Feb 6, 2025
The implementation of AI is creating an unprecedented situation: the need to build data centers capable of meeting the requirements of the expansion of this technology. In this sense, prefabricated buildings are a great help as a solution for the creation of suitable infrastructures for AI.
Experts' forecasts predict a massive growth in the use of AI across all types of economic sectors and by individual users. For example, according to Industry Wired, more than 70% of global companies will implement AI technologies by 2025. But the data centers from the first phase of the AI era are beginning to become obsolete. It is time to accelerate and make good decisions, acting promptly to avoid hindering the progress and development of this innovative technology. To achieve this, data centers must be built to meet the changing and increasingly demanding requirements of AI. Especially generative AI, which requires massive resources. And in this context, sustainable, efficient, and resilient prefabricated buildings play a key role in contributing to the successful implementation of this technology.
At VALL, we are ready to contribute to the advancement of AI in an environment of efficiency and sustainability by manufacturing and installing the physical infrastructures needed by the stakeholders in this sector.
The rapid growth of AI necessitates the quick installation of new data centers prepared for it, with spacious areas and adjacent liquid cooling zones. There is little room for delay, so agility in installation is essential to avoid falling behind. In this sense, the speed of assembly and operational readiness of prefabricated buildings is unmatched.
The competition is fierce, and all countries are at a key moment to prepare for this opportunity. Both at the governmental and private investment levels, having these facilities on their own soil is a plus. Prefabricated buildings as infrastructures for AI facilitate prompt installation in the right location, staying ahead of potential competitors and offering the conditions that AI data centers need. They also allow for a cost-effective relocation if these requirements change with the advancement of technological development in a few years. Currently, setting up a building for an AI data center for purchase or rent has the following priority requirements:
Space optimization is key in data centers in the AI era. In this sense, solutions like MaxiSpace, prefabricated buildings of large dimensions, even in height, and with steel structures, are an ideal choice. Their great height and diaphanous condition allow for a large amount of usable cubic meters per square meter of occupied floor space. 
In a constantly changing environment, adaptability is essential. Data centers for AI from a few years ago are already becoming obsolete. Those of the future may need to be different from the current ones. The modular prefabricated buildings provide the necessary adaptability to make their installation a profitable investment.
Cooling is an essential requirement in physical infrastructures for AI. Data centers need to be as cool as possible. It is not enough to have cooling and air conditioning systems. The importance of energy efficiency is even more demanding than in other sectors. It is crucial that the facilities offer excellent energy efficiency. A need that is even greater in inherently warm locations, as temperature affects aspects such as energy consumption, the efficiency of devices, their durability, and the costs incurred, among others. In addition, the balance between energy needs and environmental sustainability is vital, and efficient modular demountable buildings are ideal for this. Maxispace, the most solid and sustainable demountable building is an excellent choice.
For reasons such as costs and service availability, resistance is a key requirement for the design and installation of data centers in the age of AI. When it is not possible to choose a location free from adverse phenomena, it is necessary to choose resistant solutions capable of withstanding earthquakes or heavy wind and snow loads. The advantages of steel structures are clear in this regard. 
Sources: https://avance.digital.gob.es/RegistroInstaladores/Paginas/instalaciones.aspx - SPANISH https://www.digitalrealty.co.uk/resources/articles/data-centers-in-the-age-of-ai https://www.digitalrealty.co.uk/resources/articles/integrating-ai-with-legacy-infrastructure https://blog.equinix.com/blog/2024/08/06/5-considerations-for-choosing-data-center-locations
Experts' forecasts predict a massive growth in the use of AI across all types of economic sectors and by individual users. For example, according to Industry Wired, more than 70% of global companies will implement AI technologies by 2025. But the data centers from the first phase of the AI era are beginning to become obsolete. It is time to accelerate and make good decisions, acting promptly to avoid hindering the progress and development of this innovative technology. To achieve this, data centers must be built to meet the changing and increasingly demanding requirements of AI. Especially generative AI, which requires massive resources. And in this context, sustainable, efficient, and resilient prefabricated buildings play a key role in contributing to the successful implementation of this technology.
Prefabricated buildings and their importance in creating suitable infrastructures for AI.
Quick assembly and operational readiness at the pace of AI growth.
Prompt installation in the right location for an AI data center.
- Location near large large-scale electricity generation centers. Preferably close to places with stable renewable energy generation. It is important to note that AI consumes electricity massively and voraciously. If in 2023 the energy consumption of data centers was 49 GW, by 2026 it is estimated to be at least 96 GW.
- Climate. Choosing a cool climate is the best way to reduce energy needs for space cooling. Although this is not always possible. When located in warm areas, it is essential to have facilities with good energy efficiency.
- Regulations. Different countries and departments or municipalities within them may have different regulations that make one location more convenient than another.
- Quick access to cloud providers.
- Network availability and proximity to industrial environments.
Large AI data centers and prefabricated buildings of large dimensions, even in height.
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Modular and adaptable design, essential in data centers in the AI era.
Energy efficiency and cooling needs of an Artificial Intelligence data center.
Resistance.
Sources: https://avance.digital.gob.es/RegistroInstaladores/Paginas/instalaciones.aspx - SPANISH https://www.digitalrealty.co.uk/resources/articles/data-centers-in-the-age-of-ai https://www.digitalrealty.co.uk/resources/articles/integrating-ai-with-legacy-infrastructure https://blog.equinix.com/blog/2024/08/06/5-considerations-for-choosing-data-center-locations
Table of contents
- Prefabricated buildings and their importance in creating suitable infrastructures for AI.
- Quick assembly and operational readiness at the pace of AI growth.
- Prompt installation in the right location for an AI data center.
- Large AI data centers and prefabricated buildings of large dimensions, even in height.
- Modular and adaptable design, essential in data centers in the AI era.
- Energy efficiency and cooling needs of an Artificial Intelligence data center.
- Resistance.
