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McKinsey research shows that 92% of companies plan to increase theirAIinvestments in the next three years.
Data centers are already grappling with increasing energy use, and AIs growth and demand are only fueling this.
Despite this, many organizations are failing to track their environmental footprint when it comes to AI.
This is where data centers can play a crucial role.
By leveraging digital twins, facilities can connect AI ambitions with sustainability effectively.
Product Engineering Director at Cadence.
Digital twins use AI to gather intelligent insights and signpost gaps where facilities can improve.
While overprovisioning ensures that systems can continue to work as usual, it also results in considerable energy waste.
Another key area for reducing energy consumption is optimizing how data centers manage cooling.
Cooling accounts for nearly 40% of the total energy consumed by data centers.
However, beyond 20-25kW, a hybrid approach combining direct liquid cooling and precision air cooling becomes more effective.
It is also an increasingly viable alternative to traditional air-cooling methods.
Improving carbon reporting and regulatory compliance
Another benefit of digital twins is enhanced energy reporting.
Using data-driven insights, operators can make informed decisions that improve efficiency while reducing environmental impact.
However, particularly for data centers, integrating renewable energy requires strategic planning to ensure its correctly implemented.
By simulating different scenarios, operators can determine the most effective configurations before investing in newinfrastructure.
Embracing this technology is not just an option; its a necessity for a sustainable future.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
