc4 \ucd5c\uace0 \uc0ac\uc591\uc774\ub2e4.\n    <\/p>\n\n    <div class=\"table-wrap\">\n      <table>\n        <thead>\n          <tr>\n            <th>\uae30\uc220<\/th>\n            <th>Rack \ud55c\uacc4<\/th>\n            <th>PUE<\/th>\n            <th>WUE<\/th>\n            <th>\ube44\uace0<\/th>\n          <\/tr>\n        <\/thead>\n        <tbody>\n          <tr>\n            <td>Standard CRAC<\/td>\n            <td>8\u201312 kW<\/td>\n            <td>1.5\u20131.8<\/td>\n            <td>1.5\u20132.0 L\/kWh<\/td>\n            <td>Classical IDC<\/td>\n          <\/tr>\n          <tr>\n            <td>Containment<\/td>\n            <td>15\u201325 kW<\/td>\n            <td>1.3\u20131.5<\/td>\n            <td>\ub3d9\uc77c<\/td>\n            <td>retrofit<\/td>\n          <\/tr>\n          <tr>\n            <td><strong>RDHx (active)<\/strong><\/td>\n            <td><strong>30\u2013120 kW<\/strong><\/td>\n            <td>1.2<\/td>\n            <td>\uac10\uc18c<\/td>\n            <td>hybrid \ub2e8\uacc4<\/td>\n          <\/tr>\n          <tr>\n            <td><strong>D2C \ub2e8\uc0c1 (NVL72 \ud45c\uc900)<\/strong><\/td>\n            <td><strong>100\u2013175 kW<\/strong><\/td>\n            <td><strong>1.05\u20131.15<\/strong><\/td>\n            <td>~0 (\ud3d0\uc1c4\ub8e8\ud504)<\/td>\n            <td><strong>\uc2e0\uaddc \ud45c\uc900<\/strong><\/td>\n          <\/tr>\n          <tr>\n            <td>D2C \uc774\uc0c1<\/td>\n            <td>250\u2013400+<\/td>\n            <td>1.05\u20131.10<\/td>\n            <td>~0<\/td>\n            <td>Rubin \ub300\ube44<\/td>\n          <\/tr>\n          <tr>\n            <td>\ub2e8\uc0c1 \uce68\uc9c0<\/td>\n            <td>100\u2013150 kW<\/td>\n            <td>1.02\u20131.10<\/td>\n            <td>~0<\/td>\n            <td>\uad11\uc720\uacc4 dielectric<\/td>\n          <\/tr>\n          <tr>\n            <td><strong>\uc774\uc0c1 \uce68\uc9c0<\/strong><\/td>\n            <td><strong>150\u2013250+<\/strong><\/td>\n            <td><strong>1.01\u20131.03<\/strong><\/td>\n            <td>~0<\/td>\n            <td>PFAS \uaddc\uc81c \uc774\uc288<\/td>\n          <\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <p>\n      \ub354 \ud070 \uac8c\uc784\uccb4\uc778\uc800\ub294 <strong>Vera Rubin\uc758 45\u00b0C \uc218\ub0c9 \uc9c0\uc6d0<\/strong>(CES 2026 \ubc1c\ud45c) \u2014 Dry Cooler\ub85c ambient air\uc5d0 \ubc29\uc5f4 \uac00\ub2a5, \uae30\uacc4\uc2dd chiller\u00b7Cooling Tower \ubd88\ud544\uc694\ub2e4.\n      Microsoft\ub294 <strong>2024\ub144 8\uc6d4 \uc774\ud6c4 \uc2e0\uaddc \uc124\uacc4<\/strong>\ubd80\ud130 closed-loop zero-water evaporation\uc744 \uc801\uc6a9\ud558\uba70, Phoenix\u00b7Mt. Pleasant \ud30c\uc77c\ub7ff\uc774 2026\ub144 \uac00\ub3d9, \ubcf8\uaca9 fleet \uc804\ud658\uc740 <strong>2027\ub144 \ub9d0\ubd80\ud130<\/strong>\uc774\ub2e4 \u2014 \uc989 \uae30\uc874 fleet\ub294 \uc5ec\uc804\ud788 air\u00b7water \ud63c\ud569\uc774\uba70, &#8220;WUE ~0&#8243;\uc740 \uc2e0\uaddc \uc124\uacc4 IT loop \uae30\uc900\uc774\ub2e4.\n    <\/p>\n\n    <div class=\"stat-grid\">\n      <div class=\"stat-card\">\n        <div class=\"num\">45<span class=\"small\">%<\/span><\/div>\n        <div class=\"label\">\uc21c\uc218 \uacf5\ub7ad DC \ube44\uc728 (2024 48%\u2192 2025)<\/div>\n      <\/div>\n      <div class=\"stat-card\">\n        <div class=\"num\">59<span class=\"small\">%<\/span><\/div>\n        <div class=\"label\">5\ub144 \ub0b4 \uc218\ub0c9 \ub3c4\uc785 \uacc4\ud68d<\/div>\n      <\/div>\n      <div class=\"stat-card\">\n        <div class=\"num\">76<span class=\"small\">%<\/span><\/div>\n        <div class=\"label\">2026 \ub9d0 \uc2e0\uaddc AI \uc11c\ubc84 \uc218\ub0c9 \ube44\uc911 (GS)<\/div>\n      <\/div>\n    <\/div>\n\n    <p>\n      <strong>Waste Heat Reuse<\/strong>\uc758 \uacbd\uc81c\uc131\ub3c4 \ubd80\uc0c1\ud55c\ub2e4. \uc218\ub0c9 outlet 50\u201360\u00b0C\ub294 \uacf5\ub7ad 25\u201347\u00b0C \ub300\ube44 \ud3d0\uc5f4\ud68c\uc218\uc5d0 \uc801\ud569\ud558\ub2e4.\n      Stockholm Data Parks\ub294 30+ DC, 10,000\ud638\/800,000 m\u00b2 \ub09c\ubc29\uc744 \uacf5\uae09\ud558\uba70, <strong>\ub3c5\uc77c EnEfG\ub294 2026\ub144 \uc2e0\uaddc DC \ud3d0\uc5f4 10%, 2028\ub144 20% \uc758\ubb34\ud654<\/strong>\ub97c \uc801\uc6a9\ud55c\ub2e4.\n      ERE(Energy Reuse Effectiveness) 0.3\u20130.5\uac00 \uc2e0\uaddc KPI\ub2e4.\n      \uc2e0\uaddc AIDC \uc785\uc9c0\uc5d0\uc11c \uc778\uc811 \uc0b0\uc5c5\ub2e8\uc9c0\u00b7\uc2e0\ub3c4\uc2dc\uc640\uc758 \uc9c0\uc5ed\ub09c\ubc29 \uc5f0\uacc4\ub294 \ud5a5\ud6c4 \uaddc\uc81c \ub300\ube44 \uc0ac\uc804 plumbing \uc124\uacc4\uc758 \uac00\uce58\uac00 \uc788\ub2e4.\n    <\/p>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a74 \u2014 COMPUTE\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">04 \/ COMPUTE \u00b7 L3<\/span>\n    <h2>1U \uc11c\ubc84\uc5d0\uc11c <span class=\"em\">NVL72 rack-scale \ub2e8\uc77c GPU \ub3c4\uba54\uc778<\/span>\uc73c\ub85c<\/h2>\n    <p class=\"section-lead\">\n      72 GPU + 36 Grace CPU\uac00 130 TB\/s bisection\uc73c\ub85c \ubb36\uc5ec \uc0ac\uc2e4\uc0c1 \ud558\ub098\uc758 \uac70\ub300 GPU\uac00 \ub41c\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L3 Compute<\/span>\n      <code>GPU (H100\/H200\/B200\/GB200\/Rubin)<\/code> \u00b7 <code>Accelerators (TPU\/Trainium\/Gaudi\/Groq\/Cerebras\/FuriosaAI)<\/code> \u00b7 <code>CPU (Grace\/EPYC\/Xeon\/ARM)<\/code> \u00b7 <code>DPU\/IPU (BlueField\/Pensando)<\/code> \u00b7 <code>Form Factor (HGX\/MGX\/DGX\/OCP)<\/code> \u00b7 <code>Rack-Scale (NVL72)<\/code> \u00b7 <code>HBM3\/HBM4\/CXL<\/code> \u00b7 <code>Heterogeneous (Ninja Gap)<\/code>\n    <\/div>\n\n    <p>\n      Classical IDC\uc758 <strong>dual-socket 1U\/2U Xeon\/EPYC \uc11c\ubc84<\/strong>(\uc11c\ubc84\ub2f9 300\u2013800 W, DDR5 DRAM \uc218\ubc31 GB\/s)\ub294 AIDC\uc5d0\uc11c <strong>rack \ub2e8\uc704 \ud1b5\ud569 GPU \ub3c4\uba54\uc778<\/strong>\uc73c\ub85c \uc9c4\ud654\ud588\ub2e4.\n      HGX(NVIDIA 8-GPU \ubaa8\ub4c8), MGX(modular reference), DGX(\uc790\uccb4 \uc2dc\uc2a4\ud15c), OCP Open Rack v3\uac00 standard form factor\ub85c \uc790\ub9ac\uc7a1\uc558\ub2e4.\n    <\/p>\n\n    <p>\n      NVL72\ub294 72 GPU + 36 Grace CPU\ub97c 5\uc138\ub300 NVLink\/NVSwitch\ub85c <strong>130 TB\/s \uc9d1\uacc4 bisection bandwidth<\/strong>\ub85c \ubb36\uc5b4, \uc0ac\uc2e4\uc0c1 \ud558\ub098\uc758 \uac70\ub300 GPU\ub85c \ub3d9\uc791\ud558\uac8c \ud55c\ub2e4.\n      \ud1b5\ud569 HBM3e \uba54\ubaa8\ub9ac \ud480 13.5 TB\uac00 671B \ud30c\ub77c\ubbf8\ud130 \ubaa8\ub378(DeepSeek R1) \uc804\uccb4\ub97c \ub2e8\uc77c rack\uc5d0 \uc801\uc7ac\ud55c\ub2e4.\n      NVIDIA \uacf5\uc2dd \ubc1c\ud45c \uc218\uce58\ub85c HGX H100 IB \ub300\ube44 <strong>GPT-MoE 1.8T \ud559\uc2b5 4\u00d7, \ucd94\ub860 30\u00d7, \uc5d0\ub108\uc9c0 \ud6a8\uc728 25\u00d7<\/strong>\ub97c \uc8fc\uc7a5\ud55c\ub2e4(\ubca4\ub354 \uc790\uccb4 \ubca4\uce58\ub9c8\ud06c \uae30\uc900\uc774\uba70 \ub3c5\ub9bd \uac80\uc99d\uc740 \uc81c\ud55c\uc801).