AI reshapes data center needs

The rise of artificial intelligence is changing how data centers are designed and operated. Traditional needs focused on hosting more servers, but now the emphasis is on meeting higher power demands, ensuring resilience, and addressing environmental concerns.

Higher power demands require new cooling methods

With AI, some infrastructures now require 100 to 140 kW per rack, which makes air cooling less effective. Direct liquid cooling is becoming necessary for these high-density setups, though most current enterprise workloads still use much less power.

Sovereignty involves multiple layers of control

Sovereignty in data centers is not just about hosting data in a specific country. It includes site selection, operations, security, ownership, and choices about software and hardware. Aligning with French and European standards helps meet the needs of sensitive sectors.

Optimizing four key parameters for data centers

Future data centers must balance electricity, water, heat management, and access to power. Connecting to the grid and securing megawatts quickly are now design constraints. Hybrid cooling methods and real-time AI decisions based on weather and energy availability will be essential.

A broader territorial approach to data center design

Designing data centers must consider local factors such as energy and water use, biodiversity, electrical networks, noise, and heat reuse. These considerations must be included from the start and involve local authorities, businesses, and neighbors.

Expertise is critical for resilient and dense data centers

As data centers become more resilient, dense, and automated, managing them requires specialized knowledge. Liquid cooling, for example, demands collaboration across energy, IT, and security teams. Continuous training and industry collaboration are essential for success.