How AI is Redefining Data Centers

AI is playing a crucial role in transforming data centers, enabling businesses to operate more efficiently and resiliently.

Generative AI and machine learning are about to transform the landscape of data center design and construction in Brazil. Initially, they will drive demand for new, efficient, and secure data processing centers. This will address the growing need for infrastructure, supporting the expanding AI applications. As artificial intelligence emerges as one of the most innovative trends for the coming decade.

These technologies promise to redefine the way companies operate and compete automating a wide range of tasks, boosting productivity, reducing costs, and opening new opportunities for business growth.

Globally, a broad spectrum of jobs and business functions will be impacted, and the labor ecosystem tends to become smarter as AI advances. This will require the workforce to increasingly handle complex issues, adapting to the demands of a constantly evolving business environment.

However, digital transformation is neither linear nor democratic. In Brazil and Latin America, we face several challenges, such as the significant dependency on technologies from Europe, the United States, and other regions, both in the field of information technology and infrastructure.

To highlight one aspect of the vast challenge ahead, the conventional technologies currently in use in our country can cool racks up to 25 kW. However, AI-driven demand requires racks with capacities exceeding 100 kW, which presents significant cooling challenges.

The good news is that technologies are already available to overcome this limitation. One option is immersion cooling, capable of cooling large amounts of processing with low energy consumption.

However, it is imperative to reassess both the tax burden and the bureaucracy associated with importing new technologies. These are changes that can not only facilitate the introduction of innovative solutions, but also, enhance the competitiveness and efficiency of Brazil's data center sector.

The adoption of technological advances is crucial for our country’s business sector to evolve toward decision-making based on large data volumes. The faster these AI innovations are integrated the greater the competitive advantage will be, and the more significant the reduction of challenges tied to implementing AI models in business processes.

AI: A Springboard for the Data Center Sector

Artificial intelligence promises to radically transform the design and construction of data centers by directly applying it to optimize the data infrastructure lifecycle. From conception to maintenance and operation, factoring in energy efficiency, cooling, spatial distribution, and future expansion capacity.

The creation of more effective designs adaptable to technological, climatic, and market changes makes it possible to identify patterns and optimize construction processes. Reducing waste and delays, it can automatically monitor and adjust energy consumption in real-time, based on usage patterns, weather forecasts, and processing needs, ensuring more sustainable and cost-effective operations.

Additionally, AI promises to revolutionize the design and construction of data centers by enhancing everything from analyzing data center projects to how they are maintained.

Explore some ways this transformation can manifest:

Advanced Project Analysis:

AI can be used to conduct deep, detailed analyses of data center projects evaluating everything from energy efficiency, structural design, and spatial layout to capacity requirements. This allows for identifying optimized and personalized solutions to meet specific needs, acting as an investigative tool capable of providing appropriate answers to the most complex problems with minimal human intervention.

Enhanced Security and Digital Fraud Prevention:

AI can contribute to data center security through advanced behavior analysis, anomaly detection, and automated incident response, substantially aiding in protecting against cyberattacks.

Event Prediction:

Given the capability of powerful processors combined with the analysis of large data volumes, AI can identify patterns and make predictions about a wide variety of events. This ability is especially valuable in managing data centers, where anticipating trends and forecasting demand can be crucial for optimizing operational efficiency and ensuring reliable IT infrastructure performance.

Improved Energy Efficiency:

AI can play a key role in optimizing energy energy use in data centers, aligning with sustainability principles and significantly reducing operational costs.

Through advanced algorithms and real-time data analysis, AI can identify consumption patterns, dynamically adjust resources, and optimize the performance of cooling and energy systems, resulting in a more efficient and economically viable environment. These practices not only reduce environmental impact but also strengthen the resilience and competitiveness of data centers in today's market.

Advanced Predictive Maintenance:

AI makes it possible to anticipate potential equipment antes mesmo de sua ocorrência, viabilizando a implementação de failures before they occur, enabling the implementation of predictive and preventive maintenance strategies with high precision and accuracy.

