{"id":34300,"date":"2026-06-30T18:27:54","date_gmt":"2026-06-30T16:27:54","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/xuyu-tpu-896-tflops-taize-2-0\/"},"modified":"2026-06-30T18:27:55","modified_gmt":"2026-06-30T16:27:55","slug":"xuyu-tpu-896-tflops-taize-2-0","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/xuyu-tpu-896-tflops-taize-2-0\/","title":{"rendered":"Xuyu, nuova TPU AI con 896 TFLOPS: debutta anche la piattaforma Taize 2.0"},"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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}\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; 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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-mr0v0yig-ny5j6\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>Zhonghao Xinying ha annunciato la nuova TPU proprietaria <strong>Xuyu<\/strong>, chip AI di nuova generazione pensato per carichi di training e inferenza ad alta densita. Il dato piu rilevante e la potenza di calcolo in floating point a precisione mista, che arriva a <strong>896 TFLOPS per singolo chip<\/strong>, con un salto di 3 volte rispetto alla generazione precedente.<\/p><p>Insieme al chip debutta anche la piattaforma di calcolo <strong>Taize 2.0<\/strong>, costruita come unita standard per infrastrutture AI ad alte prestazioni. Il sistema integra 8 TPU e promette 7,168P di potenza complessiva a precisione mista, con consumi dichiarati pari all&#8217;80% di un server GPU tradizionale a parita di compito.<\/p>\n  <\/div><figure class=\"wp-block-image size-large\" style=\"margin:18px 0;display:block;clear:both;width:100%;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/xuyu-nuova-tpu-ai-con-896-tflops-0824f1c2-388a-4911-9bbc-a240-1ucgqwf12h.webp\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width: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\/xuyu-nuova-tpu-ai-con-896-tflops-0824f1c2-388a-4911-9bbc-a240-1ucgqwf12h.webp\" alt=\"\u5355\u82af\u7247\u6df7\u5408\u7cbe\u5ea6\u6d6e\u70b9\u7b97\u529b\u8fbe 896TFLOPS\uff0c\u4e2d\u660a\u82af\u82f1\u65b0\u4e00\u4ee3 TPU \u82af\u7247\u300c\u987b\u81fe\u300d\u53d1\u5e03\" loading=\"lazy\" style=\"display:block;max-width:100%;height:auto;margin:0 auto;pointer-events:auto\"><\/a><\/figure>\n  \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Chip AI<\/div>\n        <h2>Xuyu punta su piu potenza per chip e inferenza 8-bit ad <span>alta densita<\/span><\/h2>\n        <p>Il nuovo acceleratore Xuyu e una TPU AI sviluppata internamente e progettata per scenari con grandi volumi di token e alta concorrenza in inferenza. Oltre ai <strong>896 TFLOPS<\/strong> in floating point a precisione mista, il chip raggiunge <strong>1792 TOPS<\/strong> in inferenza 8-bit, un dato che lo colloca chiaramente nel segmento delle soluzioni per grandi modelli linguistici e workload multimodali.<\/p><p>L&#8217;azienda indica anche un netto passo avanti sul fronte della memoria video e dell&#8217;interconnessione interna del chip, con supporto a contesti molto lunghi. La scheda ha un consumo nominale di <strong>600 W<\/strong> e viene presentata come piu efficiente delle tradizionali soluzioni per il calcolo AI, con una riduzione dei consumi fino al 50%.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Prestazioni a precisione mista per singolo chip fino a <strong>896 TFLOPS<\/strong><\/li><li>Inferenza 8-bit fino a <strong>1792 TOPS<\/strong><\/li><li>Prestazioni dichiarate triplicate rispetto al chip precedente Shana<\/li><li>Supporto a contesti lunghi grazie a miglioramenti di memoria e interconnessione<\/li><li>Potenza nominale per scheda di <strong>600 W<\/strong><\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Incremento prestazionale<\/div>\n        <div class=\"rh-quickfacts-value\">3 volte<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Target d&#8217;uso<\/div>\n        <div class=\"rh-quickfacts-value\">Inferenza ad alta concorrenza e grandi modelli<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il punto forte di Xuyu e il rapporto tra densita di calcolo e consumi, con numeri che puntano direttamente ai grandi carichi AI.<\/div>\n        <div class=\"fbp5-info\">L&#8217;architettura viene descritta come interamente sviluppata in casa, dal nucleo IP al set di istruzioni fino alle librerie di accelerazione e al software di sistema.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Dati chiave di Xuyu<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Tipo di chip<\/div>\n            <div class=\"fbp5-scheda-val\">TPU AI ad alte prestazioni<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Potenza floating point mista<\/div>\n            <div class=\"fbp5-scheda-val\">896 TFLOPS<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Potenza inferenza 8-bit<\/div>\n            <div class=\"fbp5-scheda-val\">1792 TOPS<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Consumo nominale scheda<\/div>\n            <div class=\"fbp5-scheda-val\">600 W<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Piattaforma<\/div>\n        <h2>Taize 2.0 combina 8 TPU in un nodo standard per training e <span>deployment dei modelli<\/span><\/h2>\n        <p>Taize 2.0 e la piattaforma di calcolo che accompagna il debutto del nuovo chip e rappresenta l&#8217;unita minima standard del sistema. La configurazione include due CPU ad alte prestazioni e <strong>8 unita TPU<\/strong>, organizzate come un server CPU generale affiancato da un apparato dedicato all&#8217;accelerazione AI.<\/p><p>La potenza complessiva raggiunge 7,168P a precisione mista. Sul lato software la piattaforma punta sulla compatibilita piena con i framework AI piu usati, con supporto nativo a PyTorch, vLLM e SGLang, oltre all&#8217;adattamento dei carichi di training tramite DeepSpeed e Megatron-LM. Sono gia stati adattati numerosi modelli, inclusi Qwen, DeepSeek, GLM e MiniMAX, facilitando la migrazione dei progetti esistenti.