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As organizations rush to integrate AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. As my colleague Petrina Steele, Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management, scalability, and the impact of AI infrastructure on resources and energy consumption.  In this same article, Gary Aitkenhead, our SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. Read the full article below. #artificialintelligence #datacenter #sustainability 

As organizations rush to integrate AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. As my colleague Petrina Steele, Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management, scalability, and the impact of AI infrastructure on resources and energy consumption.  In this same article, Gary Aitkenhead, our SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. Read the full article below. #artificialintelligence #datacenter #sustainability 

As organizations rush to integrate AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. As my colleague Petrina Steele, Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management, scalability, and the impact of AI infrastructure on resources and energy consumption. In this same article, Gary Aitkenhead, our SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. Read the full article below. #artificialintelligence #datacenter #sustainability

As organizations rush to integrate AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. As my colleague Petrina Steele, Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management, scalability, and the impact of AI infrastructure on resources and energy consumption.  In this same article, Gary Aitkenhead, our SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. Read the full article below. #artificialintelligence #datacenter #sustainability 

As organizations rush to integrate AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. As my colleague Petrina Steele, Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management, scalability, and the impact of AI infrastructure on resources and energy consumption. In this same article, Gary Aitkenhead, our SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. Read the full article below. #artificialintelligence #datacenter #sustainability

As organizations rush to integrate AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. As my colleague Petrina Steele, Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management, scalability, and the impact of AI infrastructure on resources and energy consumption. In this same article, Gary Aitkenhead, our SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. Read the full article below. #artificialintelligence #datacenter #sustainability 

As organizations rush to integrate AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. As my colleague Petrina Steele, Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management, scalability, and the impact of AI infrastructure on resources and energy consumption. In this same article, Gary Aitkenhead, our SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. Read the full article below. #artificialintelligence #datacenter #sustainability 

As organizations rush to integrate AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. As my colleague Petrina Steele, Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management, scalability, and the impact of AI infrastructure on resources and energy consumption.  In this same article, Gary Aitkenhead, our SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. Read the full article below. #artificialintelligence #datacenter #sustainability 

As organizations rush to integrate #AI platforms into their businesses, the impact on data center energy requirements is skyrocketing, with future demand certain to rise. Petrina Anne Steele Steele, Equinix Global Lead, Emerging Technologies explains in this article, "by 2050, AI will be integrated into every aspect of life, and this evolving architecture must address data management and fewer data silos".  In this same article, Gary Aitkenhead, Equinix SVP of EMEA Operations, acknowledges increased energy consumption poses challenges for teams in terms of power distribution, cooling, and overall operational efficiency. To meet the growing demand for data and AI workloads, Equinix is proactively anticipating changes and taking steps to optimize energy efficiency. This includes deploying energy-efficient hardware, implementing infrastructure to support advanced cooling systems like direct-to-chip liquid cooling, and adopting renewable energy sources through power purchase agreements. cc InformationWeek Nathan Eddy #artificialintelligence #datacenter #sustainability 

As AI pushes data center energy consumption to new heights, resilient power infrastructure is more crucial than ever. The International Energy Agency (IEA) projects data center electricity usage will double by 2026, while training newer AI models consumes 50x more electricity than previous generations. With AI integration across sectors, the need for resilient power systems grows in importance and complexity. Data center operators must act now to boost resilience and meet AI's demands. Tackling power issues and human errors, especially inadequate UPS testing, is key to ensuring reliability in this tech-driven era. Let's power the future responsibly!