Energy efficiency and AI computing

Power transmission efficiency is emerging as a crucial element for the future of computing dedicated to artificial intelligence and for competitiveness between different geographical areas. The ability to manage and optimize energy consumption has become a priority, especially for data centers that support AI workloads.

An energy-efficient infrastructure not only reduces operating costs, but also helps to decrease the environmental impact, an increasingly relevant aspect for companies and governments.

For those evaluating on-premise deployments, there are trade-offs to consider carefully. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.

Implications for data centers

Data centers, especially those dedicated to AI, require huge amounts of energy to power servers, cooling systems and other infrastructures. Improving energy efficiency in these contexts can lead to significant economic savings and environmental benefits. This includes the adoption of more efficient hardware, advanced cooling systems and intelligent energy management.