{"id":339664,"date":"2026-07-21T15:47:07","date_gmt":"2026-07-21T15:47:07","guid":{"rendered":"http:\/\/6a0e0cdd6fd4d47f8d4044e8"},"modified":"2026-07-21T15:47:07","modified_gmt":"2026-07-21T15:47:07","slug":"visitamos-el-centro-de-intel-en-guadalajara-que-desarrolla-la-tecnologia-para-los-data-centers-y-la-infraestructura-del-futuro","status":"publish","type":"post","link":"https:\/\/sarmiento24h.com\/?p=339664","title":{"rendered":"Visitamos el centro de Intel en Guadalajara que desarrolla la tecnolog\u00eda para los data centers y la infraestructura del futuro"},"content":{"rendered":"

Creo que estamos superando r\u00e1pidamente esa situaci\u00f3n. Esa es mi opini\u00f3n, considerando toda la inversi\u00f3n que se est\u00e1 realizando en los distintos centros de fabricaci\u00f3n a nivel mundial. El problema principal ser\u00e1 el material. En alg\u00fan momento superaremos esa limitaci\u00f3n, y entonces la energ\u00eda se convertir\u00e1 en un problema. Eso est\u00e1 muy cerca, justo despu\u00e9s.<\/p>\n

\n
\n
\"nube\"<\/picture><\/span><\/div>\n
\n
La nube: \u00bfTe has preguntado c\u00f3mo es la infraestructura que hace posible su existencia?<\/a><\/div>\n

Cada vez que subes una foto o usas IA, activas una red invisible de servidores, chips y cables: la nube. No flota, est\u00e1 anclada a tierra y consume el 2% de la electricidad global. Si el futuro ser\u00e1 en la nube, m\u00e1s vale entender la infraestructura que lo sostiene.<\/p>\n<\/div>\n<\/div>\n

\n

Hace unas semanas me llam\u00f3 la atenci\u00f3n una pregunta de un lector del New York Times<\/em> a un periodista de tecnolog\u00eda. Esta persona dec\u00eda que, hace d\u00e9cadas, una computadora ocupaba una habitaci\u00f3n entera. Ya sabes, como esas enormes m\u00e1quinas de IBM en los a\u00f1os 50. Hoy en d\u00eda, llevamos m\u00e1quinas complejas en nuestros bolsillos. Entonces pregunta, \u201c\u00bfexiste alguna tecnolog\u00eda emergente que pueda volver obsoletos o reducir considerablemente el tama\u00f1o de estos centros de datos?\u201d El periodista b\u00e1sicamente respondi\u00f3 que no, que la ley de Moore no aplica en la era de la inteligencia artificial porque la IA se basa en un nuevo tipo de chip especializado que se requiere en cantidades enormes. \u00bfEst\u00e1 de acuerdo con esa valoraci\u00f3n?<\/strong><\/p>\n

S\u00ed, creo que s\u00ed, porque hay varios factores a considerar. En primer lugar, el tipo de computaci\u00f3n que necesitamos, al menos durante los pr\u00f3ximos a\u00f1os, sigue la misma tendencia. Ahora bien, lo que est\u00e1 sucediendo es que, adem\u00e1s de lo que ha ocurrido desde las computadoras de los a\u00f1os 40 y 50 hasta hoy, los transistores se han vuelto cada vez m\u00e1s peque\u00f1os.<\/p>\n

Si observamos las tecnolog\u00edas actuales, tenemos algo llamado dimensi\u00f3n cr\u00edtica en la fabricaci\u00f3n. Actualmente, esa dimensi\u00f3n cr\u00edtica se mide en n\u00famero de \u00e1tomos. 10 \u00e1tomos, 20 \u00e1tomos, 100 \u00e1tomos. Y esto se est\u00e1 reduciendo. En alg\u00fan momento, aunque se siga reduciendo, se volver\u00e1 inmanejable porque, si se tiene una dimensi\u00f3n cr\u00edtica de uno o dos \u00e1tomos, es muy dif\u00edcil fabricar para ese paradigma. As\u00ed que, como saben, esta tendencia continuar\u00e1 un tiempo m\u00e1s.<\/p>\n

Lo que vemos que la ralentiza es realmente la parte algor\u00edtmica. Se necesita ese tipo de memoria. Ahora mismo, si observamos estos modelos de vanguardia que superan el bill\u00f3n de par\u00e1metros, hablamos de 5 billones, 10 billones, incluso se habla de 50 billones. Son modelos enormes. Para entrenarlos, se necesita, en primer lugar, mucha potencia, lo que nos mantiene en la misma curva. Pero incluso despu\u00e9s del entrenamiento, digamos que pasamos a la inferencia, observamos una tendencia similar a la del cerebro humano: al escanearlo mientras alguien bebe, se activan diferentes \u00e1reas durante distintos tipos de pensamiento o visi\u00f3n. Existe el concepto de mezcla de expertos (MOE, por sus siglas en ingl\u00e9s), donde se toman modelos muy inteligentes y se analiza qu\u00e9 partes se activan para una tarea espec\u00edfica. Esto reduce significativamente el tama\u00f1o de los modelos, hasta 10 o 100 veces. As\u00ed, se obtiene un modelo muy inteligente, pero no se necesita todo su conocimiento; solo la experiencia espec\u00edfica.<\/p>\n

La clave est\u00e1 en que la siguiente fase del cambio, dado que nos acercamos a un l\u00edmite tecnol\u00f3gico en cuanto a la reducci\u00f3n de tama\u00f1o, provendr\u00e1 de la investigaci\u00f3n avanzada en algoritmos y matem\u00e1ticas aplicadas. Por eso la f\u00edsica y todos estos factores entrar\u00e1n en juego. Empezaremos a averiguar qu\u00e9 hacer con la infraestructura existente y c\u00f3mo usarla de manera eficiente.<\/p>\n","protected":false},"excerpt":{"rendered":"

Creo que estamos superando r\u00e1pidamente esa situaci\u00f3n....<\/p>\n","protected":false},"author":1,"featured_media":339665,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[46],"tags":[],"class_list":["post-339664","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tecnologia"],"yoast_head":"\nVisitamos el centro de Intel en Guadalajara que desarrolla la tecnolog\u00eda para los data centers y la infraestructura del futuro - 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