{"id":34071,"date":"2026-06-30T05:36:19","date_gmt":"2026-06-30T03:36:19","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/meta-vistara-ddr4-ddr5-server-ai-cxl\/"},"modified":"2026-06-30T05:36:20","modified_gmt":"2026-06-30T03:36:20","slug":"meta-vistara-ddr4-ddr5-server-ai-cxl","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/meta-vistara-ddr4-ddr5-server-ai-cxl\/","title":{"rendered":"Meta Vistara riusa DDR4 nei nuovi server e taglia fino al 25% i sistemi per l&#8217;inferenza AI"},"content":{"rendered":"\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Bebas+Neue&amp;family=DM+Sans:ital,wght@0,300;0,400;0,500;0,600;0,700;1,400&amp;display=swap\" rel=\"stylesheet\">\n<style>\n  :root {\n    --red: #CC1B1B;\n    --red-light: rgba(204,27,27,0.08);\n    --red-mid: #e84040;\n    --accent-soft-bg: rgba(204,27,27,0.07);\n    --accent-soft-border: rgba(204,27,27,0.18);\n    --text: #1a1a1a;\n    --text-muted: #666;\n    --card: #ffffff;\n    --border: #ebebeb;\n    --page-bg: #ffffff;\n    --surface-soft: #fafafa;\n    --surface-contrast: #f0f0f0;\n    --line-soft: #f5f5f5;\n    --soft-label: #bbb;\n    --muted-label: #999;\n    --copy: #333;\n    --font-head: 'Bebas Neue', sans-serif;\n    --font-body: 'DM Sans', sans-serif;\n    --heading-spacing: 0.04em;\n    --heading-weight: 400;\n    --spec-header-spacing: 0.08em;\n    --quickfacts-shadow: 0 10px 24px rgba(15,23,42,0.06);\n  }\n  .fbp5-wrap,.fbp5-wrap * { box-sizing:border-box; margin:0; padding:0; }\n  .fbp5-wrap { font-family:var(--font-body); color:var(--text); line-height:1.7; max-width:860px; margin:0 auto; padding:0 24px 80px; display:flex; flex-direction:column; gap:52px; }\n  .fbp5-wrap[data-rh-site-profile=\"klav\"] { padding:24px 24px 80px; background:var(--page-bg); border-radius:24px; }\n  .fbp5-intro { padding-top:36px; border-top:3px solid var(--red); }\n  .fbp5-intro p { font-size:17px; color:var(--copy); line-height:1.85; margin-bottom:18px; }\n  .fbp5-intro strong { color:var(--text); font-weight:700; }\n  .rh-phonebox { background:var(--card); border:2.5px solid var(--red); border-radius:16px; overflow:hidden; margin:4px 0 0; }\n  .rh-phonebox-topbar,.rh-phonebox-bottombar { height:4px; background:linear-gradient(90deg,var(--red),var(--red-mid),var(--red)); }\n  .rh-phonebox-header { padding:24px 28px; background:var(--surface-soft); border-bottom:1px solid var(--border); display:flex; align-items:flex-start; gap:24px; }\n  .rh-phonebox-hero { width:200px; height:267px; flex-shrink:0; overflow:hidden; border-radius:12px; background:var(--surface-contrast); display:flex; align-items:center; justify-content:center; }\n  .rh-phonebox-hero img { width:100%; height:100%; object-fit:cover; display:block; }\n  .rh-phonebox-header-main { flex:1; display:flex; flex-direction:column; gap:12px; min-width:0; }\n  .rh-phonebox-tag { display:inline-flex; align-items:center; gap:8px; width:fit-content; font-size:11px; font-weight:700; letter-spacing:0.1em; text-transform:uppercase; color:var(--red); background:var(--accent-soft-bg); border:1px solid var(--accent-soft-border); border-radius:100px; padding:4px 12px; }\n  .rh-phonebox-tag-icon, .rh-phonebox-hl-icon, .rh-phonebox-section-icon { font-family:\"Apple Color Emoji\",\"Segoe UI Emoji\",\"Noto Color Emoji\",\"Segoe UI Symbol\",sans-serif; }\n  .rh-phonebox-tag-icon { font-size:12px; line-height:1; }\n  .rh-phonebox-title { font-family:var(--font-head); font-size:clamp(24px,3.5vw,38px); line-height:1; 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line-height:1.3; color:var(--soft-label); }\n  .rh-phonebox-colors { padding:12px 28px; background:var(--surface-soft); border-bottom:1px solid var(--border); display:flex; align-items:center; gap:8px; flex-wrap:wrap; }\n  .rh-phonebox-colors-label { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--soft-label); }\n  .rh-phonebox-color-chip { display:inline-flex; align-items:center; gap:6px; background:#fff; border:1.5px solid var(--border); border-radius:100px; padding:4px 12px 4px 6px; font-size:13px; color:var(--text); }\n  .rh-phonebox-color-dot { width:12px; height:12px; border-radius:50%; border:1px solid rgba(0,0,0,0.1); display:inline-block; flex-shrink:0; }\n  .rh-phonebox-section { border-bottom:1px solid var(--line-soft); display:grid; grid-template-columns:180px minmax(0,1fr); }\n  .rh-phonebox-section:last-of-type { border-bottom:none; }\n  .rh-phonebox-section-label { padding:18px 20px 18px 28px; background:var(--surface-soft); 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grid-template-columns:repeat(auto-fit,minmax(260px,1fr)); }\n  .rh-affbox-col { padding:22px 24px; }\n  .rh-affbox-col:not(:last-child) { border-right:1px solid var(--line-soft); }\n  .rh-affbox-model { font-family:var(--font-head); font-size:22px; color:var(--text); letter-spacing:0.02em; margin-bottom:4px; line-height:1; }\n  .rh-affbox-model span { color:var(--red); }\n  .rh-affbox-from { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--soft-label); margin-bottom:2px; }\n  .rh-affbox-amount { font-family:var(--font-head); font-size:36px; color:var(--red); letter-spacing:0.02em; line-height:1; margin-bottom:14px; }\n  .rh-affbox-ctas { display:flex; flex-direction:column; gap:8px; margin-bottom:14px; }\n  .rh-affbox-cta { display:inline-flex; align-items:center; justify-content:center; gap:8px; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:100px; padding:11px 22px; font-size:14px; font-weight:600; white-space:nowrap; }\n  .rh-affbox-cta.secondary { background:var(--text); }\n  .rh-affbox-cta svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-affbox-coupon { display:flex; align-items:center; justify-content:space-between; gap:12px; border:1px dashed var(--accent-soft-border); background:var(--accent-soft-bg); border-radius:12px; padding:10px 12px; margin:0 0 12px; }\n  .rh-affbox-coupon-label { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-affbox-coupon-code { font-family:var(--font-head); font-size:22px; line-height:1; color:var(--text); letter-spacing:0.03em; }\n  .rh-affbox-promo { font-size:12px; color:var(--text-muted); line-height:1.5; border-top:1px solid var(--line-soft); padding-top:12px; margin-top:2px; }\n  .rh-affbox-promo strong { color:var(--red); font-weight:600; }\n  .rh-affbox-disclaimer { margin-top:10px; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-downloadjump { margin:-28px 0 0; display:flex; align-items:center; justify-content:space-between; gap:14px; background:#fff; border:1px solid var(--accent-soft-border); border-radius:16px; padding:13px 15px; box-shadow:var(--quickfacts-shadow); }\n  .rh-downloadjump strong { display:block; font-size:12px; font-weight:900; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); line-height:1.2; }\n  .rh-downloadjump span { display:block; margin-top:3px; font-size:13px; color:var(--text-muted); line-height:1.35; }\n  .rh-downloadjump a { display:inline-flex; align-items:center; justify-content:center; flex-shrink:0; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:9px 14px; font-size:13px; font-weight:800; }\n  .rh-downloadbox { margin:4px 0 0; }\n  .rh-downloadbox-wrap { background:linear-gradient(135deg,var(--accent-soft-bg),#fff); border:1px solid var(--accent-soft-border); border-radius:18px; padding:20px; box-shadow:var(--quickfacts-shadow); }\n  .rh-downloadbox-head { display:flex; justify-content:space-between; align-items:flex-start; gap:16px; margin-bottom:14px; }\n  .rh-downloadbox-kicker { font-size:11px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:6px; }\n  .rh-downloadbox-title { font-family:var(--font-head); font-size:clamp(24px,3.4vw,34px); line-height:1; color:var(--text); letter-spacing:var(--heading-spacing); margin:0; }\n  .rh-downloadbox-count { flex-shrink:0; border:1px solid var(--accent-soft-border); background:#fff; color:var(--red); border-radius:999px; padding:6px 10px; font-size:11px; font-weight:800; text-transform:uppercase; }\n  .rh-downloadbox-links { display:flex; flex-wrap:wrap; gap:10px; }\n  .rh-downloadbox-link { display:inline-flex; align-items:center; justify-content:center; gap:8px; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:14px; font-weight:700; }\n  .rh-downloadbox-link svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-downloadbox-note { margin:14px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-offerbox { margin:4px 0 0; }\n  .rh-offerbox-wrap { background:linear-gradient(135deg,var(--accent-soft-bg),#fff); border:1px solid var(--accent-soft-border); border-radius:18px; padding:20px; box-shadow:var(--quickfacts-shadow); }\n  .rh-offerbox-head { display:flex; justify-content:space-between; align-items:flex-start; gap:16px; margin-bottom:14px; }\n  .rh-offerbox-kicker { font-size:11px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:6px; }\n  .rh-offerbox-title { font-family:var(--font-head); font-size:clamp(24px,3.4vw,34px); line-height:1; color:var(--text); letter-spacing:var(--heading-spacing); margin:0; }\n  .rh-offerbox-count { flex-shrink:0; border:1px solid var(--accent-soft-border); background:#fff; color:var(--red); border-radius:999px; padding:6px 10px; font-size:11px; font-weight:800; text-transform:uppercase; }\n  .rh-offerbox-links { display:grid; grid-template-columns:repeat(auto-fit,minmax(220px,1fr)); gap:10px; }\n  .rh-offerbox-link { display:flex; align-items:center; justify-content:center; gap:8px; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:14px; font-weight:800; text-align:center; }\n  .rh-offerbox-link small { opacity:.82; font-size:11px; font-weight:700; }\n  .rh-offerbox-link svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-offerbox-note { margin:14px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-offer-inline { margin:0; }\n  .rh-offer-inline-wrap { display:flex; align-items:center; justify-content:space-between; gap:16px; background:var(--surface-soft); border:1px solid var(--accent-soft-border); border-left:4px solid var(--red); border-radius:16px; padding:16px 18px; box-shadow:var(--quickfacts-shadow); }\n  .rh-offer-inline-kicker { font-size:10px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:4px; }\n  .rh-offer-inline-title { font-size:15px; line-height:1.35; color:var(--text); font-weight:800; }\n  .rh-offer-inline-store { margin-top:3px; font-size:12px; color:var(--text-muted); font-weight:700; }\n  .rh-offer-inline-cta { display:inline-flex; align-items:center; justify-content:center; gap:8px; flex-shrink:0; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:13px; font-weight:800; white-space:nowrap; }\n  .rh-offer-inline-cta svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-offer-inline-note { margin:9px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-external-embed { margin:4px 0 0; }\n  .rh-external-embed-wrap { width:100%; background:#fff; border:1px solid var(--border); border-radius:16px; overflow:hidden; box-shadow:var(--quickfacts-shadow); }\n  .rh-external-embed-head { display:flex; align-items:center; justify-content:space-between; gap:12px; padding:14px 18px; background:var(--surface-soft); border-bottom:1px solid var(--border); }\n  .rh-external-embed-kicker { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-external-embed-source { font-size:12px; color:var(--soft-label); }\n  .rh-external-embed-frame { position:relative; aspect-ratio:16 \/ 9; overflow:hidden; background:#000; min-height:0; }\n  .rh-external-embed-frame iframe, .rh-external-embed-frame > iframe { position:absolute !important; inset:0; width:100% !important; height:100% !important; min-height:0 !important; max-height:none !important; max-width:none !important; border:0; display:block; }\n  .rh-external-embed-body { padding:18px 20px; display:grid; gap:12px; }\n  .rh-external-embed-title { font-family:var(--font-head); font-size:24px; line-height:1; color:var(--text); letter-spacing:0.02em; }\n  .rh-external-embed-copy { font-size:14px; color:var(--text-muted); line-height:1.6; }\n  .rh-external-embed-link { display:inline-flex; align-items:center; gap:8px; width:fit-content; color:var(--red) !important; text-decoration:none !important; font-weight:700; }\n  .rh-external-embed-link svg { width:13px; height:13px; flex-shrink:0; }\n  .fbp5-section { display:flex; flex-direction:column; gap:0; }\n  .fbp5-section-label { display:inline-flex; align-items:center; gap:7px; font-size:11px; font-weight:700; letter-spacing:0.14em; text-transform:uppercase; color:var(--red); margin-bottom:10px; }\n  .fbp5-section-label::before { content:''; display:block; width:18px; height:2px; background:var(--red); }\n  .fbp5-section h2 { font-family:var(--font-head); font-size:clamp(27px,4vw,39px); letter-spacing:var(--heading-spacing); font-weight:var(--heading-weight); color:var(--text); line-height:1.05; margin-bottom:20px; }\n  .fbp5-section h2 span { color:var(--red); }\n  .fbp5-section p { font-size:17px; color:var(--copy); line-height:1.78; margin-bottom:14px; }\n  .fbp5-bullet-list { margin:18px 0 6px 20px; padding:0; display:flex; flex-direction:column; gap:10px; }\n  .fbp5-bullet-list li { font-size:16px; line-height:1.7; color:#1f2937; }\n  .fbp5-bullet-list li::marker { color:var(--red); }\n  .rh-quickfacts-grid { margin:18px 0 0; display:grid; grid-template-columns:repeat(auto-fit,minmax(220px,1fr)); gap:12px; }\n  .rh-quickfacts-card { background:#fff; border:1px solid var(--border); border-radius:16px; padding:14px 16px; box-shadow:var(--quickfacts-shadow); display:flex; flex-direction:column; gap:6px; }\n  .rh-quickfacts-label { font-size:12px; font-weight:800; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-quickfacts-value { font-size:15px; line-height:1.6; color:#1f2937; }\n  .fbp5-highlight { background:var(--red-light); border-left:4px solid var(--red); border-radius:0 10px 10px 0; padding:15px 19px; margin:18px 0 0; font-size:16px; color:var(--copy); line-height:1.65; }\n  .fbp5-info { background:var(--surface-soft); border:1px solid var(--border); border-radius:10px; padding:15px 19px; margin:18px 0 0; font-size:15px; color:var(--text-muted); line-height:1.65; }\n  .fbp5-scheda { background:var(--card); border:1px solid var(--border); border-radius:14px; overflow:hidden; margin:20px 0 0; }\n  .fbp5-scheda-header { background:var(--red); color:#fff; padding:14px 20px; font-family:var(--font-head); font-size:20px; font-weight:var(--heading-weight); letter-spacing:var(--spec-header-spacing); }\n  .fbp5-scheda-row { display:flex; border-bottom:1px solid var(--border); }\n  .fbp5-scheda-row:last-child { border-bottom:none; }\n  .fbp5-scheda-key { width:42%; padding:11px 16px; font-size:13px; font-weight:700; color:var(--text-muted); text-transform:uppercase; letter-spacing:0.06em; background:var(--surface-soft); flex-shrink:0; }\n  .fbp5-scheda-val { padding:11px 16px; font-size:14px; color:var(--text); font-weight:500; line-height:1.5; }\n  @media(max-width:600px) {\n    .fbp5-wrap { padding:0 14px 60px; gap:40px; }\n    .fbp5-section h2 { font-size:32px; }\n    .fbp5-scheda-row { flex-direction:column; }\n    .fbp5-scheda-key { width:100%; }\n    .rh-phonebox-header { padding:18px 16px; flex-direction:column; align-items:center; }\n    .rh-phonebox-hero { width:150px; height:200px; }\n    .rh-phonebox-highlights { grid-template-columns:repeat(2,minmax(0,1fr)); }\n    .rh-phonebox-colors { padding:16px; }\n    .rh-phonebox-section { grid-template-columns:1fr; }\n    .rh-phonebox-section-label { padding:14px 20px; border-right:none; border-bottom:1px solid var(--border); }\n    .rh-phonebox-section-values { padding:14px 20px; }\n    .rh-affbox-grid { grid-template-columns:1fr; }\n    .rh-affbox-col:not(:last-child) { border-right:none; border-bottom:1px solid var(--line-soft); }\n    .rh-affbox-cta { width:100%; }\n    .rh-downloadjump { align-items:flex-start; flex-direction:column; margin:-22px 0 0; }\n    .rh-downloadjump a { width:100%; }\n    .rh-downloadbox-head { flex-direction:column; }\n    .rh-downloadbox-link { width:100%; }\n    .rh-offerbox-head { flex-direction:column; }\n    .rh-offerbox-links { grid-template-columns:1fr; }\n    .rh-offer-inline-wrap { flex-direction:column; align-items:flex-start; }\n    .rh-offer-inline-cta { width:100%; }\n  }\n\n  \/* RH_FBP5_CARDS_CSS_V1 *\/\n  .fbp5-related-grid { display:grid; grid-template-columns:repeat(3,1fr); gap:14px; }\n  .fbp5-telegram-grid { grid-template-columns:repeat(2,1fr); }\n  .fbp5-related-card { display:block; overflow:hidden; border:1px solid var(--border,#ebebeb); border-radius:8px; background:var(--card,#fff); color:inherit !important; text-decoration:none !important; transition:transform .18s ease, box-shadow .18s ease, border-color .18s ease; }\n  .fbp5-related-card:hover { transform:translateY(-2px); border-color:rgba(204,27,27,.35); box-shadow:0 16px 36px rgba(18,18,18,.10); }\n  .fbp5-related-card img { display:block; width:100%; aspect-ratio:16\/9; object-fit:cover; background:var(--surface-soft,#fafafa); }\n  .fbp5-related-thumb-placeholder { width:100%; aspect-ratio:16\/9; display:flex; align-items:center; justify-content:center; background:linear-gradient(135deg,rgba(204,27,27,.10),rgba(204,27,27,.03)); color:var(--red,#CC1B1B); font-family:var(--font-head,'Bebas Neue',sans-serif); font-size:28px; letter-spacing:.04em; }\n  .fbp5-related-body { padding:12px; }\n  .fbp5-related-body span { display:block; margin:0 0 6px; color:var(--red,#CC1B1B); font-size:11px; font-weight:900; letter-spacing:.08em; text-transform:uppercase; }\n  .fbp5-related-body strong { display:block; font-size:15px; line-height:1.25; color:var(--text,#1a1a1a); }\n  .fbp5-related-body small { display:block; margin:7px 0 0; color:var(--text-muted,#666); font-size:13px; line-height:1.35; }\n  @media(max-width:720px) {\n    .fbp5-telegram-grid { grid-template-columns:1fr; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) { grid-template-columns:1fr; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-card { display:grid; grid-template-columns:112px minmax(0,1fr); align-items:stretch; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-card img,\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-thumb-placeholder { height:100%; min-height:92px; aspect-ratio:auto; }\n  }\n<\/style>\n<div class=\"fbp5-wrap rh-json-article\" id=\"rh-article-mr03gnq4-jtxb5\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>Meta ha presentato Vistara, una soluzione proprietaria pensata per riutilizzare la memoria DDR4 recuperata da vecchi server all&#8217;interno di nuove macchine basate su DDR5. L&#8217;obiettivo e ridurre l&#8217;acquisto di nuovo hardware, aumentare la capacita di memoria disponibile e contenere costi e consumi in uno scenario in cui la memoria resta una risorsa critica.