Schneider Electric expects the reference designs to address the evolving demands of AI workloads while optimizing performance, scalability, and overall sustainability

The problem is only going to grow as high-powered AI-based computers and devices become commonplace. That's why University of Missouri researcher Chanwoo Park is devising a new type of cooling system that promises to dramatically reduce energy demands.

A detailed analysis of all energy saving opportunities should be made to ensure that the data center total cost of operation is minimized.

Every year, the information technology sector spends almost $7 billion on electricity costs, and much of that money goes to cooling computer processing units (CPUs) in data centers. At the Energy Department’s Sandia National Laboratories, researchers have developed an innovative new air-cooling technology - the Sandia Cooler - that improves the way heat is transferred in computers and microelectronics, significantly reducing the energy needed to cool CPUs in data centers.

Today, let’s take a look at how the smart robot developed by LG CNS can help data centers resolve their energy problems.

OptiBit, a startup working to find ways to keep power-hungry data centers humming in a more energy-efficient manner, won big at this year’s MIT Clean Energy Prize contest.

A number of efforts have been made to reduce the impact of data centers, both by using renewable energy to drive them, and to improve their efficiency.

Inertech is delivering innovative energy solutions for data centers, which use a free cooling cycle and make it possible to cut cooling energy consumption by up to 90% and water usage by up to 80%, depending on local conditions.