How the design of the data centers of the future changes, in response to the needs of the AI

THE’TO THE Generative is radically redefining the design of IT infrastructure, imposing new challenges and opportunities: the exponential increase in calculation power, the need for advanced solutions for cooling and recovery of energy, …

How the design of the data centers of the future changes, in response to the needs of the AI


THE’TO THE Generative is radically redefining the design of IT infrastructure, imposing new challenges and opportunities: the exponential increase in calculation power, the need for advanced solutions for cooling and recovery of energy, the optimization of operational management through predictive models and systems Intelligent. All fundamental transformations.

IT infrastructure

Denelns, multidisciplinary engineering company specialized in the sustainable design of Data Centertook care of the implementation of over 6 thousand data centers in 135 countries. In Italy it has 102 data centers located mainly in the north of the peninsula. Fundamental interventions to be at the forefront and answer the exponential growth of the application for Data Center.

The economic “value”

The importance must also be measured by the overall value that has gone from 30.4 billions of dollars of 2022 and will arrive at 46.3 In 2028, according to what the report reveals “Global Data Center Colocation Market-Outlook & Forecast 2023-2028“Made by Researchandmarkets.com.

The iPattoDel’ai

Generative artificial intelligence (IA) represents a transformation force with vast implications and will be increasingly interconnected to growth in the data center application ad high performance. The new generation data centers that will host the AI ​​will, in fact, be able to support enormous calculation needs, generating more and more production high of heat, which will be recovered and reused in the form of energy. But not only.

It is estimated that also the electric power and the energy needs of a data center for the AI they will double. And again: the data centers will have to offer Large spaces storage through scalable and reliable storage resources. As companies integrate it into their activities, exploiting their functionality for predictive maintenance, the optimization of the allocation of resources and the advanced analysis of data, exponentially increases the demand for robust data centers, capable of supporting loads of work requested by the new scenario.

The Healthcare sector

That of the Health Big Data is the sector that train growth. These include clinical, epidemiological, genomic, molecular information available in the databases of health organizations, play an increasingly important role in the sector and using them by putting an health system in a position to learn from their information background, is the approach of Learning Healthcare System (LHS ) which allows you to increase quality and safety of care as well as reduce The costs of the health system.

The data centers are therefore an asset fundamental To host health information management systems (HIS), medical imaging systems, telemedicine applications and other critical technologies for the supply of health care.

The large dimensions

From the dimensional point of view, most Italian data centers are today of medium and small power (<10mw) while the data centers with high power (> 10mw) today represent the area of ​​the most development of the market. According to the development plan 2023 published by Terna, it can be observed that the first connection request made in 2013 was for a power in withdrawal equal to 50 MW, in the province of Milan. For the next 7 years the situation remained unchanged until, in 2020, the required power went from 50 MW to 590 MW (+1080%).

From 2020 onwards the power request increases almost exponentially, going from 590 MW to 2020, to 980 MW (+66%) in 2021 and finally to 1.82 GW in December 2022 (+80%).

Transform data centers models thanks to generative AI

Generative requires data management infrastructures with far higher capacity than that of the conventional clouds. This requires a strategic revaluation of the existing infrastructure to accommodate the evolving panorama of technologies AI and optimize their integration into the data centers, which can revolutionize their operating models by making use of the support of AI.

All this is possible, for example, to predict workload models, optimize the allocation of resources, reduce energy consumption, reduce operating expenses, improve sustainability, analyze the data center infrastructure to redesign it and optimize the options of Layout.

Optimize the life cycle of data centers

The generative artificial intelligence tools for the optimization of assets allow a complete approach to the management of the database life cycle, including mechanical, electrical and hydraulic equipment (MEP) and servers, prolonging the operational duration and positively affecting costs e on sustainability.

This can even include the reduction of capital expenditure necessary for the frequent replacements of the equipment, with consequent substantial savings and a more efficient allocation of resources.

Finally, the role of artificial generative intelligence extends to environmental considerations, such as the evaluation of cooling opportunities and the state of network infrastructures nearby, as well as the exploration of the options for the reuse of the heat heat in surrounding entities such as farms, fish farms and schools.