<\/p><p>Il sistema e gia in produzione su scala molto ampia e viene usato in diversi carichi di lavoro, dall&#8217;inferenza AI al caching distribuito. I numeri comunicati da Meta sono rilevanti: nei sistemi di inferenza machine learning disaggregata il fabbisogno di server puo calare fino al <strong>25%<\/strong>.<\/p>\n  <\/div><div class=\"rh-inline-gallery rh-inline-gallery-cols-4\" style=\"display:grid;grid-template-columns:repeat(4,minmax(0,1fr));gap:14px;margin:18px 0;position:relative;z-index:1\"><figure class=\"wp-block-image size-large\" style=\"margin:0;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/meta-vistara-riusa-ddr4-nei-nuovi-server-e-taglia-fino-al-25-i-sistemi-p-f0159d16-1b13-484a-8e25.png\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;height:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/meta-vistara-riusa-ddr4-nei-nuovi-server-e-taglia-fino-al-25-i-sistemi-p-f0159d16-1b13-484a-8e25.png\" alt=\"Meta \u590d\u7528\u62c6\u673a\u5185\u5b58\uff1a3:1 \u642d\u914d DDR5\/DDR4\uff0c\u63a8\u7406 AI \u6240\u9700\u670d\u52a1\u5668\u6700\u591a\u51cf\u5c11 25%\" loading=\"lazy\" style=\"display:block;width:100%;height:auto;pointer-events:auto\"><\/a><\/figure><figure class=\"wp-block-image size-large\" style=\"margin:0;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/meta-vistara-riusa-ddr4-nei-nuovi-server-e-taglia-fino-al-25-i-sistemi-p-fecdfe7c-f507-4fb6-a7b0.png\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;height:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/meta-vistara-riusa-ddr4-nei-nuovi-server-e-taglia-fino-al-25-i-sistemi-p-fecdfe7c-f507-4fb6-a7b0.png\" alt=\"Meta \u590d\u7528\u62c6\u673a\u5185\u5b58\uff1a3:1 \u642d\u914d DDR5\/DDR4\uff0c\u63a8\u7406 AI \u6240\u9700\u670d\u52a1\u5668\u6700\u591a\u51cf\u5c11 25%\" loading=\"lazy\" style=\"display:block;width:100%;height:auto;pointer-events:auto\"><\/a><\/figure><figure class=\"wp-block-image size-large\" style=\"margin:0;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/meta-vistara-riusa-ddr4-nei-nuovi-server-e-taglia-fino-al-25-i-sistemi-p-8a48e856-48eb-495a-a05e.png\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;height:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/meta-vistara-riusa-ddr4-nei-nuovi-server-e-taglia-fino-al-25-i-sistemi-p-8a48e856-48eb-495a-a05e.png\" alt=\"Meta \u590d\u7528\u62c6\u673a\u5185\u5b58\uff1a3:1 \u642d\u914d DDR5\/DDR4\uff0c\u63a8\u7406 AI \u6240\u9700\u670d\u52a1\u5668\u6700\u591a\u51cf\u5c11 25%\" loading=\"lazy\" style=\"display:block;width:100%;height:auto;pointer-events:auto\"><\/a><\/figure><figure class=\"wp-block-image size-large\" style=\"margin:0;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/meta-vistara-riusa-ddr4-nei-nuovi-server-e-taglia-fino-al-25-i-sistemi-p-3e4c0220-23ac-4f6d-9705.png\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;height:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/meta-vistara-riusa-ddr4-nei-nuovi-server-e-taglia-fino-al-25-i-sistemi-p-3e4c0220-23ac-4f6d-9705.png\" alt=\"Meta \u590d\u7528\u62c6\u673a\u5185\u5b58\uff1a3:1 \u642d\u914d DDR5\/DDR4\uff0c\u63a8\u7406 AI \u6240\u9700\u670d\u52a1\u5668\u6700\u591a\u51cf\u5c11 25%\" loading=\"lazy\" style=\"display:block;width:100%;height:auto;pointer-events:auto\"><\/a><\/figure><\/div>\n  \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Panoramica<\/div>\n        <h2>Come funziona Vistara e perche Meta punta sul <span>riuso della DDR4<\/span><\/h2>\n        <p>L&#8217;idea alla base di Vistara e semplice: la vita utile prevista di un server e in genere di 3-5 anni, mentre i moduli di memoria possono continuare a essere usati per <strong>7-10 anni<\/strong>. Meta estrae quindi i DIMM DDR4 dai server dismessi e li collega a nuove piattaforme che usano DDR5, creando un pool di memoria condivisa tramite una soluzione CXL sviluppata internamente.