\n    <\/p>\n\n    <div class=\"table-wrap\">\n      <table>\n        <thead>\n          <tr>\n            <th>\ubaa8\ub378<\/th>\n            <th>HBM<\/th>\n            <th>BW<\/th>\n            <th>TDP<\/th>\n            <th>FP4\/FP8<\/th>\n          <\/tr>\n        <\/thead>\n        <tbody>\n          <tr><td>H100 SXM<\/td><td>80 GB HBM3<\/td><td>3.35 TB\/s<\/td><td>700 W<\/td><td>FP8 1,979 TFLOPS<\/td><\/tr>\n          <tr><td>H200<\/td><td>141 GB HBM3e<\/td><td>4.8 TB\/s<\/td><td>700 W<\/td><td>+1.4\u20131.9\u00d7 \ucd94\ub860<\/td><\/tr>\n          <tr><td>B200<\/td><td>192 GB<\/td><td>8.0 TB\/s<\/td><td>1,000 W<\/td><td>FP4 9,000 TFLOPS<\/td><\/tr>\n          <tr><td><strong>GB200 NVL72<\/strong><\/td><td><strong>13.5 TB\/rack<\/strong><\/td><td>576 TB\/s<\/td><td><strong>120 kW\/rack<\/strong><\/td><td><strong>FP4 1.44 EF<\/strong><\/td><\/tr>\n          <tr><td>GB300 NVL72<\/td><td>20.7 TB\/rack<\/td><td>\uc0c1\ud5a5<\/td><td>~140 kW<\/td><td>\uc0c1\ud5a5<\/td><\/tr>\n          <tr><td><strong>Vera Rubin NVL72<\/strong> (H2 2026)<\/td><td>288 GB HBM4\/GPU<\/td><td>1.6 PB\/s\/rack<\/td><td>\u2014<\/td><td><strong>\ud559\uc2b5 2.5 EF\/rack<\/strong><\/td><\/tr>\n          <tr><td><strong>Rubin Ultra Kyber<\/strong> (2027)<\/td><td>1 TB HBM4e<\/td><td>\u2014<\/td><td><strong>~600 kW\/rack (NVL576 \uae30\uc900)<\/strong><\/td><td><strong>NVL144 \ub2e8\uc77c rack \/ NVL576 multi-rack \uc635\uc158<\/strong><\/td><\/tr>\n          <tr><td>AMD MI355X (2025.10)<\/td><td>288 GB HBM3e<\/td><td>8 TB\/s<\/td><td>1,400 W<\/td><td>FP4 20+ PFLOPS<\/td><\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <p>\n      <strong>\ub300\uc548 Accelerator \uc0dd\ud0dc\uacc4<\/strong>\ub3c4 \ub2e4\uc591\ud654\ub418\uc5c8\ub2e4: Google TPU v5p\/Trillium(Pathways), AWS Trainium2\/Inferentia2, Intel Gaudi3, Groq(LPU, \ucd94\ub860 700+ tok\/s), Cerebras(WSE-3, 1 chip = 1 wafer), SambaNova(RDU).\n      \ud55c\uad6d\uc740 <strong>FuriosaAI RNGD<\/strong>(2024.8 \ubc1c\ud45c, \ucd94\ub860 \ud6a8\uc728 NVIDIA \ub300\ube44 +2.25\u00d7 \uc8fc\uc7a5)\uc640 <strong>Rebellions ATOM-Max<\/strong>\uac00 NPU \uc9c4\uc601\uc5d0\uc11c \ubd80\uc0c1 \uc911\uc774\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>DPU\/IPU<\/strong>\ub294 \uc0c8\ub85c\uc6b4 \ud544\uc218 \ucef4\ud3ec\ub10c\ud2b8\uac00 \ub418\uc5c8\ub2e4. NVIDIA BlueField-3(400 Gbps DPU, ARM 16-core), AMD Pensando\uac00 host CPU\uc5d0\uc11c \ub124\ud2b8\uc6cc\ud06c\u00b7\uc2a4\ud1a0\ub9ac\uc9c0\u00b7\ubcf4\uc548 \ucc98\ub9ac\ub97c offload\ud558\uc5ec GPU \ud6a8\uc728\uc744 \uadf9\ub300\ud654\ud55c\ub2e4.\n      <strong>Heterogeneous Compute \u2014 &#8220;Ninja Gap&#8221;<\/strong>(CPU+GPU \ud558\uc774\ube0c\ub9ac\ub4dc \ucd94\ub860\uc5d0\uc11c GPU-only\ub97c \ub2a5\uac00\ud558\ub294 \uc601\uc5ed)\uc774 \ucd94\ub860 \ub2e8\uacc4\uc5d0\uc11c \ubcf8\uaca9 \uc790\ub9ac\uc7a1\uc558\ub2e4. Intel AMX\/AVX-512 + GPU disaggregation\uc740 Mooncake\/DistServe \uc544\ud0a4\ud14d\ucc98\uc640 \uacb0\ud569\ub41c\ub2e4.\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">$3M <span class=\"unit\">\/ rack<\/span><\/div>\n      <div class=\"pull-label\">GB200 NVL72 1\ub300 \uac00\uaca9 \u00b7 \uc804\ud1b5 rack ~$0.5M \ub300\ube44 \ud55c \uc790\ub9bf\uc218 \ub3c4\uc57d<\/div>\n    <\/div>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a75 \u2014 NETWORK\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">05 \/ NETWORK \u00b7 L4 + L10<\/span>\n    <h2>North-South 80%\uc5d0\uc11c <span class=\"em\">East-West 95%<\/span>\ub85c<\/h2>\n    <p class=\"section-lead\">\n      \ud2b8\ub798\ud53d \ud328\ud134\uc774 \ub4a4\uc9d1\ud614\ub2e4. AIDC\uc758 76%\uac00 east-west, \ub2e8\uc77c \ud559\uc2b5 \uc7a1\uc774 \uc218\uc2ed TB\uc758 GPU-to-GPU \ud2b8\ub798\ud53d\uc744 \uc0dd\uc131\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L4 Network HW<\/span>\n      <code>NVLink\/NVSwitch<\/code> \u00b7 <code>InfiniBand NDR\/XDR<\/code> \u00b7 <code>RoCEv2<\/code> \u00b7 <code>Ultra Ethernet (UEC)<\/code> \u00b7 <code>UALink<\/code> \u00b7 <code>Rail-optimized Fat-tree<\/code> \u00b7 <code>Spectrum-X<\/code> \u00b7 <code>SHARP<\/code> \u00b7 <code>800G\/1.6T Optics<\/code> \u00b7 <code>CPO<\/code> \u00b7 <code>LPO<\/code> \u00b7 <code>DCQCN\/PFC\/ECN<\/code>\n    <\/div>\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L10 Network SW<\/span>\n      <code>NVIDIA UFM<\/code> \u00b7 <code>Cumulus\/SONiC\/FRR<\/code> \u00b7 <code>BGP-EVPN<\/code> \u00b7 <code>Multus<\/code> \u00b7 <code>SR-IOV CNI<\/code> \u00b7 <code>RDMA CNI<\/code> \u00b7 <code>Cilium eBPF<\/code> \u00b7 <code>Service Mesh (Istio\/Ambient)<\/code> \u00b7 <code>NCCL\/RCCL\/libfabric\/UCX<\/code>\n    <\/div>\n\n    <p>\n      \ud2b8\ub798\ud53d \ud328\ud134\uc774 \ub4a4\uc9d1\ud614\ub2e4. Akamai\/Data Center Frontier\uc5d0 \ub530\ub974\uba74 AIDC\uc758 <strong>76% (\ubd84\uc11d\uc5d0 \ub530\ub77c 70\u201395%)\uac00 east-west<\/strong>\ub2e4.\n      \ub2e8\uc77c \ud559\uc2b5 \uc791\uc5c5\uc774 \uc218\uc2ed TB\uc758 E-W \ud2b8\ub798\ud53d\uc744 \uc0dd\uc131\ud55c\ub2e4. \ud1b5\uc2e0 \ud328\ud134\ub3c4 \ube44\ub3d9\uae30\uc801 RPC\uc5d0\uc11c <strong>\uacb0\uc815\ub860\uc801\u00b7\ub3d9\uae30\ud654\ub41c collective(AllReduce, AllGather, ReduceScatter, All-to-All)<\/strong>\ub85c \ubc14\ub00c\uc5c8\ub2e4.\n      \uadf8 \uacb0\uacfc AIDC\ub294 Frontend(\uad00\ub9ac\u00b7\uc2a4\ud1a0\ub9ac\uc9c0\u00b7\uc678\ubd80)\uc640 Backend(GPU compute fabric)\ub97c \ubb3c\ub9ac\uc801\uc73c\ub85c \ubd84\ub9ac\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"compare\">\n      <div class=\"compare-side classical\">\n        <div class=\"title\">Classical \u00b7 North-South<\/div>\n        <ul>\n          <li><strong>10\/25\/100 GbE<\/strong> Top-of-Rack<\/li>\n          <li>Tomahawk 3\/4 (12.8\u201325.6 Tbps)<\/li>\n          <li>ms\uae09 latency \ud5c8\uc6a9<\/li>\n          <li>TCP\/ECN congestion<\/li>\n          <li>Calico\/Flannel CNI<\/li>\n          <li>\uc678\ubd80 \uc0ac\uc6a9\uc790 \ud2b8\ub798\ud53d \uc911\uc2ec<\/li>\n        <\/ul>\n      <\/div>\n      <div class=\"compare-side aidc\">\n        <div class=\"title\">AIDC \u00b7 East-West<\/div>\n        <ul>\n          <li><strong>400G NDR \/ 800G XDR<\/strong>, 1.6T \uc784\ubc15<\/li>\n          <li>Quantum-X800 <strong>115.2 Tbps<\/strong><\/li>\n          <li><strong>sub-microsecond \/ &lt;100 ns<\/strong> port-to-port<\/li>\n          <li><strong>DCQCN + PFC + ECN tuning<\/strong>, HPCC<\/li>\n          <li>Multus + SR-IOV + RDMA CNI, <strong>Cilium eBPF<\/strong><\/li>\n          <li>GPU collective \uc911\uc2ec<\/li>\n        <\/ul>\n      <\/div>\n    <\/div>\n\n    <p>\n      <strong>Scale-up vs Scale-out \uad6c\ubd84\uc774 \uc0b0\uc5c5 \ud45c\uc900<\/strong>\uc774 \ub418\uc5c8\ub2e4. Scale-up\uc740 intra-rack\/pod\uc5d0\uc11c \uba54\ubaa8\ub9ac \uc2dc\ub9e8\ud2f1\uacfc NVLink(5\uc138\ub300 1.8 TB\/s\/GPU)\u00b7NVSwitch\u00b7AMD Infinity Fabric\uc73c\ub85c \ucc98\ub9ac\ud558\uace0, Scale-out\uc740 inter-rack\uc5d0\uc11c InfiniBand \ub610\ub294 lossless Ethernet\uc73c\ub85c \ucc98\ub9ac\ud55c\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>\uac1c\ubc29\ud615 \ud45c\uc900\uc774 \ubcf8\uaca9 \ub4f1\uc7a5\ud55c 2025\ub144<\/strong>\uc740 \ubd84\uc218\ub839\uc774\ub2e4.\n      <strong>UEC(Ultra Ethernet Consortium) 1.0<\/strong>(2025.6.11, 562\ucabd \uc0ac\uc591)\uc740 UET \uc804\uc1a1 \ud504\ub85c\ud1a0\ucf5c, native RDMA, AI-tuned congestion control, 100\ub9cc endpoint \ud655\uc7a5\uc744 \uc815\uc758\ud55c\ub2e4.