„Many specialised AI data centres are not location-dependent and are therefore likely to be concentrated in regions with multiple energy resources, especially green energy,“ says Ondřej Míček, Head of Industrial Agency at Savills. On the other hand, with the rise of AI-based services and applications that require fast data processing, the importance of edge data centres located close to where the data is generated will grow, in order to minimize latency.
The contribution of AI in data centres |
Requirements for data centres due to the use of AI |
Real-time resource use |
Cutting-edge data centre facilities |
Operational efficiency and cost-effectiveness |
Infrastructure |
Planning of resources as required |
Building design and maintenance |
Predictive maintenance for data centre equipment |
Operational and security protocols |
Forecast potential failures |
Area expansion caused by HW size |
Cybersecurity |
Data centre locations in regions |
Improving energy efficiency |
Enough green energy sources |
Reducing the environmental footprint of data centres |
Higher floor load capacity due to increased hardware weight |
Intelligent management of cooling systems and lighting |
Cooling infrastructure |
Ondřej Míček adds: "Artificial intelligence is beneficial for data centres, but on the other hand it changes their requirements. It is particularly useful in the optimization of resources, cybersecurity or reducing the environmental footprint of data centres. At the same time, AI changes the infrastructure and, due to the growing capacity of storage and hardware, requires larger spaces." In the field of cybersecurity, AI technologies can detect potential data centre security threats and can quickly respond to mitigate risks.
Full report is available here.