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Google will double AI capacity every six months for five years to tackle infrastructure limits and boost efficiency.
Google plans to double its AI serving capacity every six months for the next five years to meet surging demand, marking a shift to "stage two of AI" where physical infrastructure—power, cooling, and data centers—has become the main bottleneck.
Executives, including AI infrastructure lead Amin Vahdat, stress that scaling beyond raw computing power is critical, with innovations like the new Ironwood chips boosting efficiency.
Despite market concerns and an AI bubble debate, strong real-world usage drives investment.
Google aims for a 1,000-fold increase in AI capabilities by 2030, focusing on scalable systems, energy efficiency, and faster deployment of products like Gemini and Veo.
Google duplicará la capacidad de IA cada seis meses durante cinco años para abordar los límites de infraestructura e impulsar la eficiencia.