{"id":177477,"date":"2025-08-05T06:52:18","date_gmt":"2025-08-05T13:52:18","guid":{"rendered":"https:\/\/blog.everpuredata.com\/?p=177477"},"modified":"2026-01-24T07:11:12","modified_gmt":"2026-01-24T15:11:12","slug":"building-ai-ready-telecom-networks","status":"publish","type":"post","link":"https:\/\/blog.everpuredata.com\/le\/perspectives\/building-ai-ready-telecom-networks\/","title":{"rendered":"Desarrollo de redes de telecomunicaciones listas para la AI: Conocimientos de los l\u00edderes de la industria"},"content":{"rendered":"\n
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Resumen<\/h3>\n\n\n\n

Dos nuevos informes y un seminario web exploraron el impacto de la AI en la industria de las telecomunicaciones y c\u00f3mo las empresas de telecomunicaciones pueden estar mejor preparadas para construir redes listas para la AI.<\/p>\n<\/div>\n\n\n\n

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La innovaci\u00f3n impulsada por la AI abarca todo el sector de las telecomunicaciones. La experiencia mejorada del cliente, la seguridad de la red y las nuevas oportunidades de ingresos son solo algunas de las \u00e1reas de enfoque. El objetivo final de las telecomunicaciones es una red verdaderamente aut\u00f3noma y autorrecuperable. Pero queda mucho trabajo por hacer.\u00a0<\/p>\n\n\n\n

Para ayudar a los operadores a comprender mejor lo que significa la AI de telecomunicaciones a nivel de red, Pure Storage se asoci\u00f3 con Fierce Network<\/a> para crear un nuevo informe de investigaci\u00f3n, \u201cM\u00e1s all\u00e1 del ancho de banda: Desarrollo de redes de telecomunicaciones listas para la AI para la pr\u00f3xima generaci\u00f3n de demandas de datos<\/a>\u201d. El informe incluye entrevistas con representantes de MetTel, Telus y Verizon, junto con Patrick Lopez, director t\u00e9cnico de campo de telecomunicaciones de Pure Storage y Chris Penrose, vicepresidente y jefe de Desarrollo Comercial de Telecomunicaciones en NVIDIA.\u00a0<\/p>\n\n\n\n

Como evento complementario al informe, Penrose se uni\u00f3 a L\u00f3pez para un seminario web<\/a> moderado por Mitch Wagner, analista jefe de Fierce Network.\u00a0<\/p>\n\n\n\n

La conversaci\u00f3n fue amplia y perspicaz. Wagner se abri\u00f3 preguntando: \u201c\u00bfC\u00f3mo est\u00e1 cambiando la AI la forma en que las empresas de telecomunicaciones piensan sobre los datos?\u201d<\/p>\n\n\n\n

L\u00f3pez respondi\u00f3 con una verdadera perspectiva de la industria. \u201cLa AI es algo extra\u00f1o para una red de telecomunicaciones. No han sido dise\u00f1ados para manejar la AI ni para usar la AI\u201d. Una red de telecomunicaciones es b\u00e1sicamente un entorno de AI de campo verde para las telecomunicaciones, a pesar de que han estado usando aspectos de AI y aprendizaje autom\u00e1tico durante muchos a\u00f1os.\u00a0<\/p>\n\n\n\n

L\u00f3pez proporcion\u00f3 una lecci\u00f3n de historia y una perspectiva del estado actual de las cosas:\u00a0<\/p>\n\n\n\n

\u201cHist\u00f3ricamente, las funciones de red ten\u00edan su propio almacenamiento de datos basado en discos giratorios. Algunos de los datos recopilados iban a un conjunto de datos para ser formateados y preparados, y luego trasladados a un almacenamiento de datos para aplicar el an\u00e1lisis. Y eso est\u00e1 bien para analizar hasta hace medio d\u00eda o una hora\u201d.\u00a0<\/p>– Patrick L\u00f3pez, director de tecnolog\u00eda de telecomunicaciones de Pure Storage <\/cite><\/blockquote><\/figure>\n\n\n\n

\u201cDonde se vuelve dif\u00edcil es cuando quiere automatizar. Cuando quiera que la AI no solo observe y detecte, sino que realmente prediga y sugiera. O con la AI agente, tome decisiones y realice operaciones. Para hacerlo, debe reducir el tiempo de comprensi\u00f3n…\u00a0\u00a0<\/p>\n\n\n\n

