{"id":34595,"date":"2026-07-01T07:43:02","date_gmt":"2026-07-01T05:43:02","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/nvidia-deepseek-v4-blackwell-costo-token-throughput\/"},"modified":"2026-07-01T07:43:03","modified_gmt":"2026-07-01T05:43:03","slug":"nvidia-deepseek-v4-blackwell-costo-token-throughput","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/nvidia-deepseek-v4-blackwell-costo-token-throughput\/","title":{"rendered":"NVIDIA migliora DeepSeek V4: costo per token fino a un quinto su Blackwell"},"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-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-mr1nfh5s-q208d\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>NVIDIA ha annunciato un nuovo record di efficienza per l&#8217;inferenza di <strong>DeepSeek V4<\/strong> sulla piattaforma Blackwell: rispetto al debutto del modello avvenuto circa un mese fa, il costo per singolo token pu\u00f2 scendere fino a <strong>un quinto<\/strong>.<\/p><p>Il risultato arriva da un lavoro di ottimizzazione dell&#8217;intero stack di inferenza, con miglioramenti che toccano sia il costo operativo sia la velocit\u00e0 di elaborazione.<\/p>\n  <\/div><div class=\"rh-inline-gallery rh-inline-gallery-cols-3\" style=\"display:grid;grid-template-columns:repeat(3,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\/07\/nvidia-migliora-deepseek-v4-7fc7a0ee-1de8-4587-b192-edd5-s44evtdarf.jpg\" 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\/07\/nvidia-migliora-deepseek-v4-7fc7a0ee-1de8-4587-b192-edd5-s44evtdarf.jpg\" alt=\"\u82f1\u4f1f\u8fbe\u5237\u65b0 DeepSeek V4 \u63a8\u7406\u7eaa\u5f55\uff1a\u5355 Token \u6210\u672c\u964d\u81f3 1\/5\uff0cAI \u541e\u5410\u91cf\u6700\u9ad8\u63d0\u5347 20 \u500d\" 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\/07\/nvidia-migliora-deepseek-v4-3374982e-fc9a-412a-b181-8929-142kke0c2m.jpg\" 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\/07\/nvidia-migliora-deepseek-v4-3374982e-fc9a-412a-b181-8929-142kke0c2m.jpg\" alt=\"\u82f1\u4f1f\u8fbe\u5237\u65b0 DeepSeek V4 \u63a8\u7406\u7eaa\u5f55\uff1a\u5355 Token \u6210\u672c\u964d\u81f3 1\/5\uff0cAI \u541e\u5410\u91cf\u6700\u9ad8\u63d0\u5347 20 \u500d\" 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\/07\/nvidia-migliora-deepseek-v4-4d79b0cf-0813-45c4-9f41-ff5c-17ibonr19f.jpg\" 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\/07\/nvidia-migliora-deepseek-v4-4d79b0cf-0813-45c4-9f41-ff5c-17ibonr19f.jpg\" alt=\"\u82f1\u4f1f\u8fbe\u5237\u65b0 DeepSeek V4 \u63a8\u7406\u7eaa\u5f55\uff1a\u5355 Token \u6210\u672c\u964d\u81f3 1\/5\uff0cAI \u541e\u5410\u91cf\u6700\u9ad8\u63d0\u5347 20 \u500d\" 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\">Prestazioni<\/div>\n        <h2>Blackwell riduce il costo per token e spinge l&#8217;inferenza di <span>DeepSeek V4<\/span><\/h2>\n        <p>NVIDIA ha indicato il costo per token come uno degli indicatori centrali del costo totale di possesso nell&#8217;intelligenza artificiale. Nel caso di DeepSeek V4, la piattaforma Blackwell porta questo valore al livello pi\u00f9 basso dichiarato dall&#8217;azienda, grazie a un&#8217;ottimizzazione completa della catena di inferenza.<\/p><p>Il costo per token misura quanto costa generare o processare un singolo elemento di testo del modello. \u00c8 un parametro utile perch\u00e9 permette di confrontare in modo diretto hardware, stack software e modalit\u00e0 di distribuzione, soprattutto negli scenari in cui il volume di richieste \u00e8 molto elevato.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Riduzione del costo per token fino a <strong>1\/5<\/strong> rispetto alla fase iniziale di DeepSeek V4.<\/li><li>Ottimizzazione dell&#8217;intero stack di inferenza sulla piattaforma <strong>NVIDIA Blackwell<\/strong>.<\/li><li>Costo per token trattato come metrica chiave del costo totale di possesso dell&#8217;AI.<\/li><\/ul>\n        \n        <div class=\"fbp5-highlight\">Il passaggio pi\u00f9 importante \u00e8 la riduzione del costo unitario di inferenza, un dato che pesa direttamente sulla scalabilit\u00e0 dei servizi AI.<\/div>\n        <div class=\"fbp5-info\">L&#8217;annuncio riguarda l&#8217;ottimizzazione dell&#8217;inferenza e non una nuova versione hardware della piattaforma.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Dati chiave annunciati<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Metrica evidenziata<\/div>\n            <div class=\"fbp5-scheda-val\">Costo per token<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Riduzione massima dichiarata<\/div>\n            <div class=\"fbp5-scheda-val\">Fino all&#8217;80%<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Obiettivo<\/div>\n            <div class=\"fbp5-scheda-val\">Abbassare il costo totale di esercizio dell&#8217;inferenza AI<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Tecnologia<\/div>\n        <h2>Le ottimizzazioni software e di sistema portano fino a 20 volte pi\u00f9 <span>throughput per GPU<\/span><\/h2>\n        <p>Sul piano tecnico, NVIDIA attribuisce il miglioramento a tre livelli di intervento: operations di produzione, accelerazione applicativa e accesso all&#8217;infrastruttura. L&#8217;idea \u00e8 intervenire non solo sul silicio, ma anche sul modo in cui il modello viene servito, parallelizzato e messo in comunicazione con le risorse disponibili.