{"id":38735,"date":"2026-07-20T22:00:00","date_gmt":"2026-07-20T20:00:00","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/?p=38735"},"modified":"2026-07-20T20:15:12","modified_gmt":"2026-07-20T18:15:12","slug":"google-frozen-v2-chip-ai-gemini","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/google-frozen-v2-chip-ai-gemini\/","title":{"rendered":"Google prepara Frozen v2, il chip AI dedicato a Gemini"},"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; 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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-mrtjocqk-h7c9c\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>Google sta lavorando a <strong>Frozen v2<\/strong>, un nuovo chip server dedicato all&#8217;intelligenza artificiale pensato per rendere pi\u00f9 efficiente l&#8217;esecuzione dei modelli Gemini. L&#8217;idea alla base \u00e8 piuttosto chiara: spostare direttamente nel silicio parte dell&#8217;architettura di calcolo del modello, cos\u00ec da ridurre consumi e latenza durante l&#8217;inferenza.<\/p><p>Il progetto nasce anche per rispondere a un problema concreto di capacit\u00e0 computazionale interna. Con Frozen v2, Google punta a ottenere prestazioni per watt da <strong>6 a 10 volte<\/strong> superiori rispetto agli attuali chip AI proprietari, con una possibile prima distribuzione non prima del 2028.<\/p>\n  <\/div>\n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Chip AI<\/div>\n        <h2>Frozen v2 punta su un design <span>specializzato per Gemini<\/span><\/h2>\n        <p>Frozen v2 non sar\u00e0 un chip general purpose come una GPU Nvidia o come gli attuali TPU usati in pi\u00f9 contesti, ma una soluzione costruita attorno alla famiglia Gemini. Il principio \u00e8 quello di incidere in hardware la logica di base del modello, eliminando una parte delle decisioni e dei passaggi che i chip pi\u00f9 generici devono gestire in tempo reale.<\/p><p>Questo approccio pu\u00f2 ridurre in modo sensibile sia il numero di operazioni sia il volume di dati da spostare durante l&#8217;inferenza. Il risultato atteso \u00e8 una risposta pi\u00f9 rapida alle richieste degli utenti e un miglior rapporto tra consumi energetici e lavoro svolto, due aspetti centrali per chi deve far girare modelli AI su larga scala.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li><strong>Frozen v2<\/strong> \u00e8 un chip server dedicato all&#8217;AI progettato specificamente per Gemini.<\/li><li>L&#8217;obiettivo \u00e8 abbassare consumi e latenza nelle attivit\u00e0 di inferenza.<\/li><li>Le prestazioni per watt attese sono da <strong>6 a 10 volte<\/strong> superiori rispetto agli attuali chip AI proprietari di Google.<\/li><li>Il chip non sostituir\u00e0 i TPU, ma aprir\u00e0 una linea di prodotto complementare.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Codename<\/div>\n        <div class=\"rh-quickfacts-value\">Frozen v2<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Destinazione<\/div>\n        <div class=\"rh-quickfacts-value\">Server AI per modelli Gemini<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">La differenza rispetto a GPU e TPU pi\u00f9 generici \u00e8 nel livello di specializzazione: Frozen v2 nasce per un modello preciso, non per gestire indistintamente qualsiasi workload AI.<\/div>\n        <div class=\"fbp5-info\">Google vede questo approccio come un modo per aprire nuovi scenari d&#8217;uso AI mantenendo tempi di risposta pi\u00f9 bassi e consumi pi\u00f9 controllati.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Dati chiave del progetto<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Architettura<\/div>\n            <div class=\"fbp5-scheda-val\">Parte della logica di base di Gemini fissata direttamente in hardware<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Beneficio atteso<\/div>\n            <div class=\"fbp5-scheda-val\">Meno passaggi di calcolo e minore movimentazione dei dati<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Focus operativo<\/div>\n            <div class=\"fbp5-scheda-val\">Inferenza AI pi\u00f9 efficiente<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Strategia<\/div>\n        <h2>Per Google il nodo \u00e8 la carenza di <span>potenza di calcolo<\/span><\/h2>\n        <p>Il progetto prende forma in un momento in cui Google sta affrontando una forte pressione sulla disponibilit\u00e0 di risorse AI. La carenza interna di capacit\u00e0 avrebbe gi\u00e0 inciso anche sull&#8217;attivit\u00e0 cloud, al punto da limitare la possibilit\u00e0 di accettare alcuni ordini esterni.<\/p><p>In questo contesto, Frozen v2 viene considerato come una risposta strutturale al collo di bottiglia computazionale. L&#8217;orizzonte temporale, per\u00f2, resta lungo: la prima implementazione \u00e8 prevista non prima del <strong>2028<\/strong>, segno che il chip \u00e8 ancora in una fase di definizione tecnica importante.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Il progetto nasce per affrontare la scarsit\u00e0 di risorse di calcolo AI.<\/li><li>Le tensioni sulla capacit\u00e0 disponibile hanno avuto impatto anche sul business cloud.<\/li><li>La prima distribuzione del chip \u00e8 attesa <strong>dal 2028 in poi<\/strong>.