Designing AI for scale: Why TCO matters more than ever
By Owais Mohammed, Sales Director, India, Middle East, and Africa, Western Digital
AI is fast becoming the engine of modern economies. And behind every AI breakthrough lies one simple reality: for it to work, the IT infrastructure must support and keep pace with unprecedented data growth and compute intensity, while ideally optimizing total cost of ownership (TCO).
Recent analysis suggests that AI-driven data centers could consume nearly 90 terawatt-hours (TWh) of electricity annually by 2026, with overall demand potentially doubling again by 2030. While much of this increase is driven by compute-intensive workloads, the projections underscore the importance of thoughtful system-level architectural choices. In large-scale environments, the right balance of compute, networking, storage, and data lifecycle management enables IT decision-makers to scale AI workloads more sustainably, optimizing energy use without compromising performance or long-term economics.
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