La arquitectura de datos antigua de datos en cascada y varios protocolos no es buena para la AI, porque priva a la GPU y termina con decisiones tard\u00edas\u201d.<\/p>\n\n\n\n

Penrose estuvo de acuerdo y agreg\u00f3: \u201cDebe tener datos para que la AI funcione\u201d. Hablando desde la perspectiva de NVIDIA, se\u00f1al\u00f3: \u201cLas empresas de telecomunicaciones tienen una cantidad incre\u00edble de datos. \u00bfC\u00f3mo los ayudamos con todo su proceso de datos?\u201d<\/p>\n\n\n\n

Este es uno de los desaf\u00edos clave a medida que las empresas de telecomunicaciones se esfuerzan por convertir sus enormes cantidades de datos internos en resultados de AI \u00fatiles y procesables. En \u00faltima instancia, significa volver a examinar toda la red. \u201cUsted es tan fuerte como su eslab\u00f3n m\u00e1s d\u00e9bil\u201d, dijo Penrose. \u201cAs\u00ed que debe observar toda la cartera. \u00bfC\u00f3mo se ve la red, c\u00f3mo se ve el almacenamiento y necesita software optimizado para aprovechar al m\u00e1ximo la GPU?\u201d.<\/p>\n\n\n\n

Ese fue solo el intercambio de apertura. La conversaci\u00f3n continu\u00f3, analizando las redes aut\u00f3nomas, las f\u00e1bricas de AI de telecomunicaciones, la importancia de la AI soberana, los modelos de adquisici\u00f3n de tecnolog\u00eda, las preocupaciones sobre la potencia y el espacio, y mucho m\u00e1s. Sintonice usted mismo para aprovechar los resultados proporcionados<\/a>.\u00a0\u00a0\u00a0<\/p>\n\n\n\n

La llegada de AI-RAN\u00a0<\/strong><\/h2>\n\n\n\n

Otra \u00e1rea en la que la AI est\u00e1 teniendo un impacto es en la red de acceso de radio (RAN). Son los primeros d\u00edas, pero est\u00e1n sucediendo avances. Pure Storage anunci\u00f3 en marzo<\/a> que nos hab\u00edamos unido a la AI-RAN Alliance y estamos trabajando con muchos operadores y proveedores para hacer avanzar la tecnolog\u00eda.\u00a0<\/p>\n\n\n\n

Junto con The Mobile Network<\/a>, recientemente patrocinamos conjuntamente (con Fujitsu, Nokia y Viavi) un informe muy informativo de 36 p\u00e1ginas, \u201cAI-RAN Market Update<\/a>\u201d. Como se\u00f1ala el informe, la aseguradora m\u00e1s avanzada hasta la fecha es SoftBank<\/a> de Jap\u00f3n. Est\u00e1n reconstruyendo toda su red con la asistencia de AI-RAN. Como indica el informe, \u201cAITRAS deSoftBank, que significa AI & Telecom Radio Access Solution, incorpora vRAN e AI en el mismo servidor de GPU, que es Nvidia Grace Hopper 200. Red Hat OpenShift maneja las aplicaciones de plataforma y el entorno de nube, ya sean aplicaciones de AI o la vRAN que se ejecutan simult\u00e1neamente\u201d.\u00a0\u00a0<\/p>\n\n\n\n

Si bien SoftBank es el l\u00edder actual, T-Mobile<\/a> est\u00e1 comprometido con AI-RAN y ha establecido un Centro de innovaci\u00f3n AI-RAN con sede en Bellevue, Washington.\u00a0<\/p>\n\n\n\n

Hay mucha m\u00e1s informaci\u00f3n en el informe, incluido un art\u00edculo de Pure Storage sobre \u201cPor qu\u00e9 el almacenamiento desempe\u00f1ar\u00e1 un papel fundamental en la visi\u00f3n de AI-RAN\u201d (consulte la p\u00e1gina 19). AI contin\u00faa creando un impacto masivo en las telecomunicaciones, y Pure Storage est\u00e1 trabajando junto con nuestros numerosos clientes de telecomunicaciones para impulsar la innovaci\u00f3n y el cambio.\u00a0<\/p>\n\n\n\n

Explore <\/em><\/strong>las soluciones de AI <\/strong><\/em><\/a> y <\/em><\/strong>telecomunicaciones<\/strong><\/em><\/a> de Pure Storage. <\/em><\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Almacenamiento para el futuro de las redes de telecomunicaciones<\/h2>\n\n\n\n

Explore las soluciones de grado de telecomunicaciones<\/p>\n\n\n\n

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Learn More<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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