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Problema da risolvere<\/div>\n        <div class=\"rh-quickfacts-value\">Carenza di capacit\u00e0 AI interna<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Tempistica prevista<\/div>\n        <div class=\"rh-quickfacts-value\">Non prima del 2028<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Obiettivo strategico<\/div>\n        <div class=\"rh-quickfacts-value\">Alleggerire il collo di bottiglia sull&#8217;inferenza<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il dato pi\u00f9 importante non \u00e8 solo la velocit\u00e0, ma la possibilit\u00e0 di ottenere pi\u00f9 output utile per ogni watt consumato.<\/div>\n        <div class=\"fbp5-info\">Per un&#8217;infrastruttura AI di grandi dimensioni, migliorare l&#8217;efficienza energetica pu\u00f2 incidere direttamente su costi operativi, scalabilit\u00e0 e disponibilit\u00e0 del servizio.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Contesto operativo<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Ambito d&#8217;uso iniziale<\/div>\n            <div class=\"fbp5-scheda-val\">Infrastruttura server Google<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Impatto atteso<\/div>\n            <div class=\"fbp5-scheda-val\">Maggiore efficienza nel servire richieste AI su larga scala<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Rapporto con TPU<\/div>\n            <div class=\"fbp5-scheda-val\">Complementare, non sostitutivo<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Sviluppo<\/div>\n        <h2>Il nuovo approccio evita il limite che aveva bloccato la <span>prima versione<\/span><\/h2>\n        <p>Google aveva gi\u00e0 tentato in passato di portare il modello direttamente nel chip con una prima idea di Frozen guidata da Jeff Dean. In quel caso l&#8217;obiettivo era incidere direttamente nel silicio l&#8217;intero insieme dei pesi del modello, ma il risultato sarebbe stato un hardware vincolato a una sola versione di Gemini, con un ciclo di vita troppo breve per essere davvero pratico.<\/p><p>Frozen v2 cambia impostazione: non fissa pi\u00f9 i pesi completi del modello, ma solo la sua architettura di base, lasciando margine per aggiornare i pesi interni nel tempo. \u00c8 una scelta pi\u00f9 equilibrata, anche se comporta una scommessa precisa: le future evoluzioni di Gemini dovranno continuare a usare una struttura di fondo compatibile con quella prevista oggi dal chip.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>La prima idea di Frozen puntava a scrivere in hardware anche i pesi del modello.<\/li><li>Quel design era troppo rigido, perch\u00e9 compatibile con una sola versione di Gemini.<\/li><li><strong>Frozen v2<\/strong> mantiene aggiornabili i pesi, ma congela la logica architetturale di base.<\/li><li>Il team sta ancora definendo moduli principali e livello di specializzazione ottimale.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Tentativo precedente<\/div>\n        <div class=\"rh-quickfacts-value\">Chip con pesi del modello incisi direttamente nel silicio<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Limite principale<\/div>\n        <div class=\"rh-quickfacts-value\">Scarsa flessibilit\u00e0 e vita utile ridotta<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">La sfida \u00e8 trovare il punto giusto tra chip molto specializzato e possibilit\u00e0 di seguire l&#8217;evoluzione di Gemini nel tempo.<\/div>\n        <div class=\"fbp5-info\">Per ora non \u00e8 previsto un volume di produzione elevato: Google considera Frozen v2 anche come piattaforma sperimentale per accumulare esperienza in vista di chip AI ancora pi\u00f9 specializzati.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Evoluzione del progetto<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Prima generazione<\/div>\n            <div class=\"fbp5-scheda-val\">Troppo legata a una singola versione del modello<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Seconda generazione<\/div>\n            <div class=\"fbp5-scheda-val\">Maggiore equilibrio tra specializzazione hardware e aggiornabilit\u00e0<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Nodo tecnico aperto<\/div>\n            <div class=\"fbp5-scheda-val\">Quanto modello fissare in hardware senza perdere flessibilit\u00e0<\/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 class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/google-gemini-notebook-rinomina-notebooklm-supporto-codice\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/google-rinomina-notebooklm-in-gemini-notebook-e-aggiunge-il-supporto-al-d46a1167-2fdb-47e6-8484.webp\" alt=\"Google rinomina NotebookLM in Gemini Notebook e aggiunge il supporto al codice\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>google<\/span>\n        <strong>Google rinomina NotebookLM in Gemini Notebook e aggiunge il supporto al codice<\/strong>\n        <small>Google rinomina NotebookLM in Gemini Notebook e introduce un ambiente 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nell&#8217;efficienza.<\/p>\n","protected":false},"author":10,"featured_media":38734,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Google Frozen v2","footnotes":""},"categories":[480],"tags":[441],"class_list":["post-38735","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-google"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google prepara Frozen v2, il chip AI dedicato a Gemini<\/title>\n<meta name=\"description\" content=\"Google sviluppa Frozen v2, un chip AI specializzato per Gemini che punta a ridurre latenza e consumi con prestazioni per watt fino a 10 volte superiori.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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