{"id":37016,"date":"2026-07-07T17:52:18","date_gmt":"2026-07-07T15:52:18","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/deepseek-chip-ai-inferenza-nvidia-huawei\/"},"modified":"2026-07-07T17:52:19","modified_gmt":"2026-07-07T15:52:19","slug":"deepseek-chip-ai-inferenza-nvidia-huawei","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/deepseek-chip-ai-inferenza-nvidia-huawei\/","title":{"rendered":"DeepSeek lavora a un chip AI per l&#8217;inferenza e punta a ridurre la dipendenza da Nvidia"},"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  .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-mratujjk-0yg1c\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>DeepSeek starebbe lavorando a un proprio chip AI pensato soprattutto per i carichi di <strong>inferenza<\/strong>, con l&#8217;obiettivo di ridurre la dipendenza da fornitori come Nvidia e Huawei. Il progetto sarebbe partito circa un anno fa e si troverebbe ancora in una fase iniziale.<\/p><p>La mossa \u00e8 interessante perch\u00e9 segnala un possibile allargamento di DeepSeek oltre il software e i modelli linguistici, in una direzione molto pi\u00f9 complessa come quella dei semiconduttori. Per ora non ci sono dettagli tecnici sul chip, ma emergono gi\u00e0 indicazioni chiare sul posizionamento e sulle priorit\u00e0 industriali.<\/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\/07\/deepseek-lavora-a-un-chip-ai-per-l-inferenza-e-punta-a-ridurre-la-dipend-92b667d0-73cc-482f-9127.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\/07\/deepseek-lavora-a-un-chip-ai-per-l-inferenza-e-punta-a-ridurre-la-dipend-92b667d0-73cc-482f-9127.webp\" alt=\"\u6d88\u606f\u79f0 Deepseek \u6b63\u5728\u81ea\u7814 AI \u82af\u7247\uff1a\u9762\u5411\u63a8\u7406\u573a\u666f\uff0c\u51cf\u5c11\u4f9d\u8d56\u82f1\u4f1f\u8fbe\u3001\u534e\u4e3a\" 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\">Scenario<\/div>\n        <h2>DeepSeek punta su un chip proprietario per l&#8217;inferenza AI<\/h2>\n        <p>Il chip in sviluppo sarebbe destinato ai carichi di inferenza, ci\u00f2\u00e8 alla fase in cui un modello gi\u00e0 addestrato elabora nuovi dati e genera risposte o contenuti. \u00c8 un punto importante perch\u00e9 l&#8217;inferenza \u00e8 sempre pi\u00f9 centrale nei servizi AI reali, dove contano costi operativi, efficienza e scalabilit\u00e0.<\/p><p>Per DeepSeek, sviluppare un acceleratore interno potrebbe significare controllare meglio la catena tecnologica e alleggerire la dipendenza da piattaforme esterne. Se il progetto dovesse andare avanti, l&#8217;azienda entrerebbe in un segmento dove la competizione non riguarda solo le prestazioni pure, ma anche disponibilit\u00e0 produttiva, memoria, consumi e integrazione con il software.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Il chip sarebbe pensato per <strong>inferenza AI<\/strong> e non per il training come priorit\u00e0 iniziale.<\/li><li>L&#8217;obiettivo indicato \u00e8 ridurre la dipendenza da <strong>Nvidia e Huawei<\/strong>.<\/li><li>Il progetto sarebbe stato avviato circa un anno fa.<\/li><li>DeepSeek \u00e8 nota finora soprattutto per il lavoro sui modelli AI pi\u00f9 che per la commercializzazione hardware.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Ambito d&#8217;uso<\/div>\n        <div class=\"rh-quickfacts-value\">Inferenza di modelli AI<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Stato del progetto<\/div>\n        <div class=\"rh-quickfacts-value\">Fase iniziale<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Tempistica stimata<\/div>\n        <div class=\"rh-quickfacts-value\">Avvio circa un anno fa<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il punto pi\u00f9 rilevante \u00e8 il focus sull&#8217;inferenza, oggi uno dei fronti pi\u00f9 sensibili per chi vuole contenere i costi di esecuzione dei modelli AI.<\/div>\n        <div class=\"fbp5-info\">Non sono stati diffusi dettagli su nodo produttivo, prestazioni, memoria o tempi di lancio.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Dati chiave emersi<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Azienda<\/div>\n            <div class=\"fbp5-scheda-val\">DeepSeek<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Tipologia<\/div>\n            <div class=\"fbp5-scheda-val\">Chip AI proprietario<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Focus<\/div>\n            <div class=\"fbp5-scheda-val\">Inferenza<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Obiettivo industriale<\/div>\n            <div class=\"fbp5-scheda-val\">Ridurre la dipendenza da fornitori esterni<\/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 progetto \u00e8 ancora all&#8217;inizio e coinvolge design <span>fonderie e memoria<\/span><\/h2>\n        <p>Le attivit\u00e0 sarebbero ancora nelle prime fasi, con DeepSeek impegnata in colloqui con aziende di progettazione chip, partner per la produzione su wafer e fornitori di memoria. \u00c8 un passaggio normale ma decisivo, perch\u00e9 il valore di un acceleratore AI dipende tanto dal silicio quanto dall&#8217;accesso a capacit\u00e0 produttiva e componenti adeguati.<\/p><p>Negli ultimi mesi l&#8217;azienda avrebbe anche intensificato il reclutamento di ingegneri specializzati nella progettazione di chip, mantenendo per\u00f2 un profilo piuttosto discreto e senza pubblicare apertamente le posizioni. Questo suggerisce che il programma esiste davvero come iniziativa strutturata, anche se resta lontano da una fase commerciale.