Google presenta Axion, su primer CPU basado en Arm para centros de datos

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Google ha anunciado el lanzamiento de Axion, su primer procesador basado en Arm diseñado específicamente para centros de datos. Este nuevo chip representa la respuesta de Google a los procesadores Arm que Amazon utiliza en sus propios centros de datos.

Rendimiento y eficiencia energética mejorados

Axion está basado en el CPU Neoverse V2 de Arm y ofrece un rendimiento un 30% superior a las herramientas basadas en Arm más rápidas actualmente en la nube de Google Cloud. Además, supera en un 50% en rendimiento a las máquinas virtuales más recientes y comparables basadas en x86. En cuanto a eficiencia energética, Google afirma que Axion es un 60% más eficiente que estas máquinas virtuales basadas en x86.

Aplicaciones actuales y futuras

Google ya está utilizando Axion en servicios como BigTable y Google Earth Engine, y tiene planes de expansión para su uso en otros servicios y aplicaciones en el futuro.

Competencia en el mercado de procesadores para centros de datos

El lanzamiento de Axion coloca a Google en posición de competir directamente con Amazon, que ha liderado el mercado de procesadores basados en Arm para centros de datos con su procesador Graviton. Otros fabricantes, como NVIDIA con su procesador Grace, también están incursionando en este campo.

El desafío de la eficiencia energética

El anuncio de Google llega en un momento en el que la eficiencia energética en los centros de datos es una preocupación creciente. El CEO de Arm, Rene Haas, ha advertido sobre el consumo de energía de los modelos de inteligencia artificial, llamando a la necesidad de una mayor eficiencia para mantener el ritmo de los avances tecnológicos.

Perspectivas futuras

El desarrollo de procesadores como Axion y los avances en eficiencia energética son clave para abordar los desafíos que plantea el crecimiento de los centros de datos de inteligencia artificial, que podrían llegar a consumir hasta un 20-25% de los requisitos de energía de EE. UU. para finales de la década.

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