<\/p><p>Tra le tecnologie citate compaiono il servizio disaggregato, il parallelismo su larga scala per i modelli a esperti, la comunicazione parallela basata su NVLink, la precisione <strong>NVFP4<\/strong> e la previsione multi-token. Combinando questi elementi, Blackwell pu\u00f2 aumentare il throughput di token per singola GPU fino a <strong>20 volte<\/strong>.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Servizio disaggregato per migliorare l&#8217;efficienza nell&#8217;esecuzione dei carichi di inferenza.<\/li><li>Parallelismo massivo per architetture a esperti, utile con modelli di grandi dimensioni.<\/li><li>Comunicazione parallela tramite <strong>NVLink<\/strong> per ridurre i colli di bottiglia tra GPU.<\/li><li>Uso della precisione <strong>NVFP4<\/strong> per ottimizzare prestazioni ed efficienza.<\/li><li>Previsione multi-token per aumentare la velocit\u00e0 di generazione.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Incremento massimo throughput<\/div>\n        <div class=\"rh-quickfacts-value\">Fino a 20 volte per singola GPU<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Tecnologia di interconnessione<\/div>\n        <div class=\"rh-quickfacts-value\">NVLink<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il guadagno sul throughput \u00e8 rilevante perch\u00e9 migliora insieme velocit\u00e0, densit\u00e0 di calcolo e costo per richiesta.<\/div>\n        <div class=\"fbp5-info\">Per chi valuta infrastrutture AI, il dato da seguire \u00e8 il rapporto tra throughput per GPU e costo per token, pi\u00f9 indicativo del solo picco prestazionale.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Componenti dell&#8217;ottimizzazione<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Livello 1<\/div>\n            <div class=\"fbp5-scheda-val\">Operations di produzione<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Livello 2<\/div>\n            <div class=\"fbp5-scheda-val\">Accelerazione applicativa<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Livello 3<\/div>\n            <div class=\"fbp5-scheda-val\">Accesso all&#8217;infrastruttura<\/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\/byd-fangchengbao-tai-9-formula-s-lancio-2025\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/byd-fangchengbao-0d18d095-7f9b-4a56-9c19-7ec2-tilvtof49e-scaled.webp\" alt=\"BYD Fangchengbao: Tai 9 e Formula S in arrivo nella seconda meta del 2025\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>auto<\/span>\n        <strong>BYD Fangchengbao: Tai 9 e Formula S in arrivo nella seconda meta del 2025<\/strong>\n        <small>BYD ha anticipato il lancio di Tai 9 e Formula S nella seconda meta del 2025, con primi dettagli su SUV, berline e&#8230;<\/small>\n      <\/div>\n    <\/a><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/kaihongos-desktop-x86-v5-0-2-30-fotocamera\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/kaihongos-desktop-x86-v5-0-2-30-7a6ed348-f281-4c6e-b4cc-f9f3-bxcb4uuzw0.webp\" alt=\"KaihongOS Desktop x86 V5.0.2.30: arrivano fotocamera ed editor documenti\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>smart home<\/span>\n        <strong>KaihongOS Desktop x86 V5.0.2.30: arrivano fotocamera ed editor 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class=\"rh-attribution-pills\" style=\"display:flex;gap:10px;flex-wrap:wrap;justify-content:flex-start;margin:16px 0 0\"><a href=\"https:\/\/www.ithome.com\/0\/971\/026.htm\" target=\"_blank\" rel=\"noopener\" title=\"Via: VIA\" aria-label=\"Via: VIA\" style=\"display:inline-flex;align-items:center;gap:8px;padding:10px 16px;border-radius:16px;background:linear-gradient(135deg,#fff7ed,#ffedd5);color:#c2410c;text-decoration:none;font-size:11px;font-weight:900;letter-spacing:.08em;text-transform:uppercase;border:1px solid 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>NVIDIA dichiara un forte salto di efficienza per DeepSeek V4 su Blackwell, con costo per token fino a un quinto e throughput per GPU fino a 20 volte superiore.<\/p>\n","protected":false},"author":17,"featured_media":34594,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"DeepSeek V4 Blackwell","footnotes":""},"categories":[480],"tags":[933,1142],"class_list":["post-34595","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>NVIDIA migliora DeepSeek V4: costo per token fino a un quinto su Blackwell<\/title>\n<meta name=\"description\" content=\"NVIDIA annuncia ottimizzazioni per DeepSeek V4 su Blackwell: costo per token fino a un quinto e throughput per GPU fino a 20 volte superiore.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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