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Sono in corso contatti con societ\u00e0 di <strong>chip design<\/strong>, fonderie e fornitori di memoria.<\/li><li>DeepSeek avrebbe rafforzato il recruiting di ingegneri hardware negli ultimi mesi.<\/li><li>La ricerca di personale sarebbe avvenuta in modo poco visibile, senza annunci pubblici estesi.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Partner coinvolti<\/div>\n        <div class=\"rh-quickfacts-value\">Design, produzione e memoria<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Profilo del progetto<\/div>\n        <div class=\"rh-quickfacts-value\">Ancora riservato<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Senza accesso a processi produttivi avanzati, un chip AI interno pu\u00f2 avere un valore soprattutto domestico o per uso interno, pi\u00f9 che come prodotto globale.<\/div>\n        <div class=\"fbp5-info\">DeepSeek non ha rilasciato commenti pubblici sulla notizia al momento della pubblicazione.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Cosa manca ancora<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Specifiche tecniche<\/div>\n            <div class=\"fbp5-scheda-val\">Non comunicate<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Nodo produttivo<\/div>\n            <div class=\"fbp5-scheda-val\">Non comunicato<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Produzione di massa<\/div>\n            <div class=\"fbp5-scheda-val\">Non confermata<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Disponibilit\u00e0 commerciale<\/div>\n            <div class=\"fbp5-scheda-val\">Non comunicata<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Impatto<\/div>\n        <h2>La notizia pesa sul settore, ma l&#8217;effetto competitivo resta <span>tutto da dimostrare<\/span><\/h2>\n        <p>La notizia ha avuto un effetto immediato sul sentiment di mercato, con Nvidia in calo di circa l&#8217;1,6% nel premercato. \u00c8 una reazione comprensibile: ogni tentativo di integrazione verticale da parte di un attore AI viene letto come un possibile segnale di minore dipendenza dall&#8217;ecosistema GPU tradizionale.<\/p><p>Detto questo, il vero impatto competitivo \u00e8 ancora da verificare. Entrare nel settore dei semiconduttori richiede tempi lunghi, investimenti elevati e accesso a tecnologie produttive avanzate. Senza questi elementi, il progetto pu\u00f2 comunque essere utile a DeepSeek per ottimizzare i propri carichi interni, ma non \u00e8 detto che si traduca rapidamente in un prodotto capace di spostare gli equilibri globali.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Nvidia ha registrato un calo di circa <strong>1,6%<\/strong> nel premercato dopo l&#8217;indiscrezione.<\/li><li>Un eventuale chip interno aumenterebbe la pressione competitiva anche su Huawei.<\/li><li>L&#8217;effetto reale dipender\u00e0 da produzione, prestazioni e accesso ai processi pi\u00f9 avanzati.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Possibili concorrenti toccati<\/div>\n        <div class=\"rh-quickfacts-value\">Nvidia e Huawei<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Ostacolo principale<\/div>\n        <div class=\"rh-quickfacts-value\">Accesso alla manifattura avanzata<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il valore della mossa, oggi, \u00e8 soprattutto strategico: indica che anche le software house AI stanno valutando chip su misura per l&#8217;inferenza.<\/div>\n        <div class=\"fbp5-info\">Al momento non ci sono indicazioni su prezzo, varianti o una futura commercializzazione del chip.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Perch\u00e9 la notizia conta<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Segnale strategico<\/div>\n            <div class=\"fbp5-scheda-val\">Verticalizzazione hardware<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Vantaggio potenziale<\/div>\n            <div class=\"fbp5-scheda-val\">Pi\u00f9 controllo su costi e infrastruttura AI<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Rischio<\/div>\n            <div class=\"fbp5-scheda-val\">Tempi lunghi e complessit\u00e0 industriale elevata<\/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\/aito-m9-lidar-interno-backup-sensori-prezzi\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/aito-m9-2d767e4e-3b51-4da5-82d7-29bb-1sfctmo1ei.webp\" alt=\"Aito M9: come funziona il LiDAR interno di backup del SUV Huawei\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>ai<\/span>\n        <strong>Aito M9: come funziona il LiDAR interno di backup del SUV Huawei<\/strong>\n        <small>Aito M9 integra un LiDAR interno di backup, una telecamera laterale sul montante C e protezione AI adattiva. 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Il progetto sarebbe ancora in fase iniziale.<\/p>\n","protected":false},"author":15,"featured_media":37015,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"DeepSeek chip AI inferenza","footnotes":""},"categories":[480],"tags":[933,455],"class_list":["post-37016","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai","tag-huawei"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DeepSeek lavora a un chip AI per l&#039;inferenza e punta a ridurre la dipendenza da Nvidia<\/title>\n<meta name=\"description\" content=\"DeepSeek starebbe sviluppando un chip AI proprietario per l&#039;inferenza. 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