{"id":336938,"date":"2024-07-30T12:50:52","date_gmt":"2024-07-30T10:50:52","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=336938"},"modified":"2025-06-12T16:33:27","modified_gmt":"2025-06-12T14:33:27","slug":"apple-rechazo-a-nvidia-por-esta-compania-para-entrenar-su-ia","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/es\/apple-rechazo-a-nvidia-por-esta-compania-para-entrenar-su-ia\/","title":{"rendered":"Apple rechaz\u00f3 a Nvidia por esta compa\u00f1\u00eda para entrenar su IA"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Seg\u00fan hemos podido saber gracias a un documento de investigaci\u00f3n, <a href=\"https:\/\/www.softonic.com\/articulos\/apple-intelligence-oficial\" target=\"_blank\" rel=\"noopener\" title=\"Apple y su Apple Intelligence\">Apple y su Apple Intelligence<\/a> pasaron de Nvidia a la hora de elegir los equipos que entrenar\u00edan a la IA de Tim Cook. Y eso significa mucho.<\/p>\n\n\n<div class=\"sc-card-program\">\r\n  <div class=\"sc-card-program__body\">\r\n    <div class=\"sc-card-program__row clearfix\">\r\n      <div class=\"sc-card-program__col-logo\">\r\n        <img decoding=\"async\" class=\"sc-card-program__img\" src=\"https:\/\/images.sftcdn.net\/images\/t_app-icon-s\/p\/aa0ea39a-3047-47be-9b3a-938ac771524a\/234379927\/ios-17-download-ios-17.jpg\" alt=\"iOS 17\" width=\"100px\" height=\"100px\">\r\n      <\/div>\r\n      <div class=\"sc-card-program__col-title\">\r\n        <span class=\"sc-card-program__title\">iOS 17<\/span>\r\n        <a class=\"sc-card-program__button sc-card-program-internal\" href=\"https:\/\/ios-17.softonic.com\/iphone\" target=\"_self\" rel=\"noopener noreferrer\">DESCARGAR<\/a>\r\n      <\/div>\r\n      <div class=\"sc-card-program__col-rating\">\r\n        <svg class=\"rating-score__content\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" x=\"0\" y=\"0\" viewbox=\"0 0 50 50\" enable-background=\"new 0 0 50 50\" xml:space=\"preserve\"><path class=\"rating-score__background rating-score--good\" fill=\"none\" stroke-width=\"6\" stroke-miterlimit=\"10\" d=\"M40 40c8.3-8.3 8.3-21.7 0-30s-21.7-8.3-30 0 -8.3 21.7 0 30\"><\/path><path class=\"rating-score__value rating-score__value--0\" fill=\"none\" stroke-width=\"6\" stroke-dashoffset=\"0\" stroke-miterlimit=\"10\" d=\"M40 40c8.3-8.3 8.3-21.7 0-30s-21.7-8.3-30 0 -8.3 21.7 0 30\"><\/path><text class=\"rating-score__number\" content=\"\" text-anchor=\"middle\" transform=\"matrix(1 0 0 1 25 31.0837)\" data-auto=\"app-user-score\"><\/text><\/svg>\r\n      <\/div>\r\n    <\/div>\r\n    <div class=\"sc-card-program__row\">\r\n      <span class=\"sc-card-program__description\"><\/span>\r\n    <\/div>\r\n    <div class=\"sc-card-program__row\">\r\n      <img decoding=\"async\" class=\"sc-card-program__bigpic\" src=\"\" onerror=\"this.style.display='none'\">\r\n    <\/div>\r\n    <a class=\"sc-card-program__link track-link sc-card-program-internal\" href=\"https:\/\/ios-17.softonic.com\/iphone\" target=\"_self\" rel=\"noopener noreferrer\"><\/a>\r\n  <\/div>\r\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.softonic.com\/articulos\/nvidia-acaba-de-pasar-a-google-y-amazon-por-primera-vez-en-su-historia\" target=\"_blank\" rel=\"noopener\" title=\"Parece ser que Apple no quer\u00eda aupar m\u00e1s a Nvidia en el mercado \">Parece ser que Apple no quer\u00eda aupar m\u00e1s a Nvidia en el mercado <\/a>d\u00e1ndole el encargo del entrenamiento de su IA, as\u00ed que eligi\u00f3 a la competencia de Nvidia y socios desde hace tiempo: Sundar Pichai y su empresa.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sin embargo, en su documento, <strong>Apple comparte que su Apple Foundation Model (AFM) de 2.730 millones de par\u00e1metros se basa en cl\u00fasteres en la nube de <\/strong>unidades de procesamiento tensorial (TPU) v4 y v5p que suele proporcionar <strong>Google<\/strong>, de la matriz Alphabet Inc.