{"id":32911,"date":"2026-03-19T20:17:44","date_gmt":"2026-03-20T02:17:44","guid":{"rendered":"https:\/\/reseller.lat\/?p=32911"},"modified":"2026-03-19T20:25:16","modified_gmt":"2026-03-20T02:25:16","slug":"akamai-despliega-infraestructura-global-de-ia-con-nvidia","status":"publish","type":"post","link":"https:\/\/reseller.lat\/?p=32911","title":{"rendered":"Akamai despliega infraestructura global de IA distribuida con NVIDIA"},"content":{"rendered":"\n<p>Akamai Technologies anunci\u00f3&nbsp;<strong>la implementaci\u00f3n a escala mundial<\/strong>&nbsp;del dise\u00f1o de referencia NVIDIA AI Grid.<\/p>\n\n\n\n<p>Tiene el objetivo de&nbsp;<strong>habilitar<\/strong>&nbsp;una infraestructura de IA distribuida que&nbsp;<strong>optimiza<\/strong>&nbsp;la ejecuci\u00f3n de&nbsp;<strong>inferencias<\/strong>&nbsp;en tiempo real. Mediante un&nbsp;<strong>equilibrio<\/strong>&nbsp;entre latencia, costo y rendimiento.<\/p>\n\n\n\n<p><a href=\"https:\/\/reseller.lat\/?s=akamai\" target=\"_blank\" rel=\"noreferrer noopener\">La compa\u00f1\u00eda<\/a>\u00a0inform\u00f3 que esta\u00a0<strong>iniciativa<\/strong>\u00a0forma parte de la evoluci\u00f3n de\u00a0<strong>Akamai Inference Cloud<\/strong>. La plataforma integra\u00a0<strong>infraestructura<\/strong>\u00a0de NVIDIA basada en GPU RTX PRO 6000 Blackwell Server Edition.<\/p>\n\n\n\n<p>Y se apoya en una&nbsp;<strong>red global distribuida<\/strong>&nbsp;que permite procesar&nbsp;<strong>cargas de trabajo<\/strong>&nbsp;tanto en el n\u00facleo como en el&nbsp;<strong>Edge<\/strong>. Acercando la computaci\u00f3n al&nbsp;<strong>punto de interacci\u00f3n<\/strong>&nbsp;con el usuario.<\/p>\n\n\n\n<p>El modelo se sustenta en una&nbsp;<strong>arquitectura unificada<\/strong>&nbsp;que combina capacidad de c\u00f3mputo centralizada y&nbsp;<strong>procesamiento perif\u00e9rico<\/strong>.<\/p>\n\n\n\n<p>A trav\u00e9s de un&nbsp;<strong>coordinador inteligente<\/strong>, la plataforma gestiona en&nbsp;<strong>tiempo real<\/strong>&nbsp;asignaci\u00f3n de recursos,&nbsp;<strong>optimizando<\/strong>&nbsp;la denominada \u2018token\u00f3mica\u2019. Esta incluye&nbsp;<strong>variables<\/strong>&nbsp;como costo por token, tiempo de respuesta y&nbsp;<strong>rendimiento<\/strong>&nbsp;operativo.<\/p>\n\n\n\n<p>Este enfoque&nbsp;<strong>permite dirigir<\/strong>&nbsp;cada carga de trabajo al entorno&nbsp;<strong>m\u00e1s adecuado<\/strong>&nbsp;seg\u00fan su demanda computacional.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Los centros de IA se han dise\u00f1ado espec\u00edficamente para la formaci\u00f3n y las cargas de trabajo de modelos de vanguardia, y la infraestructura centralizada seguir\u00e1 ofreciendo los mejores resultados en t\u00e9rminos de token\u00f3mica para esos casos de uso. Sin embargo, el video en tiempo real, la IA f\u00edsica y las experiencias personalizadas altamente concurrentes exigen inferencia en el punto de contacto&#8221;, se\u00f1al\u00f3 Adam Karon, director de Operaciones y director general del Cloud Technology Group de Akamai.<\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-akamai-y-nvidia-una-formula-pura-de-ia\"><strong>Akamai y NVIDIA, una f\u00f3rmula pura de IA<\/strong><\/h2>\n\n\n\n<p>La&nbsp;<strong>infraestructura distribuida<\/strong>&nbsp;permite&nbsp;<strong>reducir costos<\/strong>&nbsp;mediante asignaci\u00f3n din\u00e1mica de recursos. As\u00ed como&nbsp;<strong>mejorar<\/strong>&nbsp;la capacidad de respuesta en aplicaciones que requieren&nbsp;<strong>procesamiento<\/strong>&nbsp;inmediato.