<\/p><p>Per farlo Meta ha progettato un ASIC proprietario compatibile con CXL 2.0 e 1.1, collegato tramite interfaccia PCIe Gen5 x16. In questo modo la DDR4 viene bridgeata verso il processore host, evitando i limiti di molte soluzioni CXL tradizionali, che spesso integrano DRAM e controller nello stesso pacchetto, non permettono il riuso dei DIMM e non supportano direttamente la DDR4.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Riutilizzo di moduli <strong>DDR4<\/strong> provenienti da server dismessi.<\/li><li>Integrazione con nuove piattaforme che usano <strong>DDR5<\/strong> come memoria locale.<\/li><li>Uso di una soluzione CXL proprietaria per costruire memoria espansa e condivisa.<\/li><li>Riduzione della necessita di acquistare nuova memoria in un contesto di disponibilita limitata e costi elevati.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Standard supportati<\/div>\n        <div class=\"rh-quickfacts-value\">CXL 2.0 e 1.1<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Interfaccia host<\/div>\n        <div class=\"rh-quickfacts-value\">PCIe Gen5 x16<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Memoria riutilizzata<\/div>\n        <div class=\"rh-quickfacts-value\">DDR4 DIMM da server dismessi<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il punto forte di Vistara e il riuso diretto della DDR4 esistente, invece di trattare la memoria come un componente da sostituire insieme al server.<\/div>\n        <div class=\"fbp5-info\">Meta abbina il progetto hardware a ottimizzazioni software basate su Transparent Page Placement, regolando il rapporto tra memoria locale e memoria espansa in base al carico di lavoro.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Dati chiave dell&#8217;architettura Vistara<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Tipo di chip<\/div>\n            <div class=\"fbp5-scheda-val\">ASIC proprietario CXL<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Canali memoria per chip<\/div>\n            <div class=\"fbp5-scheda-val\">2 canali DDR4 indipendenti da 72 bit<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Velocita memoria supportata<\/div>\n            <div class=\"fbp5-scheda-val\">Fino a 3200 MT\/s<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Capacita massima per chip<\/div>\n            <div class=\"fbp5-scheda-val\">256 GB con DIMM da 64 GB<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Implementazione<\/div>\n        <h2>Dall&#8217;hardware ai risultati: dove Vistara viene usato e <span>quali vantaggi porta<\/span><\/h2>\n        <p>Meta ha installato questa architettura in sistemi chiamati MemServer. Ogni unita adotta un processore AMD Turin con <strong>158 core e 316 thread<\/strong>, usa memoria DDR5 locale e aggiunge 256 GB di DDR4 tramite il chip Vistara. La scheda CXL viene montata in uno slot dedicato nella parte posteriore del telaio, con raffreddamento mirato tramite ventole ad alta portata.<\/p><p>La piattaforma e gia stata portata in produzione su milioni di server nei data center Meta. Gli impieghi indicati includono inferenza machine learning disaggregata, big data, database, cache distribuite e sistemi di build CI\/CD. Nei test riportati, l&#8217;inferenza AI e l&#8217;area dove il vantaggio infrastrutturale emerge con piu chiarezza, grazie alla possibilita di ridurre il numero complessivo di server necessari.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Una singola unita MemServer combina DDR5 locale e <strong>256 GB di DDR4<\/strong> collegata via Vistara.