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-rich is-provider-twitter wp-block-embed-twitter\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">Apple relied on chips designed by Google rather than industry leader Nvidia to build two key components of its artificial intelligence software infrastructure for its forthcoming suite of AI tools and features, an Apple research paper showed <a href=\"https:\/\/t.co\/Q6PcrWufQA\">https:\/\/t.co\/Q6PcrWufQA<\/a> <a href=\"https:\/\/t.co\/12pSDj6Z4e\">pic.twitter.com\/12pSDj6Z4e<\/a><\/p>&mdash; Reuters (@Reuters) <a href=\"https:\/\/twitter.com\/Reuters\/status\/1818207403550331049?ref_src=twsrc%5Etfw\">July 30, 2024<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">La IA de Apple se basa en el uso de TPU en lugar de GPU, como es habitual<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">El documento de investigaci\u00f3n de Apple, <a href=\"https:\/\/www.reuters.com\/technology\/apple-says-it-uses-no-nvidia-gpus-train-its-ai-models-2024-07-29\/\" target=\"_blank\" rel=\"noopener\" title=\"publicado hoy\">publicado hoy<\/a>, cubre su infraestructura de entrenamiento y otros detalles para <a href=\"https:\/\/www.softonic.com\/articulos\/apple-intelligence-no-llega-ios-18\" target=\"_blank\" rel=\"noopener\" title=\"los modelos de IA que impulsar\u00e1n las funciones anunciadas en la WWDC a principios de este a\u00f1o\">los modelos de IA que impulsar\u00e1n las funciones anunciadas en la WWDC a principios de este a\u00f1o<\/a>. Apple anunci\u00f3 tanto el procesamiento de IA en dispositivos como el procesamiento en la nube, y <strong>en el coraz\u00f3n de estas funciones de IA se encuentra el Apple Foundation Model apodado AFM.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para AFM en servidor, o el modelo que impulsar\u00e1 las funciones de IA en la nube llamadas Apple Cloud Compute, Apple comparti\u00f3 que entrena un modelo de IA de 6,3 billones de tokens &#8220;desde cero&#8221; en &#8220;8.192 chips TPUv4&#8221;. Los chips TPUv4 de Google est\u00e1n disponibles en vainas formadas por 4.096 chips cada una.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Apple picks Google chips, shuns Nvidia, to build AI products | REUTERS\" width=\"840\" height=\"473\" src=\"https:\/\/www.youtube.com\/embed\/jR9lA_rDLu4?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Apple a\u00f1adi\u00f3 que los modelos de AFM<\/strong> (tanto en el dispositivo como en la nube) <strong>se entrenan en chips TPUv4 y cl\u00fasteres TPU en la nube v5p<\/strong>. Este v5p forma parte del &#8220;hiperordenador&#8221; de IA en la nube de Google, y se anunci\u00f3 en diciembre del a\u00f1o pasado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cada pod v5p est\u00e1 formado por 8.960 chips cada uno y, <strong>seg\u00fan Google, ofrece el doble de operaciones en coma flotante por segundo (FLOPS) y el triple de memoria<\/strong> que TPU v4 para entrenar modelos casi tres veces m\u00e1s r\u00e1pido.<\/p>\n\n\n<div class=\"sc-card-program\">\r\n  <div class=\"sc-card-program__body\">\r\n    <div class=\"sc-card-program__row clearfix\">\r\n      <div class=\"sc-card-program__col-logo\">\r\n        <img decoding=\"async\" class=\"sc-card-program__img\" src=\"https:\/\/images.sftcdn.net\/images\/t_app-icon-s\/p\/aa0ea39a-3047-47be-9b3a-938ac771524a\/234379927\/ios-17-download-ios-17.jpg\" alt=\"iOS 17\" width=\"100px\" height=\"100px\">\r\n      <\/div>\r\n      <div class=\"sc-card-program__col-title\">\r\n        <span class=\"sc-card-program__title\">iOS 17<\/span>\r\n        <a class=\"sc-card-program__button sc-card-program-internal\" href=\"https:\/\/ios-17.softonic.com\/iphone\" target=\"_self\" rel=\"noopener noreferrer\">DESCARGAR<\/a>\r\n      <\/div>\r\n      <div class=\"sc-card-program__col-rating\">\r\n        <svg class=\"rating-score__content\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" x=\"0\" y=\"0\" viewbox=\"0 