\n      <strong>UALink 1.0<\/strong>(2025.4)\uc740 scale-up\uc6a9\uc73c\ub85c pod\ub2f9 \ucd5c\ub300 <strong>1,024 accelerator<\/strong>, 819.2 TB\/s \ucd1d bidirectional\uc744 \uc9c0\uc6d0\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">22 dB <span class=\"unit\">\u2192 4 dB<\/span><\/div>\n      <div class=\"pull-label\">CPO Insertion Loss \u00b7 128k GPU \ud074\ub7ec\uc2a4\ud130 optics \uc804\ub825 65% \uc808\uac10<\/div>\n    <\/div>\n\n    <p>\n      <strong>Optics<\/strong>\ub294 800G QSFP-DD\/OSFP pluggable(9\u201315W\/port)\uc5d0\uc11c 1.6T OSFP\ub97c \uac70\uccd0 <strong>CPO(Co-Packaged Optics)<\/strong>\u00b7LPO(Linear Pluggable Optics)\ub85c \uc9c4\ud654\ud55c\ub2e4.\n      NVIDIA Quantum-X Photonics(Q3450-LD, 144\u00d7800G)\ub294 insertion loss 22 dB \u2192 4 dB, \uc804\ub825\ud6a8\uc728 <strong>5\u00d7<\/strong>, \ubcf5\uc6d0\ub825 10\u00d7\ub97c \ub2ec\uc131\ud55c\ub2e4.\n    <\/p>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a76 \u2014 STORAGE\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">06 \/ STORAGE \u00b7 L5 + L9<\/span>\n    <h2>SAN\/NAS\uc5d0\uc11c <span class=\"em\">TB\/s parallel FS + GPU direct I\/O<\/span>\ub85c<\/h2>\n    <p class=\"section-lead\">\n      $30k GPU\uac00 IO \ub300\uae30\ub85c idle\ud558\ub294 \ube44\uc6a9\uc744 \ub9c9\uae30 \uc704\ud574, \ub370\uc774\ud130 \uacbd\ub85c \uc790\uccb4\uac00 CPU\ub97c \uc6b0\ud68c\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L5\/L9 Storage HW &amp; SW<\/span>\n      <code>Lustre\/GPFS\/BeeGFS\/WekaFS\/VAST\/DDN<\/code> \u00b7 <code>DAOS<\/code> \u00b7 <code>Ceph (RBD\/CephFS\/RGW)<\/code> \u00b7 <code>MinIO\/SeaweedFS<\/code> \u00b7 <code>Rook\/OpenEBS\/Longhorn\/Portworx<\/code> \u00b7 <code>GPUDirect Storage (GDS)<\/code> \u00b7 <code>NVMe-oF\/NVMe\/TCP<\/code> \u00b7 <code>Alluxio\/JuiceFS\/Fluid<\/code> \u00b7 <code>CheckFreq\/Gemini<\/code>\n    <\/div>\n\n    <div class=\"table-wrap\">\n      <table>\n        <thead>\n          <tr>\n            <th>\uad6c\ubd84<\/th>\n            <th>Classical IDC<\/th>\n            <th>AIDC<\/th>\n          <\/tr>\n        <\/thead>\n        <tbody>\n          <tr>\n            <td>\ud504\ub85c\ud1a0\ucf5c<\/td>\n            <td>SAN(FC 16\/32G), NAS(NFSv3\/SMB)<\/td>\n            <td><strong>Parallel FS<\/strong> (Lustre\/GPFS\/WekaFS\/VAST), NFSoRDMA<\/td>\n          <\/tr>\n          <tr>\n            <td>\ucc98\ub9ac\ub7c9<\/td>\n            <td>\uc5b4\ub808\uc774\ub2f9 \uc218\ubc31 MB\/s ~ \uc218 GB\/s<\/td>\n            <td><strong>rack\ub2f9 \uc218 TB\/s<\/strong>, cluster \uc218\uc2ed TB\/s<\/td>\n          <\/tr>\n          <tr>\n            <td>Latency<\/td>\n            <td>ms\uae09<\/td>\n            <td><strong>\u03bcs\uae09<\/strong> (NVMe-oF)<\/td>\n          <\/tr>\n          <tr>\n            <td>\ub370\uc774\ud130 \uacbd\ub85c<\/td>\n            <td>App \u2192 CPU \u2192 DRAM \u2192 NIC \u2192 Storage<\/td>\n            <td><strong>GPUDirect Storage (GDS)<\/strong>: GPU mem \u2194 NVMe\/NIC \uc9c1\uacb0<\/td>\n          <\/tr>\n          <tr>\n            <td>\ucd5c\uc801\ud654 \ub2e8\uc704<\/td>\n            <td>$\/GB<\/td>\n            <td><strong>$\/(GB\/s) + GPU idle \ud68c\ud53c<\/strong><\/td>\n          <\/tr>\n          <tr>\n            <td>Caching<\/td>\n            <td>\ubcc4\ub3c4 \uc194\ub8e8\uc158<\/td>\n            <td><strong>Alluxio, JuiceFS, Fluid<\/strong> (K8s \ud1b5\ud569)<\/td>\n          <\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">15.2 <span class=\"unit\">TB<\/span> checkpoint<\/div>\n      <div class=\"pull-label\">1T \ud30c\ub77c\ubbf8\ud130 \ubaa8\ub378 = model 2 TB + optimizer state 13.2 TB<\/div>\n    <\/div>\n\n    <p>\n      <strong>Checkpoint \uc694\uad6c\uc0ac\ud56d\uc774 \uc0c8\ub85c\uc6b4 \ud575\uc2ec \uc6cc\ud06c\ub85c\ub4dc<\/strong>\ub2e4. <strong>MLPerf Storage v2.0<\/strong>\uc5d0 \ub530\ub974\uba74 100k accelerator \ud074\ub7ec\uc2a4\ud130\ub294 1.5\ubd84\ub9c8\ub2e4 15 TB writeout, \uc77c\uc77c 14 PB write, sync \uc2dc cluster \ud3c9\uade0 <strong>3.6 TB\/s burst<\/strong>\uac00 \ud544\uc694\ud558\ub2e4.\n      \ubc18\uba74 VAST Data\uc758 85,000 checkpoint \uc2e4\uce21 \ubd84\uc11d\uc740 async checkpoint\ub85c <strong>~845 GB\/s<\/strong>\ub3c4 \uac00\ub2a5\ud568\uc744 \ubcf4\uc5ec\uc900\ub2e4 \u2014 \uc591 \uc218\uce58\ub294 \ub3d9\uae30\/\ube44\ub3d9\uae30 \ubc29\uc2dd \ucc28\uc774\ub85c \uc591\ub9bd\ud55c\ub2e4.\n    <\/p>\n\n    <p>\n      \uad6c\uccb4\uc801 \uc218\uce58: NVIDIA Eos\ub294 DDN EXAScaler\ub85c 576 DGX H100\uc5d0 <strong>4 TB\/s, 12 PB \/ &lt;3 rack<\/strong>\uc744 \uacf5\uae09\ud55c\ub2e4.\n      DDN AI400X2 + Spectrum-X\ub294 rack\ub2f9 2.4 TB\/s read. GPUDirect Storage\ub294 GPU \uba54\ubaa8\ub9ac\uc5d0 <strong>40+ GB\/s \uc9c1\uc811 \uc804\uc1a1<\/strong>\ud55c\ub2e4.\n    <\/p>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a77 \u2014 SOFTWARE \/ PLATFORM\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">07 \/ SOFTWARE \u00b7 L6 + L7 + L8<\/span>\n    <h2>VM\uc5d0\uc11c <span class=\"em\">MIG \u00b7 Gang Scheduling \u00b7 Disaggregated Inference<\/span>\ub85c<\/h2>\n    <p class=\"section-lead\">\n      VMware\/OpenStack \uc2a4\ud0dd\uc740 GPU Operator + MIG + HPC \uc2a4\ucf00\uc904\ub7ec\ub85c \ub300\uccb4\ub418\uc5c8\ub2e4. \uba40\ud2f0\ud14c\ub10c\uc2dc \ubcf5\uc7a1\ub3c4\uac00 \ud55c \ucc28\uc6d0 \uc99d\uac00\ud588\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L6 Cluster Management<\/span>\n      <code>K8s (Vanilla\/OpenShift)<\/code> \u00b7 <code>Slurm<\/code> \u00b7 <code>Volcano (CNCF)<\/code> \u00b7 <code>Kueue<\/code> \u00b7 <code>Ray\/KubeRay<\/code> \u00b7 <code>GPU Operator<\/code> \u00b7 <code>MIG<\/code> \u00b7 <code>MPS<\/code> \u00b7 <code>HAMi<\/code> \u00b7 <code>Run:ai<\/code> \u00b7 <code>Gang Scheduling<\/code> \u00b7 <code>Topology-aware<\/code> \u00b7 <code>Resource Governance (Commons)<\/code>\n    <\/div>\n\n    <h3 class=\"sub\">7.1 \u2014 GPU \uc790\uc6d0 \uaca9\ub9ac: MIG + Gang Scheduling<\/h3>\n    <p>\n      <strong>MIG(Multi-Instance GPU)<\/strong>\ub294 H100\uc5d0\uc11c \ucd5c\ub300 <strong>7 compute slice + 8 memory slice<\/strong>\ub85c 19\uac1c \ud504\ub85c\ud30c\uc77c \uc9c0\uc6d0, HW \uaca9\ub9ac\ub85c vGPU(SW \uaca9\ub9ac) \ub300\ube44 enterprise-grade noisy-neighbor \ucc28\ub2e8\uc744 \uc81c\uacf5\ud55c\ub2e4.\n      MIG + time-slicing \uc870\ud569 \uc2dc \ub2e8\uc77c GPU\uc5d0 \ucd5c\ub300 28(=7\u00d74) \ub9ac\uc18c\uc2a4 \uc694\uccad \uc11c\ube59 \uac00\ub2a5. K8s 1.31+ <strong>DRA(Dynamic Resource Allocation)<\/strong>\ub294 MIG \ub3d9\uc801 \uc7ac\ubd84\ud560\uc744 \uac00\ub2a5\ucf00 \ud55c\ub2e4.\n    <\/p>\n\n    <p>\n      vanilla K8s <code>nvidia.com\/gpu: 1<\/code>\uc740 GPU \uc804\uccb4\ub97c \uc810\uc720\ud55c\ub2e4. \ub2e8\uc77c \uc7a1\uc774 1,024 GPU\uc5d0 \uac78\uccd0\uc788\uc744 \ub54c \uc77c\ubc18 \uc2a4\ucf00\uc904\ub7ec\ub294 partial allocation\uc73c\ub85c \uc2dc\uc791 \u2192 1,024\uc7a5 \ub3d9\uc2dc \ud655\ubcf4 \uc2e4\ud328 \uc2dc <strong>GPU deadlock<\/strong> \u2192 gang scheduling\uc774 \ud544\uc218\uac00 \ub41c\ub2e4.\n      NCCL AllReduce\ub294 ring\/tree topology\ub97c \uac00\uc815\ud558\ubbc0\ub85c \uc2a4\ucf00\uc904\ub7ec\uac00 NVLink \ub3c4\uba54\uc778\uc744 \ubb34\uc2dc\ud558\uba74 throughput 50%+ \uc190\uc2e4\uc774\ub2e4.