Al can't act as a replacement of physical manpower in DCs

We are moving towards smart data centres. Major vendors of IT and non-IT equipment have adopted AI, driven by market demand from customers and service providers. Basic specifications of all major IT and non-IT equipment come with AI-operated predictive control.

- By Punam Singh

In a recent insightful interaction, we sat down with Rohan Sheth, Head of Colocation, Data Centre Build and Global Expansion at Yotta Data Services, to discuss the transformative impact of AI and edge computing on the industry. Rohan shed light on the evolving role of data centres, the integration of Al in operations, and the future of cooling technologies.

THE EVOLVING ROLE OF DATA CENTRES WITH AI AND EDGE COMPUTING

When it comes to data centres, the first question that comes in is how do I design in terms of power usage and everything, in terms of the overall efficiency, power, cooling and everything? The same is the case with AI. The overall computing, training, and inferencing will only be possible if the number of data centres and the way data is stored and processed become more advanced, voluminous, and robust. This will enable faster adoption of AI.

AI'S IMPACT ON DAY-TO-DAY DATA CENTRE OPERATIONS

It’s an early stage. Al use cases are still in the training model. While data centres are upgrading their infrastructure to store AI workloads by enhancing power and cooling capabilities, AI applications from the last 5-10 years have significantly helped data centres in predictive operations.