Automated Management:

AI could automate numerous costly data center management tasks, from dynamic resource allocation to system performance optimization, freeing human operators to focus on higher operational advantage tasks or added value.

These are just a few examples of how AI is setting a new standard for the future of data centers, making them more efficient, resilient, and adaptable to the demands of an increasingly digitalized world.

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How AI is Redefining Data Centers

AI is playing a crucial role in transforming data centers, enabling businesses to operate more efficiently and resiliently.

These technologies promise to redefine the way companies operate and compete automating a wide range of tasks, boosting productivity, reducing costs, and opening new opportunities for business growth.

Globally, a broad spectrum of jobs and business functions will be impacted, and the labor ecosystem tends to become smarter as AI advances. This will require the workforce to increasingly handle complex issues, adapting to the demands of a constantly evolving business environment.

However, digital transformation is neither linear nor democratic. In Brazil and Latin America, we face several challenges, such as the significant dependency on technologies from Europe, the United States, and other regions, both in the field of information technology and infrastructure.

To highlight one aspect of the vast challenge ahead, the conventional technologies currently in use in our country can cool racks up to 25 kW. However, AI-driven demand requires racks with capacities exceeding 100 kW, which presents significant cooling challenges.

The good news is that technologies are already available to overcome this limitation. One option is immersion cooling, capable of cooling large amounts of processing with low energy consumption.

However, it is imperative to reassess both the tax burden and the bureaucracy associated with importing new technologies. These are changes that can not only facilitate the introduction of innovative solutions, but also, enhance the competitiveness and efficiency of Brazil's data center sector.

AI: A Springboard for the Data Center Sector

Additionally, AI promises to revolutionize the design and construction of data centers by enhancing everything from analyzing data center projects to how they are maintained.

Explore some ways this transformation can manifest:

Advanced Project Analysis:

Enhanced Security and Digital Fraud Prevention:

AI can contribute to data center security through advanced behavior analysis, anomaly detection, and automated incident response, substantially aiding in protecting against cyberattacks.

Event Prediction:

Improved Energy Efficiency:

AI can play a key role in optimizing energy energy use in data centers, aligning with sustainability principles and significantly reducing operational costs.

Advanced Predictive Maintenance:

AI makes it possible to anticipate potential equipment antes mesmo de sua ocorrência, viabilizando a implementação de failures before they occur, enabling the implementation of predictive and preventive maintenance strategies with high precision and accuracy.

Automated Management:

AI could automate numerous costly data center management tasks, from dynamic resource allocation to system performance optimization, freeing human operators to focus on higher operational advantage tasks or added value.

These are just a few examples of how AI is setting a new standard for the future of data centers, making them more efficient, resilient, and adaptable to the demands of an increasingly digitalized world.

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Discover the edge

Sign up for our newsletter to stay in the loop on the latest trends in technology and modular data centers.

Contact us

+ 55 11 94218 4020

atendimento@edgefy.com

Avenida Jerome Case, 2600 - Eden, Sorocaba - SP, 18.087-220

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1,4

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Case SERPRO

Block building, modular, alta capacidade de processamento, escalável, infraestrutura de energia eficiente

Certificação NBR/ABNT 10636

O novo data center modular do SERPRO (Serviço Federal de Processamento de Dados) possui certificação conforme a norma NBR/ABNT 10636, atendendo aos critérios estabelecidos para garantir um ambiente protegido contra diversos riscos.

Tier III

Além de uma infraestrutura física robusta e resiliente, o Data Center possui certificação Tier III pelo Uptime Institute. Dessa forma é possível realizar manutenções concorrentes sem impactar no serviço para garantir a disponibilidade.

PUE 1,4

O data center modular do SERPRO tem um PUE de 1,4 que é altamente eficiente, consumindo apenas 40% da energia total para operações de suporte, como climatização. Esse desempenho reflete um design otimizado e sustentável, garantindo economia e alta performance operacional.

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