\n    <\/p>\n\n    <div class=\"table-wrap\">\n      <table>\n        <thead>\n          <tr><th>\ud56d\ubaa9<\/th><th>vanilla K8s<\/th><th>Volcano<\/th><th>Slurm<\/th><th>Ray\/KubeRay<\/th><th>Kueue<\/th><\/tr>\n        <\/thead>\n        <tbody>\n          <tr>\n            <td>Gang scheduling<\/td>\n            <td>\u274c (deadlock)<\/td>\n            <td>\u2705<\/td>\n            <td>\u2705 native<\/td>\n            <td>\u2705 (Volcano)<\/td>\n            <td>\u2705<\/td>\n          <\/tr>\n          <tr>\n            <td>Topology-aware<\/td>\n            <td>\u274c<\/td>\n            <td>\u2705<\/td>\n            <td>\u2705<\/td>\n            <td>\u25b3<\/td>\n            <td>\u25b3<\/td>\n          <\/tr>\n          <tr>\n            <td>\ucc98\ub9ac\ub7c9<\/td>\n            <td>baseline<\/td>\n            <td><strong>2\u20134\u00d7 vs K8s<\/strong><\/td>\n            <td>\u03bcs batch<\/td>\n            <td>\uc6cc\ud06c\ud50c\ub85c<\/td>\n            <td>hierarchical quota<\/td>\n          <\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L7 AI\/ML Platform \u2014 Training<\/span>\n      <code>FSDP<\/code> \u00b7 <code>DeepSpeed ZeRO<\/code> \u00b7 <code>Megatron-LM<\/code> \u00b7 <code>Colossal-AI<\/code> \u00b7 <code>DP\/TP\/PP\/EP\/SP<\/code> \u00b7 <code>BF16\/FP8\/FP4<\/code> \u00b7 <code>Activation Checkpointing<\/code> \u00b7 <code>NCCL\/SHARP\/Overlap<\/code> \u00b7 <code>Elastic Training<\/code> \u00b7 <code>W&amp;B\/MLflow<\/code>\n    <\/div>\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L7 AI\/ML Platform \u2014 Inference<\/span>\n      <code>vLLM<\/code> \u00b7 <code>TensorRT-LLM<\/code> \u00b7 <code>SGLang<\/code> \u00b7 <code>llm-d<\/code> \u00b7 <code>Triton<\/code> \u00b7 <code>KServe<\/code> \u00b7 <code>Ray Serve<\/code> \u00b7 <code>NVIDIA Dynamo<\/code> \u00b7 <code>Prefill-Decode Disaggregation<\/code> \u00b7 <code>PagedAttention\/RadixAttention\/LMCache<\/code> \u00b7 <code>EAGLE-3\/MTP<\/code> \u00b7 <code>AWQ\/GPTQ\/SmoothQuant<\/code> \u00b7 <code>DeepEP\/DeepGEMM<\/code> \u00b7 <code>Multi-LoRA<\/code> \u00b7 <code>LiteLLM\/Portkey<\/code>\n    <\/div>\n\n    <h3 class=\"sub\">7.2 \u2014 Inference: PD Disaggregation\uc758 \uc2dc\ub300<\/h3>\n    <p>\n      <strong>NVIDIA Dynamo<\/strong>\uc758 \ucc28\ubcc4\uc810: prefill(compute-bound)\uacfc decode(memory-bound)\ub97c <strong>\ubd84\ub9ac\ub41c GPU pool\uc5d0 disaggregated serving<\/strong>\ud55c\ub2e4.\n      SLA-based Planner\uac00 TTFT\/ITL \ubaa9\ud45c \uc785\ub825 \uc2dc \uc790\ub3d9 prefill\/decode worker \uc2a4\ucf00\uc77c\ub9c1, KV-aware routing, <strong>HBM \u2192 CPU mem \u2192 NVMe \u2192 S3\/Azure blob \uacc4\uce35\uc801 KV offload<\/strong>.\n      GB200 NVL72\uc5d0\uc11c DeepSeek-R1 <strong>+30\u00d7 vs \uae30\uc874<\/strong>, MoE <strong>+50\u00d7 vs Hopper<\/strong>\ub97c NVIDIA\uac00 \ubc1c\ud45c\ud588\ub2e4(\ub3c5\ub9bd \uac80\uc99d \uc81c\ud55c\uc801).\n    <\/p>\n\n    <p>\n      <strong>MoE Inference<\/strong>\ub294 \ubcc4\ub3c4 \ucd5c\uc801\ud654 \ub3c4\uba54\uc778\uc774\ub2e4 \u2014 DeepEP(expert routing), DeepGEMM(FP8 grouped GEMM), Expert Parallelism \ub9e4\ud551\uc774 \ud575\uc2ec\uc774\ub2e4.\n      <strong>Multi-LoRA Serving<\/strong>(\uc218\ucc9c \uc5b4\ub311\ud130 \ub3d9\uc2dc \uc11c\ube59)\uacfc Adapter Routing(LoRAX, PEFT)\uc774 mass customization\uc744 \uac00\ub2a5\ucf00 \ud55c\ub2e4.\n      <strong>Inference Gateway<\/strong>(LiteLLM Proxy, Portkey, Kong AI)\ub294 multi-model routing\u00b7rate limit\u00b7\uce90\uc2f1\uc744 \ud1b5\ud569\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L7.5 Agent + L8 Data Platform<\/span>\n      <code>LangGraph<\/code> \u00b7 <code>AutoGen<\/code> \u00b7 <code>CrewAI<\/code> \u00b7 <code>OpenAI Agents SDK<\/code> \u00b7 <code>MCP (Model Context Protocol)<\/code> \u00b7 <code>Temporal\/Restate<\/code> \u00b7 <code>E2B\/Daytona\/Modal<\/code> \u00b7 <code>Kafka\/Pulsar<\/code> \u00b7 <code>Delta\/Iceberg\/Hudi<\/code> \u00b7 <code>Spark\/Ray Data\/Flink<\/code> \u00b7 <code>Data Mesh\/Contracts<\/code> \u00b7 <code>DataHub\/Atlan<\/code>\n    <\/div>\n\n    <h3 class=\"sub\">7.3 \u2014 Agent Layer\uc640 Data Platform<\/h3>\n    <p>\n      <strong>Agent Layer (L7.5)<\/strong>\ub294 \uc0c8\ub85c \ucd94\uac00\ub41c \ub3c4\uba54\uc778\uc774\ub2e4. <strong>LangGraph, AutoGen, CrewAI, OpenAI Agents SDK<\/strong>\uac00 agent framework, <strong>MCP(Model Context Protocol)<\/strong>\uac00 tool integration \ud45c\uc900\uc774\uba70, <strong>E2B\/Daytona\/Modal<\/strong>\uc774 sandbox\/code execution\uc744 \ub2f4\ub2f9\ud55c\ub2e4. Temporal\/Restate\uac00 long-running agent workflow\ub97c \ub2f4\ub2f9\ud55c\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>Data Platform (L8)<\/strong>: \uc804\ud1b5 IDC\uac00 RDBMS + Oracle Exadata + DataStage ETL\uc774\uc5c8\ub2e4\uba74, AIDC\uc758 \ub370\uc774\ud130 \ud3c9\uba74\uc740 <strong>Lakehouse<\/strong>(Delta\/Iceberg\/Hudi) + Streaming(Kafka) + Distributed Compute(Spark\/Ray Data) + Catalog(DataHub\/Unity)\uac00 \ud45c\uc900\uc774\ub2e4.\n      LLM \ud559\uc2b5 \ub370\uc774\ud130\ub294 PB\uae09 \ud14d\uc2a4\ud2b8\uc758 <strong>Distributed Tokenization + Deduplication<\/strong>(MinHash, SimHash)\uac00 \ubcc4\ub3c4 \uc6cc\ud06c\ub85c\ub4dc\ub97c \ud615\uc131\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">75%+ <span class=\"unit\">\uc870\uc9c1 GPU \ud65c\uc6a9\ub960 &lt; 70%<\/span><\/div>\n      <div class=\"pull-label\">Introl 2025 \u2014 peak load\uc5d0\uc11c\ub3c4 \ubbf8\ub2ec. \uaca9\ub9ac\u00b7\uc2a4\ucf00\uc904\ub9c1 \ubcf5\uc7a1\ub3c4\uac00 \ube44\uc6a9\uc744 \ub9cc\ub4e0\ub2e4.<\/div>\n    <\/div>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a78 \u2014 WORKLOAD\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">08 \/ WORKLOAD<\/span>\n    <h2>Stateless ms \uc791\uc5c5\uc5d0\uc11c <span class=\"em\">\ub3d9\uae30\ud654\ub41c \uc218\uac1c\uc6d4 \ud559\uc2b5<\/span>\uc73c\ub85c<\/h2>\n    <p class=\"section-lead\">\n      Meta Llama 3.1 405B 54\uc77c \ud559\uc2b5 \uc2e4\uce21 \u2014 3\uc2dc\uac04\ub2f9 1\ud68c \uc778\ud130\ub7fd\ud2b8. \ubd84\uc0b0 \uc2e0\ub8b0\uc131\uc774 \ubcc4\ub3c4 R&amp;D \uc601\uc5ed\uc774 \ub41c \uc774\uc720\ub2e4.\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">3<span class=\"unit\">\uc2dc\uac04\ub2f9 1\ud68c<\/span> \uc778\ud130\ub7fd\ud2b8<\/div>\n      <div class=\"pull-label\">Llama 3.1 405B \u00b7 16,384 H100 \u00b7 54\uc77c pre-training \u00b7 GPU\/HBM\uc774 unplanned 58.7%<\/div>\n    <\/div>\n\n    <p>\n      Meta Llama 3.1 405B \uc2e4\uce21(2024, 16,384 H100, 54\uc77c pre-training)\uc774 \uacb0\uc815\uc801 \ub370\uc774\ud130\ub2e4.\n      <strong>\ucd1d \uc778\ud130\ub7fd\ud2b8 466\uac74 = \uacc4\ud68d 47 + \uc608\uc0c1\uce58 \ubabb\ud55c 419\uac74<\/strong>, \ud3c9\uade0 3\uc2dc\uac04\ub2f9 1\ud68c.\n      \uc2e4\ud328 \uc6d0\uc778\uc740 GPU 30.1% + HBM3 17.2% + \ub124\ud2b8\uc6cc\ud06c 8.4% + SRAM 4.5% + GPU \uc2dc\uc2a4\ud15c \ud504\ub85c\uc138\uc11c 4.1%\ub85c GPU\/HBM\uc774 unplanned\uc758 \uc57d 58.7%\ub97c \ucc28\uc9c0\ud55c\ub2e4.\n      <strong>419\uac74 \uc911 3\uac74\ub9cc human intervention \ud544\uc694<\/strong> \u2014 async checkpoint + NCCL flight recorder\ub85c effective training time &gt;90% \uc720\uc9c0.\n      CPU \uc7a5\uc560\ub294 \ub2e8 2\uac74(0.5%)\uc5d0 \ubd88\uacfc\ud588\ub2e4 \u2014 Classical IDC\uc640 \uc815\ubc18\ub300 \ubd84\ud3ec\ub2e4.