{"id":44146,"date":"2026-08-25T17:03:48","date_gmt":"2026-08-25T15:03:48","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/openai-jalapeno-chip-ai-inferenza-sfida-nvidia-gb300\/"},"modified":"2026-08-25T17:03:52","modified_gmt":"2026-08-25T15:03:52","slug":"openai-jalapeno-chip-ai-inferenza-sfida-nvidia-gb300","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/openai-jalapeno-chip-ai-inferenza-sfida-nvidia-gb300\/","title":{"rendered":"OpenAI presenta Jalape\u00f1o: il chip AI sfida Nvidia GB300 sull&#8217;inferenza"},"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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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<\/style>\n<div class=\"fbp5-wrap rh-json-article\" id=\"rh-article-mt8sorsq-dt7e2\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>OpenAI ha mostrato i primi risultati pubblici di <strong>Jalape\u00f1o<\/strong>, il nuovo sistema per l&#8217;inferenza AI sviluppato insieme a Broadcom, e i numeri dichiarati puntano direttamente ai sistemi Nvidia di fascia pi\u00f9 alta.<\/p><p>Nei test InferenceX di SemiAnalysis, Jalape\u00f1o avrebbe superato gli attuali processori di riferimento sia nella gestione dei token per singolo utente sia nel throughput per kilowatt.<\/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\/08\/openai-jalape-o-395d302b-dbbf-454c-bd3d-f6af-jw66qi11pg.png\" 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\/08\/openai-jalape-o-395d302b-dbbf-454c-bd3d-f6af-jw66qi11pg.png\" alt=\"OpenAI \u79c0\u808c\u8089\uff0c\u4e0e\u535a\u901a\u5171\u7814\u7684 Jalape\u00f1o \u82af\u7247\u5c06\u5411\u82f1\u4f1f\u8fbe GB300 \u53d1\u8d77\u6311\u6218\" 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\">prestazioni<\/div>\n        <h2>Jalape\u00f1o nasce per l&#8217;inferenza e punta ai sistemi Nvidia <span>GB200 e GB300<\/span><\/h2>\n        <p>OpenAI ha confrontato Jalape\u00f1o con le piattaforme Nvidia <strong>GB200<\/strong> e <strong>GB300<\/strong> usando tre modelli diversi: GPT-OSS 120B, DeepSeek R1 e Kimi K2.5 1T. In questo scenario, il nuovo sistema avrebbe completato da 1,5 a 1,9 volte pi\u00f9 lavoro AI per watt rispetto alle soluzioni rivali, mentre la latenza end-to-end si sarebbe fermata a circa il 28%-59% di quella registrata dai sistemi di confronto.<\/p><p>La societ\u00e0 insiste soprattutto su un punto: con la stessa energia \u00e8 possibile processare pi\u00f9 carichi di lavoro e restituire risposte pi\u00f9 rapide. In pratica, Jalape\u00f1o viene presentato come una piattaforma capace di reggere sia scenari ad alta densit\u00e0 di utenti sia casi in cui conta una risposta molto veloce, due obiettivi che spesso entrano in conflitto nei sistemi di inferenza su larga scala.<\/p>\n        \n        \n        \n        \n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">architettura<\/div>\n        <h2>La chiave \u00e8 nel co-design tra modelli, chip <span>memoria e rete<\/span><\/h2>\n        <p>Jalape\u00f1o non viene descritto come un chip isolato, ma come una piattaforma destinata a evolvere su pi\u00f9 generazioni. OpenAI spiega di aver coinvolto anche i propri modelli nello sviluppo, con l&#8217;obiettivo di progettare insieme software, memoria e hardware fin dall&#8217;inizio.<\/p><p>L&#8217;ottimizzazione si concentra in particolare sulle fasi di prefill e comunicazione, indicate come due dei principali fattori che rallentano le risposte. OpenAI aggiunge che il sistema \u00e8 stato progettato per ridurre al minimo lo spostamento dei dati e i ritardi di comunicazione: elementi come la cache KV e altri stati del modello possono restare in locale, mentre risorse di calcolo.<\/p>\n        \n        \n        \n        \n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">disponibilit\u00e0<\/div>\n        <h2>Il rollout sar\u00e0 graduale, con prime installazioni <span>entro fine anno<\/span><\/h2>\n        <p>Sul fronte della disponibilit\u00e0, OpenAI ha indicato un piano di adozione prudente. Le prime implementazioni di Jalape\u00f1o partiranno entro la fine dell&#8217;anno in volumi ridotti, mentre un&#8217;espansione pi\u00f9 ampia \u00e8 prevista dal 2027. Non sono stati per\u00f2 comunicati i numeri precisi delle unit\u00e0 che verranno distribuite nel corso del prossimo anno.<\/p><p>Il dato da seguire, pi\u00f9 che la sola tabella dei benchmark, \u00e8 proprio questo: se Jalape\u00f1o manterr\u00e0 sul campo i vantaggi promessi su efficienza e latenza, OpenAI potrebbe ridurre la dipendenza dai tradizionali acceleratori esterni e costruire una base hardware pi\u00f9 aderente alle esigenze dei propri servizi AI.<\/p>\n        \n        \n        \n        \n        \n      <\/section>\n    \n<\/div><div 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\/994\/253.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>\n","protected":false},"excerpt":{"rendered":"<p>OpenAI ha svelato Jalape\u00f1o, il nuovo sistema per l&#8217;inferenza AI sviluppato con Broadcom e progettato per competere con Nvidia su efficienza e latenza.<\/p>\n","protected":false},"author":9,"featured_media":44145,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"OpenAI Jalape\u00f1o","footnotes":""},"categories":[480],"tags":[1143],"class_list":["post-44146","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-openai"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>OpenAI presenta Jalape\u00f1o: il chip AI sfida Nvidia GB300 sull&#039;inferenza<\/title>\n<meta name=\"description\" content=\"OpenAI ha mostrato i primi risultati di Jalape\u00f1o, il sistema AI sviluppato con Broadcom per accelerare inferenza, ridurre latenza e sfidare Nvidia GB300.\" \/>\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\/openai-jalapeno-chip-ai-inferenza-sfida-nvidia-gb300\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenAI presenta Jalape\u00f1o: il chip AI sfida Nvidia GB300 sull&#039;inferenza\" \/>\n<meta property=\"og:description\" content=\"OpenAI ha mostrato i primi risultati di Jalape\u00f1o, il sistema AI 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