Things are changing faster than ever in the data centre space, and the adoption of Generative AI applications will place even greater loads on infrastructure. The deployment of ultra high density AI racks and the transition to either hybrid or liquid cooling approaches raises a number of significant engineering challenges for data centre operations teams. How ready are organisations to address them?

In this presentation, EkkoSense’s Matthew Farnell looks at where workloads are now and where they’re going, and sets out how the latest generation of AI-powered data centre optimisation tools can play a key role in preparing for and helping to drive this transition. He focuses on the need for absolute real-time white space visibility, whether that’s to manage complex infrastructure challenges, understand today’s new engineering realities, or to keep pace with AI’s remodelling of the data centre.

Given increased pressure on resources, it’s clear that operations teams are going to need way more support. Matthew outlines how innovations such as actionable advice for continuous optimisation, advanced cooling anomaly detection, and embedded ESG reporting can all play a part in helping to give operations teams much more control. He will also establish the important role that next generation simulation models can play in derisking the AI journey and discovering what’s achievable with your current infrastructure.