<\/li><li>Il sistema e gia distribuito su <strong>milioni di server<\/strong> in ambienti hyperscale.<\/li><li>Nei carichi di inferenza machine learning disaggregata il numero di server richiesti puo diminuire fino al 25%.<\/li><li>Nel caching distribuito la latenza media puo ridursi del 29%.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Processore del MemServer<\/div>\n        <div class=\"rh-quickfacts-value\">AMD Turin<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Core e thread<\/div>\n        <div class=\"rh-quickfacts-value\">158 core, 316 thread<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Aree d&#8217;uso dichiarate<\/div>\n        <div class=\"rh-quickfacts-value\">Inferenza AI, big data, database, cache distribuite, CI\/CD<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Per chi guarda all&#8217;infrastruttura AI, il dato piu interessante e che il recupero della DDR4 non resta un esercizio teorico, ma si traduce in meno server necessari per alcuni workload reali.<\/div>\n        <div class=\"fbp5-info\">La combinazione fra memoria locale DDR5 e memoria espansa DDR4 permette a Meta di estendere la capacita disponibile senza affidarsi esclusivamente a nuove forniture di DRAM.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Risultati operativi comunicati da Meta<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Riduzione massima dei server<\/div>\n            <div class=\"fbp5-scheda-val\">Fino al 25% nell&#8217;inferenza machine learning disaggregata<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Riduzione latenza media<\/div>\n            <div class=\"fbp5-scheda-val\">29% nel caching distribuito<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Stato del progetto<\/div>\n            <div class=\"fbp5-scheda-val\">Gia in produzione su scala hyperscale<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n<section class=\"fbp5-section\" data-rh-related-section=\"1\">\n      <div class=\"fbp5-section-label\">Articoli correlati<\/div>\n      <h2>Altre notizie <span>da leggere<\/span><\/h2>\n      <div class=\"fbp5-related-grid\"><a 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rgba(249,115,22,.20);box-shadow:0 8px 22px rgba(249,115,22,.08)\">Via<\/a><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Meta riutilizza la DDR4 dei vecchi server con Vistara, una soluzione CXL proprietaria gia in produzione su milioni di macchine.<\/p>\n","protected":false},"author":5,"featured_media":34070,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Meta Vistara DDR4 DDR5","footnotes":""},"categories":[480],"tags":[933,44],"class_list":["post-34071","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai","tag-smartphone"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Meta Vistara riusa DDR4 nei nuovi server e taglia fino al 25% i sistemi per l&#039;inferenza AI<\/title>\n<meta name=\"description\" content=\"Meta ha sviluppato Vistara, una soluzione CXL proprietaria che riutilizza memoria DDR4 da vecchi server insieme alla DDR5.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/meta-vistara-ddr4-ddr5-server-ai-cxl\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Meta Vistara riusa DDR4 nei nuovi server e taglia fino al 25% i sistemi per l&#039;inferenza AI\" \/>\n<meta property=\"og:description\" content=\"Meta ha sviluppato Vistara, una soluzione CXL proprietaria che riutilizza memoria DDR4 da vecchi server insieme alla DDR5.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.chinasmartbuy.com\/blog\/meta-vistara-ddr4-ddr5-server-ai-cxl\/\" \/>\n<meta property=\"og:site_name\" content=\"ChinaSmartBuy\" 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