0 50 50\" enable-background=\"new 0 0 50 50\" xml:space=\"preserve\"><path class=\"rating-score__background rating-score--good\" fill=\"none\" stroke-width=\"6\" stroke-miterlimit=\"10\" d=\"M40 40c8.3-8.3 8.3-21.7 0-30s-21.7-8.3-30 0 -8.3 21.7 0 30\"><\/path><path class=\"rating-score__value rating-score__value--0\" fill=\"none\" stroke-width=\"6\" stroke-dashoffset=\"0\" stroke-miterlimit=\"10\" d=\"M40 40c8.3-8.3 8.3-21.7 0-30s-21.7-8.3-30 0 -8.3 21.7 0 30\"><\/path><text class=\"rating-score__number\" content=\"\" text-anchor=\"middle\" transform=\"matrix(1 0 0 1 25 31.0837)\" data-auto=\"app-user-score\"><\/text><\/svg>\r\n      <\/div>\r\n    <\/div>\r\n    <div class=\"sc-card-program__row\">\r\n      <span class=\"sc-card-program__description\"><\/span>\r\n    <\/div>\r\n    <div class=\"sc-card-program__row\">\r\n      <img decoding=\"async\" class=\"sc-card-program__bigpic\" src=\"\" onerror=\"this.style.display='none'\">\r\n    <\/div>\r\n    <a class=\"sc-card-program__link track-link sc-card-program-internal\" href=\"https:\/\/ios-17.softonic.com\/iphone\" target=\"_self\" rel=\"noopener noreferrer\"><\/a>\r\n  <\/div>\r\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Para el modelo de IA en el dispositivo para funciones como la escritura y la selecci\u00f3n de im\u00e1genes, <strong>Apple utiliza un modelo de 6.400 millones de par\u00e1metros <\/strong>&#8220;entrenado desde cero con la misma receta que AFM-server&#8221;.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Apple tambi\u00e9n opt\u00f3 por confiar en los antiguos chips TPU v4 para el modelo de servidor AFM<\/strong>. Como se ha se\u00f1alado anteriormente, utiliz\u00f3 chips TPU 8.092 v4, pero para el modelo AFM en el dispositivo, la firma opt\u00f3 por confiar en los chips m\u00e1s nuevos. Este modelo, seg\u00fan Apple, se entren\u00f3 con chips TPU v5p de 2.048.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Seg\u00fan hemos podido saber gracias a un documento de investigaci\u00f3n, Apple y su Apple Intelligence pasaron de Nvidia a la hora de elegir los equipos que entrenar\u00edan a la IA de Tim Cook. Y eso significa mucho. Parece ser que Apple no quer\u00eda aupar m\u00e1s a Nvidia en el mercado d\u00e1ndole el encargo del entrenamiento &hellip; <a href=\"https:\/\/cms-articles.softonic.io\/es\/apple-rechazo-a-nvidia-por-esta-compania-para-entrenar-su-ia\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Apple rechaz\u00f3 a Nvidia por esta compa\u00f1\u00eda para entrenar su IA&#8221;<\/span><\/a><\/p>\n","protected":false},"author":9265,"featured_media":336943,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":1},"categories":[9317],"tags":[9387,10611],"usertag":[],"vertical":[],"content-category":[14053],"class_list":["post-336938","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-apple","tag-inteligencia-artificial","content-category-ia"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/posts\/336938","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/users\/9265"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/comments?post=336938"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/posts\/336938\/revisions"}],"predecessor-version":[{"id":358605,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/posts\/336938\/revisions\/358605"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/media\/336943"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/media?parent=336938"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/categories?post=336938"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/tags?post=336938"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/usertag?post=336938"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/vertical?post=336938"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/es\/wp-json\/wp\/v2\/content-category?post=336938"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}