\n    <\/p>\n\n    <p>\n      100K GPU\ub85c \uc678\uc0bd \uc2dc <strong>~30\ubd84\ub2f9 1\ud68c fail<\/strong> \uac00\ub2a5\uc131. xAI Colossus 555,000 GPU\uae09(SemiAnalysis \ub4f1 \ubcf4\ub3c4 \ucd94\uc815)\uc5d0\uc11c\ub294 \ubd84\uc0b0 \uc2e0\ub8b0\uc131 \uacf5\ud559\uc774 \ubcc4\ub3c4 R&amp;D \uc601\uc5ed\uc774\ub2e4.\n    <\/p>\n\n    <h3 class=\"sub\">\uc0c8\ub85c\uc6b4 KPI\ub4e4<\/h3>\n    <p>\n      <strong>MFU(Model FLOPs Utilization)\uac00 \uc0c8\ub85c\uc6b4 KPI<\/strong>\ub2e4. H100 BF16 \uc774\ub860\uce58 989 TFLOPS \ub300\ube44 Llama 3.1 405B\ub294 38\u201343% \ub2ec\uc131, PaLM\uc740 ~46%, FP8 MoE\ub294 ~20%. \uc591\ud638 \uae30\uc900\uc740 40\u201350% sustained\ub2e4.\n      \ud559\uc2b5 \ucd1d \ube44\uc6a9: Llama 3.1 405B = <strong>30.84M GPU-hours, ~21.6 GWh, ~8,930 tCO2eq<\/strong>.\n    <\/p>\n\n    <h3 class=\"sub\">\uc804\ub825 \ud328\ud134 \u2014 Grid Stress<\/h3>\n    <p>\n      AllReduce \ub3d9\uae30\ud654\ub294 compute(700W) \u2194 communication(\uc800\uc804\ub825) <strong>square-wave<\/strong>\ub97c \uc0dd\uc131, 16K\u2013100K GPU \ub3d9\uc2dc \uc9c4\ub3d9 \uc2dc <strong>\ub799\u00b7\ub85c\uc6b0\u00b7DC \uc778\uc785\uc120\uae4c\uc9c0 \uc218\uc2ed MW \uc2a4\uc719<\/strong>(Oracle OCI \uc2e4\uce21).\n      arXiv 2508.14318\uc740 GPU\uac00 \uc11c\ubc84 provisioned power\uc758 &gt;50%\ub97c \uc810\uc720\ud558\uba70 oscillation \uc8fc\ud30c\uc218\uac00 <strong>grid resonance\uc640 \uc77c\uce58 \uc2dc \ubb3c\ub9ac\uc801 \uc190\uc0c1<\/strong> \uc6b0\ub824\ub97c \ubcf4\uace0\ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"compare\">\n      <div class=\"compare-side classical\">\n        <div class=\"title\">Classical Workload<\/div>\n        <ul>\n          <li>Stateless web\/DB, ms~min<\/li>\n          <li>\ub3c5\ub9bd\uc801, 60\u201370% flat load<\/li>\n          <li>dP\/dt \uc791\uc74c<\/li>\n          <li>\uc77c\ubc18 UPS\ub85c \ub300\uc751<\/li>\n          <li><strong>SLA: uptime 99.9%, p99 latency<\/strong><\/li>\n        <\/ul>\n      <\/div>\n      <div class=\"compare-side aidc\">\n        <div class=\"title\">AIDC Workload<\/div>\n        <ul>\n          <li>\ubd84\uc0b0 training, \uc218\uc77c~\uc218\uac1c\uc6d4<\/li>\n          <li>1K\u2013100K GPU, AllReduce \uc9c0\ubc30\uc801<\/li>\n          <li><strong>30\u201395% in seconds<\/strong>, dP\/dt \uc218\uc2ed MW\/s<\/li>\n          <li>GPU power smoothing, bi-way UPS, dummy workload<\/li>\n          <li>Training: <strong>MFU, Goodput, JCT<\/strong> \u00b7 Inference: <strong>TTFT, ITL, TPOT<\/strong><\/li>\n        <\/ul>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a79 \u2014 OBSERVABILITY\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">09 \/ OBSERVABILITY \u00b7 L11<\/span>\n    <h2>5\ubd84 SNMP\uc5d0\uc11c <span class=\"em\">1\ucd08 DCGM + Digital Twin<\/span>\uc73c\ub85c<\/h2>\n    <p class=\"section-lead\">\n      \ud154\ub808\uba54\ud2b8\ub9ac sampling \uc8fc\uae30\uac00 300\ubc30 \ube68\ub77c\uc84c\uace0, Digital Twin\uc774 \ud45c\uc900 \uc6b4\uc601 \ub3c4\uad6c\uac00 \ub418\uc5c8\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L11 Observability &amp; AIOps<\/span>\n      <code>Prometheus\/Thanos\/Mimir\/VictoriaMetrics<\/code> \u00b7 <code>Loki\/OpenSearch\/Vector<\/code> \u00b7 <code>Tempo\/Jaeger\/OpenTelemetry<\/code> \u00b7 <code>Pixie\/Parca\/Coroot (eBPF)<\/code> \u00b7 <code>DCGM\/Nsight Systems<\/code> \u00b7 <code>PyTorch Profiler\/HTA<\/code> \u00b7 <code>Schneider EcoStruxure\/Vertiv\/Sunbird<\/code> \u00b7 <code>NVIDIA Omniverse\/Cadence Reality DC<\/code> \u00b7 <code>Anomaly Detection\/Predictive Maintenance\/Causal RCA<\/code>\n    <\/div>\n\n    <p>\n      DCIM\uc740 Schneider EcoStruxure IT, Vertiv Trellis, Sunbird(SNMP\/Modbus\/BACnet 5\ubd84 polling)\uc5d0\uc11c <strong>AI-era DCIM + NVIDIA Mission Control + Omniverse Digital Twin<\/strong>\uc73c\ub85c \uc9c4\ud654\ud588\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>NVIDIA DCGM + DCGM-Exporter<\/strong>\ub294 sub-second polling(\ubcf4\ud1b5 1s, classical 5\ubd84 \ub300\ube44 <strong>300\ubc30<\/strong>)\uc73c\ub85c SM \ud65c\uc6a9\ub960, HBM \uc628\ub3c4, NVLink CRC\/replay, ECC SBE\/DBE, PCIe replay \ub4f1 GPU\ub2f9 500+ metric\uc744 \uc218\uc9d1\ud55c\ub2e4.\n      XID error\uac00 \uc6cc\ud06c\ub85c\ub4dc \uc2e4\ud328 \uc804\uc5d0 metric\uc73c\ub85c \ub098\ud0c0\ub098 \uc608\uce21 \uc815\ube44\ub97c \uac00\ub2a5\ucf00 \ud55c\ub2e4.\n    <\/p>\n\n    <div class=\"table-wrap\">\n      <table>\n        <thead>\n          <tr><th>\ub808\uc774\uc5b4<\/th><th>Classical<\/th><th>AIDC<\/th><\/tr>\n        <\/thead>\n        <tbody>\n          <tr><td>Metrics<\/td><td>Zabbix\/Nagios\/Cacti<\/td><td><strong>Prometheus + Thanos\/Mimir + VictoriaMetrics<\/strong><\/td><\/tr>\n          <tr><td>Logs<\/td><td>rsyslog \u2192 ELK<\/td><td><strong>Loki\/OpenSearch + Vector pipeline<\/strong><\/td><\/tr>\n          <tr><td>Traces<\/td><td>(\ubcc4\ub85c \uc5c6\uc74c)<\/td><td><strong>OpenTelemetry + Tempo\/Jaeger<\/strong><\/td><\/tr>\n          <tr><td>eBPF<\/td><td>N\/A<\/td><td><strong>Pixie\/Parca\/Coroot<\/strong> (\ucee4\ub110 \ubb34\uc911\ub2e8 \uad00\ucc30)<\/td><\/tr>\n          <tr><td>GPU<\/td><td>N\/A<\/td><td><strong>DCGM + Nsight + PyTorch Profiler + HTA<\/strong><\/td><\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <h3 class=\"sub\">Digital Twin\uc774 \ubcf8\uaca9\ud654\ub418\uc5c8\ub2e4<\/h3>\n    <p>\n      <strong>Cadence Reality DC Platform + NVIDIA Omniverse DSX blueprint<\/strong>\ub294 14,000+ \ubd80\ud488 \/ 750+ vendor \ub77c\uc774\ube0c\ub7ec\ub9ac, GB200 NVL72 \ubaa8\ub378 \ud3ec\ud568, mechanical\/thermal(CFD)\/fluid dynamics\/electrical \ud1b5\ud569 \uc2dc\ubbac\ub808\uc774\uc158\uc744 \uc81c\uacf5\ud55c\ub2e4.\n      Cadence \uacf5\uc2dd \uc131\uacfc: <strong>\uc6cc\ud06c\ud50c\ub85c 30\u00d7 \uac00\uc18d, \uc5d0\ub108\uc9c0 \ud6a8\uc728 30% \uac1c\uc120<\/strong>. NVIDIA\uac00 \uc790\uc0ac \uc288\ud37c\ucef4 \uc124\uacc4\uc5d0 \uc9c1\uc811 \uc0ac\uc6a9\ud55c\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>AIOps<\/strong>\ub294 \ub2e8\uc21c \ubaa8\ub2c8\ud130\ub9c1\uc744 \ub118\uc5b4\uc120\ub2e4 \u2014 Robust PCA\u00b7Isolation Forest \uae30\ubc18 \uc774\uc0c1\ud0d0\uc9c0\ub85c HW failure\ub97c 24\u201372\uc2dc\uac04 \uc0ac\uc804 \uc608\uce21, Causal Inference\ub85c RCA\ub97c \uc790\ub3d9\ud654, Capacity Planning(Forecasting)\uc73c\ub85c GPU \uc218\uc694 6\uac1c\uc6d4 \uc120\ud589 \uc608\uce21, Self-healing Automation\uc740 XID error \ubc1c\uc0dd \uc2dc \uc790\ub3d9 \ub178\ub4dc drain + checkpoint resume\uae4c\uc9c0 \ubb34\uc778 \ucc98\ub9ac\ud55c\ub2e4.\n    <\/p>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a710 \u2014 SECURITY\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">10 \/ SECURITY \u00b7 L12<\/span>\n    <h2>Perimeter\uc5d0\uc11c <span class=\"em\">Confidential Computing + Sovereign AI<\/span>\ub85c<\/h2>\n    <p class=\"section-lead\">\n      Data-in-use\uae4c\uc9c0 \ubcf4\ud638\ud558\ub294 \ud328\ub7ec\ub2e4\uc784. Model IP\ub294 \uc218\uc870\uc6d0 \uc790\uc0b0\uc774\uace0, Sovereign AI\ub294 \uad6d\uac00 \ub2e8\uc704 \uacbd\uc7c1\uc774 \ub418\uc5c8\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L12 Security Software<\/span>\n      <code>Keycloak\/Okta\/Azure AD<\/code> \u00b7 <code>SPIFFE\/SPIRE<\/code> \u00b7 <code>Vault\/External Secrets<\/code> \u00b7 <code>Intel TDX\/AMD SEV-SNP\/ARM CCA<\/code> \u00b7 <code>NVIDIA H100\/H200 CC mode<\/code> \u00b7 <code>Keylime\/Veraison (Attestation)<\/code> \u00b7 <code>FHE\/MPC\/DP (PPML)<\/code> \u00b7 <code>SBOM\/Sigstore\/in-toto<\/code> \u00b7 <code>Falco\/Tetragon<\/code> \u00b7 <code>OPA\/Kyverno<\/code> \u00b7 <code>NeMo Guardrails\/LlamaGuard<\/code> \u00b7 <code>C2PA<\/code>\n    <\/div>\n\n    <p>\n      Classical IDC \ubcf4\uc548\uc740 \ubb3c\ub9ac(mantrap, biometric), \ub9dd\ubd84\ub9ac(VLAN, DMZ, WAF), \ucef4\ud50c\ub77c\uc774\uc5b8\uc2a4(ISO 27001, SOC 2, K-ISMS)\ub85c perimeter \uc911\uc2ec\uc774\ub2e4.