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Google's TPUs, specialized AI chips, are scaling to meet growing demand with improved efficiency and performance.
Google's Tensor Processing Units (TPUs), introduced a decade ago, are now meeting growing AI demand as the company scales its AI infrastructure.
Designed specifically for machine learning workloads, TPUs have evolved to support both training and inference tasks efficiently.
Recent deployments show improved performance and energy efficiency, positioning TPUs as a key component in Google's AI strategy.
The chips are increasingly used across Google Cloud and internal services, reflecting broader industry shifts toward specialized AI hardware.
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Los TPU de Google, chips especializados de IA, se están escalando para satisfacer la creciente demanda con una mayor eficiencia y rendimiento.