{"id":128880,"date":"2026-04-16T17:58:39","date_gmt":"2026-04-16T17:58:39","guid":{"rendered":"http:\/\/69e0f13cd63f19126ccbe774"},"modified":"2026-04-16T17:58:39","modified_gmt":"2026-04-16T17:58:39","slug":"la-ia-esta-aprendiendo-a-optimizar-chips-y-eso-pone-en-peligro-a-la-propia-nvidia","status":"publish","type":"post","link":"https:\/\/sarmiento24h.com\/?p=128880","title":{"rendered":"La IA est\u00e1 aprendiendo a optimizar chips, y eso pone en peligro a la propia Nvidia"},"content":{"rendered":"
<\/div>\n

Por supuesto, Claude de Anthropic es uno de los muchos modelos de IA que ahora son sobrehumanos escribiendo c\u00f3digo. As\u00ed que Andere considera que no pasar\u00e1 mucho tiempo antes de que la IA empiece a consumir la ventaja del software<\/em> de Nvidia.<\/p>\n

\u201cLa ventaja competitiva reside en la programabilidad del chip\u201d, aclara Andere, refiri\u00e9ndose a las bibliotecas y herramientas de software<\/em> que facilitan la optimizaci\u00f3n del c\u00f3digo para el hardware<\/em> de Nvidia. \u201cCreo que es hora de replantearse si realmente se trata de una ventaja competitiva s\u00f3lida\u201d.<\/p>\n

Lo que todo el mundo necesita: m\u00e1s chips<\/h2>\n

Adem\u00e1s de facilitar la optimizaci\u00f3n de c\u00f3digo para distintos tipos de silicio, la IA pronto podr\u00eda facilitar el dise\u00f1o de los propios chips. Ricursive Intelligence, una startup<\/em> fundada por dos ex ingenieras de Google, Azalia Mirhoseini y Anna Goldie, est\u00e1 desarrollando nuevas formas de dise\u00f1ar chips inform\u00e1ticos con inteligencia artificial. Si su tecnolog\u00eda despega, muchas m\u00e1s empresas podr\u00edan dedicarse al dise\u00f1o de chips, creando silicio personalizado que ejecute su software<\/em> de forma m\u00e1s eficiente.<\/p>\n

\u201cNos centramos en los aspectos fundamentales del dise\u00f1o de chips: el dise\u00f1o f\u00edsico y la verificaci\u00f3n del dise\u00f1o\u201d, refiere Mirhoseini, quien tambi\u00e9n es profesor asistente en la Universidad de Stanford, en referencia a dos de los principales desaf\u00edos relacionados con el dise\u00f1o de chips.<\/p>\n

El dise\u00f1o de chips inform\u00e1ticos es uno de los trabajos m\u00e1s importantes, y complejos, del mundo. Los ingenieros de chips deben encontrar la manera de organizar una gran cantidad de componentes en un chip de silicio para optimizar sus diferentes funciones. Tras el dise\u00f1o inicial de un chip, su rendimiento debe someterse a pruebas y verificaciones exhaustivas mediante un proceso iterativo antes de enviarlo a la fundici\u00f3n.<\/p>\n

Los dise\u00f1os de Nvidia son cruciales para la IA moderna, ya que cada nueva generaci\u00f3n de chips permite a las empresas entrenar modelos de IA m\u00e1s potentes utilizando cientos o miles de procesadores interconectados dentro de vastos centros de datos.<\/p>\n

Durante su etapa en Google, Mirhoseini y Goldie desarrollaron un m\u00e9todo para que la IA optimizara la disposici\u00f3n de los componentes clave de los chips inform\u00e1ticos. Este enfoque transform\u00f3 la forma en que Google dise\u00f1a sus propios procesadores y ahora se utiliza ampliamente en la industria para ayudar a organizar las funciones en diferentes chips.<\/p>\n

Ricursive pretende ir m\u00e1s all\u00e1, automatizando m\u00e1s elementos del dise\u00f1o de chips e integrando modelos de lenguaje complejos en el proceso. El objetivo es permitir que los ingenieros utilicen el lenguaje natural para describir cambios o formular preguntas sobre un chip. Del mismo modo que se puede programar una aplicaci\u00f3n mediante la t\u00e9cnica de vibecode, quiz\u00e1s en el futuro sea posible dise\u00f1ar un chip de esta manera.<\/p>\n

Ricursive a\u00fan est\u00e1 desarrollando su tecnolog\u00eda, pero Mirhoseini sostiene que la empresa ya ha demostrado que puede optimizar m\u00e1s aspectos del dise\u00f1o de chips.<\/p>\n

La posibilidad de automatizar el dise\u00f1o de chips de esta manera tiene a algunos inversores entusiasmados: Ricursive ha recaudado 335 millones de d\u00f3lares con una valoraci\u00f3n de 4,000 millones de d\u00f3lares en tan solo unos meses.<\/p>\n

Goldie manifiesta que, en \u00faltima instancia, podr\u00eda ser posible que la IA participe en el codise\u00f1o de chips y algoritmos para hacerlos m\u00e1s potentes. Explica que el hecho de que la IA optimice su propio silicio y c\u00f3digo podr\u00eda generar una mejora recursiva. \u00abNos adentramos en un nuevo paradigma donde podemos invertir m\u00e1s capacidad de procesamiento para dise\u00f1ar chips m\u00e1s r\u00e1pidos y mejores, creando as\u00ed una especie de ley de escalado para el dise\u00f1o de chips\u00bb.<\/p>\n

Art\u00edculo originalmente publicado en<\/em> WIRED<\/a>. Adaptado por Mauricio Serfatty Godoy.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Por supuesto, Claude de Anthropic es uno...<\/p>\n","protected":false},"author":1,"featured_media":128881,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_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}},"categories":[46],"tags":[],"class_list":["post-128880","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tecnologia"],"yoast_head":"\nLa IA est\u00e1 aprendiendo a optimizar chips, y eso pone en peligro a la propia Nvidia - Sarmiento24h<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sarmiento24h.com\/?p=128880\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"La IA est\u00e1 aprendiendo a optimizar chips, y eso pone en peligro a la propia Nvidia - 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