\n      <strong>\ub370\uc774\ud130 \ubcf4\ud638\ub3c4 at-rest\/in-transit\ub9cc \ubcf4\ud638\ub418\uace0 in-use\ub294 \ud3c9\ubb38<\/strong>\uc73c\ub85c \ub178\ucd9c\ub418\uc5c8\ub2e4.\n    <\/p>\n\n    <p>\n      AIDC\ub294 <strong>Confidential Computing<\/strong>\uc73c\ub85c data-in-use\uae4c\uc9c0 \ubcf4\ud638\ud55c\ub2e4. <strong>NVIDIA H100\/H200\/B200 CC mode<\/strong>\ub294 on-die RoT \uae30\ubc18 CVM TEE\ub97c \uad6c\uc131, HBM VRAM\u00b7PCIe\u00b7NVLink\uae4c\uc9c0 \uc554\ud638\ud654\ud55c\ub2e4.\n      <strong>Intel TDX, AMD SEV-SNP, ARM CCA<\/strong>\uc640 \uacb0\ud569\ud55c composite attestation\uc744 \ud1b5\uacfc\ud574\uc57c KMS\uac00 \ubaa8\ub378 \ubcf5\ud638\ud654 \ud0a4\ub97c TEE \ub0b4\ubd80\ub85c release\ud55c\ub2e4.\n      \uc131\ub2a5 overhead\ub294 <strong>5\u201315%<\/strong>\uc774\uba70, hypervisor\u00b7CSP \uc6b4\uc601\uc790\u00b7\ubb3c\ub9ac \uc811\uadfc\uc790\uc870\ucc28 \ubaa8\ub378\u00b7\ub370\uc774\ud130 \uc811\uadfc \ucc28\ub2e8\ub41c\ub2e4.\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">73.2% \u2192 <span class=\"unit\">8.7%<\/span><\/div>\n      <div class=\"pull-label\">Prompt Injection \uacf5\uaca9 \uc131\uacf5\ub960 \/ hierarchical guardrails \uc801\uc6a9 \ud6c4 (arXiv 2511.15759)<\/div>\n    <\/div>\n\n    <p>\n      <strong>Model IP \ubcf4\ud638\uac00 \uc0c8\ub85c\uc6b4 \ub3c4\uba54\uc778<\/strong>\uc73c\ub85c \ub4f1\uc7a5\ud588\ub2e4. Frontier \ubaa8\ub378 weight\ub294 \ud559\uc2b5\ube44\uc6a9 $100M\u2013$1B+\uc758 \uc218\uc870\uc6d0 IP\ub2e4.\n      OWASP LLM01:2025\uc758 1\uc704 \ucde8\uc57d\uc810\uc778 <strong>Prompt injection<\/strong>\uc740 \ub2e8\uc77c\ud134 \uacf5\uaca9 \uc131\uacf5\ub960 ~13%, \uba40\ud2f0\ud134\uc740 \ud3c9\uade0 60%+, \uc77c\ubd80 \ubaa8\ub378 92.78%(Cisco AI Defense 2025).\n      arXiv 2511.15759 \ud504\ub808\uc784\uc6cc\ud06c(content filtering + hierarchical guardrails + multi-stage verification)\ub294 \uacf5\uaca9 \uc131\uacf5\ub960 73.2% \u2192 8.7%\ub85c \ub0ae\ucd98\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>Sovereign AI<\/strong>\uac00 \uad6d\uac00 \ub2e8\uc704 \uc778\ud504\ub77c \uacbd\uc7c1\uc73c\ub85c \ubd80\uc0c1\ud588\ub2e4. UAE G42(MS $1.5B), \ud504\ub791\uc2a4 Mistral(\u20ac109B AI Action Summit), \ubbf8\uad6d Stargate $500B, EU AI Act, <strong>\ud55c\uad6d NAICC<\/strong>(2\uc870~2.5\uc870\uc6d0, 1+ EF, 2027~28).\n      NVIDIA-\ud55c\uad6d \uc815\ubd80 2025\ub144 \ubc1c\ud45c\ub294 <strong>\ucd1d 260,000+ GPU<\/strong>(NAICC + NHN\/Kakao\/NAVER 50k + Samsung 50k + SK 50k + Hyundai 50k Blackwell)\ub2e4.\n    <\/p>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a711 \u2014 ESG\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">11 \/ SUSTAINABILITY \u00b7 L1+L2<\/span>\n    <h2>1.5%\uc5d0\uc11c 4%\ub85c, <span class=\"em\">multi-GW \ub2e8\uc9c0<\/span>\uc758 \uc2dc\ub300<\/h2>\n    <p class=\"section-lead\">\n      \uae00\ub85c\ubc8c DC \uc804\ub825\uc774 +128% \uc99d\uac00\ud55c\ub2e4. PUE \ud558\ub098\ub9cc\uc73c\ub860 \ubd80\uc871\ud558\uace0, WUE\/CUE\/ERE 4-metric \uc2dc\ub300.\n    <\/p>\n\n    <div class=\"stat-grid\">\n      <div class=\"stat-card\">\n        <div class=\"num\">945<span class=\"small\">TWh<\/span><\/div>\n        <div class=\"label\">2030 \uae00\ub85c\ubc8c DC \uc804\ub825 (2024 415 TWh +128%, IEA)<\/div>\n      <\/div>\n      <div class=\"stat-card\">\n        <div class=\"num\">3-4<span class=\"small\">%<\/span><\/div>\n        <div class=\"label\">2030 \uae00\ub85c\ubc8c \uc804\ub825 \uc911 DC \ube44\uc911<\/div>\n      <\/div>\n      <div class=\"stat-card\">\n        <div class=\"num\">35-50<span class=\"small\">%<\/span><\/div>\n        <div class=\"label\">2030 DC \uc804\ub825 \uc911 AI \ube44\uc911<\/div>\n      <\/div>\n      <div class=\"stat-card\">\n        <div class=\"num\">45<span class=\"small\">GW<\/span><\/div>\n        <div class=\"label\">SMR \ud30c\uc774\ud504\ub77c\uc778 (2025 \ub9d0, IEA)<\/div>\n      <\/div>\n    <\/div>\n\n    <p>\n      <strong>\ub2e8\uc9c0 \uaddc\ubaa8\uc758 \uc9c8\uc801 \ubcc0\ud654<\/strong>: \uc804\ud1b5 IDC 10\u201350 MW vs hyperscaler 50\u2013150 MW vs <strong>AIDC 100 MW \u2013 multi-GW<\/strong>.\n      Meta Hyperion (Louisiana Richland Parish)\uc740 Meta \uacf5\uc2dd \ubc1c\ud45c \uae30\uc900 <strong>2GW+ compute capacity<\/strong>, \ubcf4\ub3c4\u00b7Zuckerberg \ubc1c\uc5b8\uc73c\ub85c\ub294 \uc7a5\uae30\uc801\uc73c\ub85c <strong>5GW\uae4c\uc9c0 \ud655\uc7a5 \uac00\ub2a5<\/strong>. AWS Susquehanna 1,920 MW. Stargate $500B\/4\ub144. xAI Colossus\ub294 SemiAnalysis\u00b7Tom&#8217;s Hardware \ub4f1 \ubcf4\ub3c4\uc5d0 \ub530\ub974\uba74 \uc57d <strong>555,000 GPU, 2 GW \uaddc\ubaa8<\/strong>(xAI \uacf5\uc2dd \ub2e8\uc77c \ubc1c\ud45c\ub294 \uc5c6\uc73c\uba70, $18B\ub294 \ucd94\uc815\uce58)\ub85c \uc54c\ub824\uc838 \uc788\ub2e4.\n    <\/p>\n\n    <div class=\"table-wrap\">\n      <table>\n        <thead>\n          <tr><th>Metric<\/th><th>\uc815\uc758<\/th><th>Classical<\/th><th>Hyperscaler<\/th><th>AIDC \ubaa9\ud45c<\/th><\/tr>\n        <\/thead>\n        <tbody>\n          <tr><td><strong>PUE<\/strong><\/td><td>Total \/ IT Power<\/td><td>1.5\u20131.8<\/td><td>1.1\u20131.2 (Google 1.09)<\/td><td><strong>&lt;1.3<\/strong> (D2C)<\/td><\/tr>\n          <tr><td><strong>WUE<\/strong><\/td><td>Water \/ IT Energy<\/td><td>1.8\u20132.0 L\/kWh<\/td><td>0.5\u20131.0<\/td><td><strong>\ud3d0\uc1c4\ub8e8\ud504 ~0<\/strong><\/td><\/tr>\n          <tr><td><strong>CUE<\/strong><\/td><td>CO2 \/ IT Energy<\/td><td>\uadf8\ub9ac\ub4dc \uc758\uc874<\/td><td>24\/7 CFE \ucd94\uad6c<\/td><td><strong>\ubb34\ud0c4\uc18c PPA\u00b7SMR<\/strong><\/td><\/tr>\n          <tr><td><strong>ERE<\/strong><\/td><td>(Total \u2212 Reused) \/ IT<\/td><td>0\u20130.1<\/td><td>0.2\u20130.3<\/td><td><strong>\uc9c0\uc5ed\ub09c\ubc29 0.4+<\/strong><\/td><\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <h3 class=\"sub\">\ud55c\uad6d ESG \ud604\uc2e4\uc740 \uac00\ud639\ud558\ub2e4<\/h3>\n    <p>\n      \uc7ac\uc0dd\uc5d0\ub108\uc9c0 \ube44\uc911 ~10%(OECD \ud3c9\uade0 1\/3), RE100 \uac00\uc785 \ud55c\uad6d 183\uac1c\uc0ac \uc911 <strong>70\uac1c\uc0ac(38.3%)\uac00 \uc870\ub2ec \uc5b4\ub824\uc6c0 \ud638\uc18c<\/strong>(CDP 2024, \ubbf8\uad6d\uc758 3.5\ubc30).\n      PPA \ubd80\ub300\ube44\uc6a9(\ub9dd\uc0ac\uc6a9\ub8cc + \uc804\ub825\uc0b0\uc5c5\uae30\ubc18\uae30\uae08)\uc774 \ubc1c\uc804\ub2e8\uac00\uc758 18\u201327%. \uc0bc\uc131\uc804\uc790 \ud55c\uad6d \uc7ac\uc0dd\uc5d0\ub108\uc9c0 \ube44\uc911 2.7%, NAVER PPA 5%.\n      RE100 100% \ub2ec\uc131\uc740 \uc0ac\uc2e4\uc0c1 \ubd88\uac00\ub2a5\ud558\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>\uad6d\ub0b4 AIDC ESG \uc804\ub7b5<\/strong>: 100% RE \ub2ec\uc131 \ub300\uc2e0 <strong>K-CFE(24\/7 \ubb34\ud0c4\uc18c\uc5d0\ub108\uc9c0, \uc6d0\uc804 \ud3ec\ud568) + \uad6d\ub0b4 BESS + \ud5a5\ud6c4 SMR \uc635\uc158 + ERE 0.3+<\/strong> \uc870\ud569\uc774 \ud604\uc2e4\uc801 differentiation\uc774\ub2e4.