Energy Dearth, Efficiency & AI: Future Of Datacentres


I&O leaders planning a new data centre or evaluating a colocation site should consider four critical site selection factors


Ashish Banerjee, Sr Principal Analyst at Gartner

FinTech BizNews Service

Mumbai, 2 June 2026: AI is reshaping data center site selection, design, infrastructure, and operations. Ashish Banerjee, Sr Principal Analyst at Gartner, discussed how data center infrastructures are evolving to help I&O leaders plan and develop data center strategies that thrive today and in the future. He was speaking at the Gartner IT Infrastructure, Operations & Cloud Strategies Conference in Mumbai today.

Key Takeaways

  • I&O leaders planning a new data center or evaluating a colocation site should consider four critical site selection factors:

    • Power availability and interconnect: Verified utility capacity, power purchase agreements (PPAs), and reliable grid connectivity are key considerations.

    • Market location: Tier 2 and Tier 3 markets often offer better availability and cost efficiency.

    • Energy strategy: Options for on-site generation or alternative power sources.

    • Community and regulatory engagement: Early engagement to address regulatory, environmental, and social concerns.

  • “Data centers expected to support AI and other high-density workloads should be designed for liquid cooling, as AI drives extreme rack power densities, making liquid cooling technology essential for efficient, scalable growth.”

  • “I&O leaders must also evaluate self‑contained add‑on modules to support high‑density equipment, offering customizable power densities and flexible cooling options, including integrated cooling or connections to a water loop.”

  • “Water usage is becoming a critical planning factor, requiring organizations to track consumption, prioritize closed-loop cooling where feasible, and explore water reuse strategies.”

  • “Heads of I&O should prepare for energy resilience challenges, including potential load-shedding requirements, AI-driven power fluctuations, and the need for better visibility and control over energy usage.” 


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