<\/p>\n\n\n\n<p>Entre los casos de uso se encuentran&nbsp;<strong>interacciones en videojuegos<\/strong>&nbsp;impulsadas por inteligencia artificial, sistemas de&nbsp;<strong>detecci\u00f3n de fraude<\/strong>&nbsp;en servicios financieros y procesos de transcodificaci\u00f3n y doblaje en&nbsp;<strong>medios digitales<\/strong>.<\/p>\n\n\n\n<p>En el n\u00facleo de la plataforma de la\u00a0<a href=\"https:\/\/reseller.com.mx\/?s=Akamai\" target=\"_blank\" rel=\"noreferrer noopener\">firma<\/a>,\u00a0<strong>los cl\u00fasteres de GPU<\/strong>\u00a0proporcionan la potencia necesaria para cargas de trabajo de\u00a0<strong>alta densidad<\/strong>. Como modelos de lenguaje y\u00a0<strong>procesamiento multimodal<\/strong>.<\/p>\n\n\n\n<p>Este&nbsp;<strong>entorno centralizado<\/strong>&nbsp;se complementa con una&nbsp;<strong>red global de edge computing<\/strong>&nbsp;que permite ejecutar&nbsp;<strong>inferencias<\/strong>&nbsp;cercanas al usuario. Evitando retrasos asociados a&nbsp;<strong>arquitecturas<\/strong>&nbsp;tradicionales.<\/p>\n\n\n\n<p>Dicha soluci\u00f3n se desarrolla sobre&nbsp;<strong>NVIDIA AI Enterprise<\/strong>&nbsp;y utiliza la arquitectura Blackwell junto con DPU NVIDIA BlueField para redes y&nbsp;<strong>seguridad aceleradas<\/strong>.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Las nuevas aplicaciones nativas de IA exigen una latencia predecible y una mayor rentabilidad a escala global&#8221;. Tambi\u00e9n indic\u00f3: &#8220;Al poner en funcionamiento NVIDIA AI Grid, Akamai est\u00e1 creando el tejido conectivo para la IA generativa, agencial y f\u00edsica&#8221;, a\u00f1adi\u00f3 Chris Penrose, vicepresidente global de Desarrollo Empresarial y Telco en NVIDIA.<\/p>\n<\/blockquote>\n\n\n\n<p>La\u00a0<strong>adopci\u00f3n<\/strong>\u00a0inicial de la plataforma se ha registrado en sectores con\u00a0<strong>alta demanda<\/strong>\u00a0de procesamiento y\u00a0<strong>baja latencia<\/strong>. Mientras que la Akamai confirm\u00f3 acuerdos comerciales para el despliegue de\u00a0<strong>infraestructura de GPU<\/strong>\u00a0a gran escala, lo que respalda el inter\u00e9s empresarial en este modelo.<\/p>\n\n\n\n<p><em>Por Carlos Ort\u00edz\/NotiPress<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Akamai Technologies anunci\u00f3&nbsp;la implementaci\u00f3n a escala mundial&nbsp;del dise\u00f1o de referencia NVIDIA AI Grid. Tiene el objetivo de&nbsp;habilitar&nbsp;una infraestructura de IA distribuida que&nbsp;optimiza&nbsp;la ejecuci\u00f3n de&nbsp;inferencias&nbsp;en tiempo real. Mediante un&nbsp;equilibrio&nbsp;entre latencia, costo y rendimiento. La compa\u00f1\u00eda\u00a0inform\u00f3 que esta\u00a0iniciativa\u00a0forma parte de la evoluci\u00f3n de\u00a0Akamai Inference Cloud. La plataforma integra\u00a0infraestructura\u00a0de NVIDIA basada en GPU RTX PRO 6000 Blackwell Server [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":32914,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[102,61],"tags":[3632,3625,1910,3626,3629,3633,3631,178,3627,180,502,2789,3630,186,3628],"class_list":["post-32911","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-esnoticia","category-todas-las-noticias","tag-adam-karon","tag-ai-grid","tag-akamai","tag-akamai-inference-cloud","tag-bluefield","tag-chris-penrose","tag-computacion-distribuida","tag-edge-computing","tag-gpu-rtx-pro-6000-blackwell","tag-ia","tag-ia-generativa","tag-inferencia","tag-infraestructura-de-inteligencia-artificial","tag-nvidia","tag-nvidia-ai-enterprise"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.4 (Yoast SEO v25.4) - 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