The rapid expansion of AI is placing significant stress on data centers and national infrastructure, with 75% of data centers reporting increased demands. IT leaders express concern over the energy efficiency and sustainability of their operations, with the majority striving to improve their practices. Despite efforts, only 30% feel they are adequately addressing the challenges. Hyperscale and colocation centers show more confidence in their energy efficiency measures, driven by ambitious carbon neutrality targets. A skepticism about true capabilities suggests a gap between perceived and actual readiness to transform data center operations sustainably.
AI is driving increased capacity demands," said Mark Fenton, Cadence's product engineering director. "However, the reality is that its current footprint is relatively modest compared to its future size."
This reflects the fact that most hyperscalers have already announced carbon neutral targets for 2025 or 2030 - goals they intend to reach through offsetting emissions, improving energy efficiency, and embracing sustainable energy sources," said Fenton.
While three-quarters are using AI and machine learning technology, many decision makers seem to exaggerate their capabilities to transform data centers promptly.
It's irrefutable that they have greater funds to pursue these measures, but their efforts do illustrate what's needed across all facility types to make the industry more sustainable.
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