\n      \uc778\uc811 \uc0b0\uc5c5\ub2e8\uc9c0\u00b7\uc2e0\ub3c4\uc2dc \uc9c0\uc5ed\ub09c\ubc29 \uc5f0\uacc4\ub85c \ud3d0\uc5f4 \ud68c\uc218, \ud3d0\uc1c4 \ub8e8\ud504 \uc218\ub0c9\uc73c\ub85c WUE ~0 \ub2ec\uc131\uc774 \uad8c\uc7a5\ub41c\ub2e4.\n    <\/p>\n  <\/div>\n<\/article>\n\n<!-- ============================================\n     \u00a712 \u2014 BUSINESS MODEL\n     ============================================ -->\n<article class=\"section\">\n  <div class=\"wrap\">\n    <span class=\"section-num\">12 \/ BUSINESS \u00b7 L13 + L14 + L15<\/span>\n    <h2>Per-Rack\uc5d0\uc11c <span class=\"em\">Per-Token, GPU-backed Finance<\/span>\ub85c<\/h2>\n    <p class=\"section-lead\">\n      Pricing \ub2e8\uc704 \uc790\uccb4\uac00 \ubc14\ub00c\uc5c8\ub2e4. GPU\uac00 \ub2f4\ubcf4\uac00 \ub418\uace0, \ud1a0\ud070\uc774 \uacb0\uc81c \ub2e8\uc704\uac00 \ub418\uc5c8\ub2e4.\n    <\/p>\n\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L13 Developer Experience<\/span>\n      <code>Backstage\/Port\/Cortex (IDP)<\/code> \u00b7 <code>JupyterHub\/Hex\/Deepnote<\/code> \u00b7 <code>Claude Code\/Cursor \ud1b5\ud569<\/code> \u00b7 <code>Spec-Driven Development Infra<\/code> \u00b7 <code>Coding Agent Infra<\/code> \u00b7 <code>Self-Service Portal<\/code>\n    <\/div>\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L14 FinOps<\/span>\n      <code>GPU Cost Attribution<\/code> \u00b7 <code>Showback\/Chargeback<\/code> \u00b7 <code>Spot\/Preemptible<\/code> \u00b7 <code>Token Economics<\/code> \u00b7 <code>Reserved Capacity<\/code> \u00b7 <code>Kubecost\/OpenCost\/CloudZero\/Vantage<\/code>\n    <\/div>\n    <div class=\"keywords\">\n      <span class=\"keywords-label\">L15 Service\/Product<\/span>\n      <code>IaaS\/CaaS\/PaaS<\/code> \u00b7 <code>MaaS<\/code> \u00b7 <code>AaaS (Agent as a Service)<\/code> \u00b7 <code>FaaS for AI<\/code> \u00b7 <code>Sovereign Cloud<\/code> \u00b7 <code>Neocloud (CoreWeave\/Lambda)<\/code>\n    <\/div>\n\n    <div class=\"table-wrap\">\n      <table>\n        <thead>\n          <tr><th>\ucc28\uc6d0<\/th><th>Classical Colo<\/th><th>AIDC<\/th><\/tr>\n        <\/thead>\n        <tbody>\n          <tr><td>\ub2e8\uc704<\/td><td>per rack-month \/ kW<\/td><td><strong>per GPU-hour, per M token<\/strong><\/td><\/tr>\n          <tr><td>H100 \uc2dc\uc138<\/td><td>\u2014<\/td><td>$1.45 (SF) ~ $6.16 (CoreWeave) ~ $11.06 (AWS) \/hr<\/td><\/tr>\n          <tr><td>H100 1-yr reserved<\/td><td>\u2014<\/td><td>$1.70\/hr (2025.10) \u2192 <strong>$2.35\/hr (2026.3), +40%<\/strong><\/td><\/tr>\n          <tr><td>MaaS pricing<\/td><td>N\/A<\/td><td>GPT-5.4 $2.50\/$15, Claude Opus 4.5 $5\/$25, Gemini 3 Flash $0.50\/$3 per M tokens<\/td><\/tr>\n          <tr><td>Hyperscaler vs Neocloud<\/td><td>\u2014<\/td><td>DGX H100 hyperscaler $98\/hr vs neocloud $34\/hr (<strong>66% \uc808\uac10<\/strong>)<\/td><\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <p>\n      <strong>Service Layer\uac00 \ub2e4\uce35\ud654<\/strong>\ub418\uc5c8\ub2e4 \u2014 IaaS(bare-metal GPU\/VM) \u2192 CaaS(K8s containers) \u2192 PaaS(ML platform) \u2192 <strong>MaaS<\/strong>(model API) \u2192 <strong>AaaS<\/strong>(agent runtime) \u2192 <strong>FaaS for AI<\/strong>(serverless inference, Replicate, Modal, Banana).\n      \ub3d9\uc77c GPU \uc790\uc0b0\uc774 \uc5ec\ub7ec layer\ub85c \ubcc0\ud658\ub418\uc5b4 monetization \ub2e4\uac01\ud654\uac00 \uac00\ub2a5\ud558\ub2e4.\n    <\/p>\n\n    <p>\n      <strong>Internal Developer Platform (L13)<\/strong>\ub3c4 \uc0c8\ub85c \ub4f1\uc7a5\ud588\ub2e4. <strong>Backstage(Spotify), Port, Cortex<\/strong>\uac00 service catalog\uc640 golden path\ub97c \uc81c\uacf5, \uac1c\ubc1c\uc790\uac00 GPU quota request \u2192 job submission \u2192 cost showback\uae4c\uc9c0 self-service\ub85c \ucc98\ub9ac\ud55c\ub2e4.\n      AI-native DevEx\uc5d0\uc11c JupyterHub\/Hex\/Deepnote\uac00 \ub370\uc774\ud130 \uc0ac\uc774\uc5b8\ud2f0\uc2a4\ud2b8 UX, <strong>Claude Code\/Cursor \ud1b5\ud569<\/strong>\uc774 \ucf54\ub529 \uc5d0\uc774\uc804\ud2b8 \uc778\ud504\ub77c\uc758 \ud575\uc2ec\uc774\ub2e4.\n      <strong>Spec-Driven Development Infra<\/strong>\uac00 \uc0c8\ub85c\uc6b4 paradigm\uc73c\ub85c, AI \ud611\uc5c5 \uac1c\ubc1c\uc5d0\uc11c spec\uc774 single source of truth\uac00 \ub41c\ub2e4.\n    <\/p>\n\n    <div class=\"pull\">\n      <div class=\"pull-stat\">$8.5B <span class=\"unit\">DDTL \u00b7 A3 \ub4f1\uae09<\/span><\/div>\n      <div class=\"pull-label\">CoreWeave 2026.3 \u2014 \ucd5c\ucd08 IG \ub4f1\uae09 GPU-backed financing. \ucd1d \ubd80\ucc44 $21.6B.<\/div>\n    <\/div>\n\n    <p>\n      <strong>Neocloud \ubaa8\ub378<\/strong>(CoreWeave, Lambda, Crusoe, Nebius)\uc774 \ub4f1\uc7a5\ud588\ub2e4. CoreWeave\ub294 40+ DC, 250k+ GPU, OpenAI $11.9B 5\ub144 \uacc4\uc57d, MS $10B+ \ub2e4\ub144\uacc4\uc57d\uc744 \ud655\ubcf4.\n      2026.3\uc5d0 <strong>DDTL 4.0 $8.5B \uc870\ub2ec<\/strong>(A3 \ub4f1\uae09, \ucd5c\ucd08 IG \ub4f1\uae09 GPU-backed financing).\n    <\/p>\n\n    <p>\n      <strong>GPU as collateral<\/strong>\uc774 \uc0c8\ub85c\uc6b4 \uae08\uc735 \ud328\ud134\uc774\ub2e4. Lambda\ub294 $500M GPU-backed ABS \uc5c5\uacc4 \ucd5c\ucd08, NVIDIA\uac00 Lambda 18k GPU $1.5B \ub9ac\uc2a4\ubc31 \u2014 NVIDIA\uac00 \uc790\uccb4 ecosystem \uc790\uae08 \uacf5\uae09\uc790\uac00 \ub418\ub294 <strong>round-trip finance<\/strong>\uac00 \uc131\ub9bd\ud55c\ub2e4.\n      Risk: H100 \uc2a4\ud31f \uac00\uaca9\uc774 $7\u201310 \u2192 $2\u20134 in 18\uac1c\uc6d4 \ud558\ub77d \ud6c4 \ub2e4\uc2dc +40% \ubc18\ub4f1\ud558\ub294 \ubcc0\ub3d9\uc131.\n    <\/p>\n  <\/div>\n<\/article>\n\n\n<!-- ============================================\n     APPENDIX \u2014 Layer Index\n     ============================================ -->\n<section class=\"appendix\">\n  <div class=\"wrap-wide\">\n    <h2>\ubd80\ub85d \/ 16-Layer \ud0a4\uc6cc\ub4dc \uc0c9\uc778<\/h2>\n    <div class=\"layer-index\">\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L0<\/span>Site &amp; Facility<\/div>\n        <div class=\"keywords-list\">Site Selection, Power Grid Interconnection, Land Use\/Zoning, Building Structure, Floor Loading, Seismic Design, Tier Classification (Uptime III\/IV), Modular\/Prefab DC, AI Factory, AI Campus, Multi-building<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L1<\/span>Power<\/div>\n        <div class=\"keywords-list\">Grid Connection (154\/345 kV), Substation, UPS (Li-ion\/Flywheel\/BESS), Backup Power (Diesel\/Gas Turbine), On-site Generation (SMR\/Fuel Cell\/Solar PPA), Power Distribution (Busway\/PDU\/Rack PDU), 415V\/480V \u2192 800V HVDC, Power Density, PUE\/pPUE, Power Capping\/Shedding, Stranded Power, RE100\/PPA\/REC<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L2<\/span>Cooling<\/div>\n        <div class=\"keywords-list\">Air Cooling (CRAC\/CRAH, Hot\/Cold Aisle, Containment), Liquid Cooling (D2C, Cold Plate), Immersion (Single\/Two-phase), RDHx, CDU, FWS\/TCS, Dry Cooler, Cooling Tower, Adiabatic, Refrigerant\/Dielectric Fluid, WUE, Free Cooling, Waste Heat Reuse<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L3<\/span>Compute<\/div>\n        <div class=\"keywords-list\">GPU (H100\/H200\/B100\/B200\/GB200\/Rubin), Accelerators (TPU\/Trainium\/Gaudi\/Groq\/Cerebras\/SambaNova\/FuriosaAI\/Rebellions), CPU (Grace\/EPYC\/Xeon\/ARM), DPU\/IPU (BlueField\/Pensando), Form Factor (HGX\/MGX\/DGX\/Open Rack\/OCP), Rack-Scale (NVL72\/NVL36), Heterogeneous (Ninja Gap), HBM3\/HBM3e\/HBM4\/CXL\/GDDR, Computational Storage<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L4<\/span>Network<\/div>\n        <div class=\"keywords-list\">Scale-Up (NVLink\/NVSwitch\/Infinity Fabric\/UALink), Scale-Out (InfiniBand NDR\/XDR, RoCEv2, Ultra Ethernet), Topology (Fat-tree\/Dragonfly\/Rail-optimized\/Spectrum-X), Optics (800G\/1.6T\/LPO\/CPO), DCI, Collective (NCCL\/RCCL\/SHARP), Congestion (DCQCN\/HPCC), Telemetry\/INT<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L5<\/span>Storage HW<\/div>\n        <div class=\"keywords-list\">Parallel FS (Lustre\/GPFS\/BeeGFS\/WekaFS\/VAST\/DDN), Object (S3\/Ceph\/MinIO), Tiered (Hot\/Warm\/Cold\/Tape), GPUDirect Storage, Checkpoint Storage, Caching (Alluxio\/JuiceFS)<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L6<\/span>Cluster Management<\/div>\n        <div class=\"keywords-list\">K8s (Vanilla\/OpenShift\/Rancher), Multi-cluster (Karmada), Edge (K3s), Slurm\/Volcano\/Kueue\/Ray\/KubeRay, Argo\/Airflow\/Dagster\/Flyte, GPU Operator\/MIG\/MPS\/HAMi\/Run:ai, Topology-aware\/Gang Scheduling, Resource Governance (SQUAD\/Commons), Provisioning (Tinkerbell\/Metal\u00b3), GitOps (ArgoCD\/Flux), Autoscaler\/Karpenter<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L7<\/span>AI\/ML Platform<\/div>\n        <div class=\"keywords-list\">Training (FSDP\/DeepSpeed\/Megatron-LM\/DP-TP-PP-EP-SP\/FP8\/W&amp;B), Inference (vLLM\/TensorRT-LLM\/SGLang\/llm-d\/Triton\/KServe\/Dynamo\/PD Disaggregation\/KV Cache\/Speculative\/Quantization\/MoE\/Heterogeneous\/Multi-LoRA\/LiteLLM), Model Mgmt (MLflow\/HF\/Foundry\/Feast\/Milvus\/Neo4j\/DVC), MLOps (Kubeflow\/HELM\/Guardrails\/Langfuse\/Arize), Agent (LangGraph\/AutoGen\/MCP\/Temporal\/E2B)<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L8<\/span>Data Platform<\/div>\n        <div class=\"keywords-list\">Ingestion (Kafka\/Pulsar\/Debezium\/Airbyte), Lakehouse (Delta\/Iceberg\/Hudi\/Trino), Processing (Spark\/Ray Data\/Flink), DataOps (Data Mesh\/Contracts\/DataHub\/Atlan)<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L9<\/span>Storage Software<\/div>\n        <div class=\"keywords-list\">Parallel FS (Lustre\/GPFS\/WekaFS\/VAST\/DAOS), Cloud-Native (Ceph\/Rook\/OpenEBS\/Longhorn\/Portworx\/MinIO), AI-Specific (GDS\/NVMe-oF\/Alluxio\/JuiceFS\/Fluid\/CheckFreq)<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L10<\/span>Network Software<\/div>\n        <div class=\"keywords-list\">SDN\/Fabric (UFM\/Cumulus\/SONiC\/FRR\/BGP-EVPN\/NetBox), K8s Networking (Calico\/Cilium\/Multus\/SR-IOV CNI\/RDMA CNI), eBPF, Service Mesh (Istio\/Linkerd\/Ambient), RDMA\/Collective (NCCL\/RCCL\/oneCCL\/SHARP\/libfabric\/UCX), DCQCN\/PFC\/ECN<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L11<\/span>Observability<\/div>\n        <div class=\"keywords-list\">Telemetry (Prometheus\/Thanos\/Mimir\/Loki\/Tempo\/OpenTelemetry), eBPF (Pixie\/Parca\/Coroot), GPU (DCGM\/Nsight\/MFU\/PyTorch Profiler), DCIM (EcoStruxure\/Vertiv\/Sunbird\/BACnet), Digital Twin (Omniverse\/Cadence Reality), AIOps (Anomaly Detection\/Predictive Maintenance\/Causal RCA\/Self-healing)<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L12<\/span>Security<\/div>\n        <div class=\"keywords-list\">IAM (Keycloak\/Okta\/SPIFFE\/Vault), Confidential AI (Intel TDX\/AMD SEV-SNP\/ARM CCA\/NVIDIA CC\/Keylime\/Veraison\/FHE\/MPC\/DP), Supply Chain (SBOM\/Sigstore\/in-toto\/Falco\/Tetragon\/Trivy\/OPA\/Kyverno), AI Security (Adversarial\/Prompt Injection\/PII\/Watermarking\/C2PA)<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L13<\/span>Developer Experience<\/div>\n        <div class=\"keywords-list\">IDP (Backstage\/Port\/Cortex), AI-Native DevEx (JupyterHub\/Hex\/Deepnote\/Claude Code\/Cursor\/SDD Infra\/Coding Agent Infra), Self-Service Portal<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L14<\/span>FinOps<\/div>\n        <div class=\"keywords-list\">Cost Attribution (per-team\/job\/token), Showback\/Chargeback, Spot\/Preemptible, Token Economics, Reserved Capacity, Kubecost\/OpenCost\/CloudZero\/Vantage<\/div>\n      <\/div>\n      <div class=\"layer-row\">\n        <div class=\"key\"><span class=\"num\">L15<\/span>Service\/Product<\/div>\n        <div class=\"keywords-list\">Service Models (IaaS\/CaaS\/PaaS\/MaaS\/AaaS\/FaaS for AI), Sovereign (Sovereign Cloud\/\uad6d\ub0b4 GPU \uc790\uae09\/\ub370\uc774\ud130 \uc8fc\uad8c\/\ub9dd\ubd84\ub9ac), Ecosystem (Neocloud\/Hyperscaler\/ISV)<\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Classical IDC\uc5d0\uc11c AIDC\ub85c \u2014 16-Layer \ud328\ub7ec\ub2e4\uc784 \uc804\ud658 Uptime\uc744 \uc784\ub300\ud558\ub358 \ubd80\ub3d9\uc0b0\uc774 \u2192 tokens\/watt\ub97c \uc0dd\uc0b0\ud558\ub294 \uacf5\uc7a5\uc774 \ub418\uc5c8\ub2e4 Classical IDC\uc640 AIDC\ub294 \uac19\uc740 \ub2e8\uc5b4 \ub450 \uac1c\ub85c \ubb36\uc774\uc9c0\ub9cc, \uc804\ub825\u00b7\ub0c9\uac01\u00b7\ub124\ud2b8\uc6cc\ud06c\u00b7\uc6b4\uc601 KPI\uac00 \uc0ac\uc2e4\uc0c1 \ub2e4\ub978 \uc6b4\uc601 \uccb4\uacc4\ub2e4 \u2014<span class=\"more-button\"><a href=\"http:\/\/kyunam.com\/?p=957\" class=\"more-link\">\uc77d\uc5b4 \ubcfc\uae4c?<span class=\"screen-reader-text\">AIDC\uc778\uac00? AI Token Factory \uc778\uac00?<\/span><\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":958,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[309,72],"tags":[331,321,322,320,325,345,334,342,329,341,338,327,337,185,340,343,344,339,328,336,335,332,346,330,306,326,333],"class_list":["post-957","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-gpgpu","tag-800v-hvdc","tag-ai-data-center","tag-ai-factory","tag-aidc","tag-classical-idc","tag-confidential-computing","tag-d2c-","tag-digital-twin","tag-gb200","tag-gpu-","tag-gpudirect-storage","tag-idc-aidc-","tag-infiniband","tag-kubernetes","tag-mlops","tag-naicc","tag-neocloud","tag-nvidia-dynamo","tag-nvl72","tag-nvlink","tag-pue","tag-smr","tag-sovereign-ai","tag-vera-rubin","tag-vllm","tag-326","tag-333"],"_links":{"self":[{"href":"http:\/\/kyunam.com\/index.php?rest_route=\/wp\/v2\/posts\/957","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/kyunam.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/kyunam.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/kyunam.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/kyunam.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=957"}],"version-history":[{"count":3,"href":"http:\/\/kyunam.com\/index.php?rest_route=\/wp\/v2\/posts\/957\/revisions"}],"predecessor-version":[{"id":966,"href":"http:\/\/kyunam.com\/index.php?rest_route=\/wp\/v2\/posts\/957\/revisions\/966"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/kyunam.com\/index.php?rest_route=\/wp\/v2\/media\/958"}],"wp:attachment":[{"href":"http:\/\/kyunam.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=957"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/kyunam.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=957"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/kyunam.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=957"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}