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Nodo standard composto da 2 CPU e <strong>8 TPU<\/strong><\/li><li>Potenza complessiva di <strong>7,168P<\/strong> a precisione mista<\/li><li>Consumi dichiarati pari all&#8217;80% di un server GPU tradizionale sullo stesso compito<\/li><li>Supporto nativo a PyTorch, vLLM e SGLang<\/li><li>Compatibilita training con DeepSpeed e Megatron-LM<\/li><li>Adattamento gia completato per decine di modelli linguistici e multimodali<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Struttura fisica<\/div>\n        <div class=\"rh-quickfacts-value\">Server CPU generale piu acceleratore TPU dedicato<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Framework supportati<\/div>\n        <div class=\"rh-quickfacts-value\">AI framework principali<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Modelli gia adattati<\/div>\n        <div class=\"rh-quickfacts-value\">Qwen, DeepSeek, GLM, MiniMAX e altri<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Taize 2.0 non punta solo ai numeri grezzi, ma anche a un&#8217;integrazione software gia pronta per i flussi AI reali.<\/div>\n        <div class=\"fbp5-info\">L&#8217;azienda posiziona la piattaforma anche in contesti dove contano requisiti di sicurezza e conformita, come amministrazione pubblica, finanza ed energia.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Specifiche principali di Taize 2.0<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">CPU<\/div>\n            <div class=\"fbp5-scheda-val\">2 processori ad alte prestazioni<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">TPU integrate<\/div>\n            <div class=\"fbp5-scheda-val\">8<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Potenza complessiva<\/div>\n            <div class=\"fbp5-scheda-val\">7,168P a precisione mista<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Efficienza energetica<\/div>\n            <div class=\"fbp5-scheda-val\">80% del consumo di un server GPU tradizionale a parita di compito<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Scenario<\/div>\n        <h2>Un lancio che guarda a indipendenza tecnologica e <span>adozione enterprise<\/span><\/h2>\n        <p>Uno degli elementi piu interessanti del lancio e l&#8217;approccio verticale: chip IP, set di istruzioni, librerie di accelerazione e software di sistema sono tutti sviluppati internamente. Questo riduce la dipendenza da tecnologie esterne e rende la proposta piu adatta a implementazioni enterprise dove continuita, controllo della piattaforma e conformita sono centrali.<\/p><p>Per chi segue il settore hardware AI, il lancio di Xuyu e Taize 2.0 e rilevante soprattutto per tre motivi concreti: aumento netto delle prestazioni per singolo chip, piattaforma gia pronta per l&#8217;uso con i framework piu diffusi e attenzione misurabile all&#8217;efficienza energetica. Restano da verificare sul campo prezzi, disponibilita commerciale e prestazioni in workload reali.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Sviluppo interno di hardware e software della piattaforma<\/li><li>Focus su settori regolamentati come finanza, energia e amministrazione<\/li><li>Proposta completa per training, inferenza e migrazione modelli<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Posizionamento<\/div>\n        <div class=\"rh-quickfacts-value\">Infrastruttura AI enterprise<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Punto distintivo<\/div>\n        <div class=\"rh-quickfacts-value\">Integrazione verticale hardware-software<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il valore della proposta sta nella combinazione tra chip, piattaforma e compatibilita software gia pronta.<\/div>\n        <div class=\"fbp5-info\">Non sono stati diffusi dettagli su listino o finestre precise di commercializzazione.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Cosa sapere in sintesi<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Prodotti annunciati<\/div>\n            <div class=\"fbp5-scheda-val\">TPU Xuyu e piattaforma Taize 2.0<\/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\/openai-riduce-costi-inferenza-modelli-ai-ottimizzazioni-sistema\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/openai-dimezza-i-costi-di-inferenza-dei-modelli-ai-con-ottimizzazioni-di-b1d725a2-585f-483b-880d.webp\" alt=\"OpenAI dimezza i costi di inferenza dei modelli AI con ottimizzazioni di sistema\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>ai<\/span>\n        <strong>OpenAI dimezza i costi di inferenza dei modelli AI con ottimizzazioni di sistema<\/strong>\n        <small>OpenAI avrebbe tagliato di oltre il 50% i costi di inferenza dei modelli AI grazie a ottimizzazioni di sistema e a&#8230;<\/small>\n      <\/div>\n    <\/a><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/openai-codex-bug-quote-ripristino-monitoraggio\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" 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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>Xuyu e la nuova TPU AI di Zhonghao Xinying: 896 TFLOPS per chip, 1792 TOPS in 8-bit e piattaforma Taize 2. 0 con 8 TPU.<\/p>\n","protected":false},"author":17,"featured_media":34299,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Xuyu TPU 896 TFLOPS","footnotes":""},"categories":[480],"tags":[933,1142],"class_list":["post-34300","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai","tag-videogiochi"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Xuyu, nuova TPU AI con 896 TFLOPS: debutta anche la piattaforma Taize 2.0<\/title>\n<meta name=\"description\" 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