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Inside India's race to build Al-ready data centres at scale

DataQuest

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February 2026

As AI workloads scale, India's data centres are being redefined by power, cooling, sustainability, and trust, transforming them into core infrastructure of the digital economy.

- Shrikanth G

Inside India's race to build Al-ready data centres at scale

India's data centre industry has entered a decisive phase. What was once a conversation dominated by space, uptime, and connectivity has shifted sharply towards power density, cooling efficiency, and sustainability at scale. The rise of artificial intelligence workloads, particularly GPU-intensive training and inference models, has fundamentally altered how data centres are designed, built, and operated.

Enterprises, cloud providers, and governments are no longer planning for incremental growth. Instead, they are preparing for step-change demand driven by AI platforms, sovereign cloud initiatives, and the expansion of global capability centres. This shift is pushing infrastructure beyond traditional enterprise norms and exposing structural constraints that were previously manageable, most notably around power availability, grid readiness, and water usage.

Across India, new facilities are being conceived as Al-ready by default. This means planning for rack densities far above historical norms, designing cooling systems that can handle sustained thermal loads, and securing long-term power through a mix of grid supply, renewables, captive generation, and storage. The data centre is no longer a passive container for IT; it has become an active, engineered system that must balance performance, resilience, and environmental impact simultaneously.

POWER BECOMES THE PRIMARY DESIGN CONSTRAINT

DataQuest'den DAHA FAZLA HİKAYE

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When infrastructure learns: The rise of the Al-native core

AI-native infrastructure is moving from concept to operational reality, reshaping how organisations build, govern, and scale intelligence across their digital core.

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Bridging the gap between connectivity and compute at scale

As AI scales in India, data centres are evolving into high-density, low-latency platforms that unify connectivity, compute, and sustainability at national scale.

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PUE is not a grapefruit metric, anymore

So what are the new high-hanging fruits for data centre strategists today? And are players going after them?

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Even if Al demand fades, India need not worry - about data centres

For every megawatt (MW) of installed colocation capacity, users here generate approximately 13.2 PB of data monthly- compared to 0.3 PB for Australia and just 0.01 PB for Singapore. India's data centre growth is not dependent on one tech lever. Plus, it is phased and modular and not kneejerk. Manoj Paul explains these contours in detail.

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DataQuest

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AI infrastructure and systemic risk

What has been the biggest change in data centre industry-specially after AI workloads? Is Al-bubble a big risk for data centre infra- how much will it affect data centres if something cracks?

time to read

1 min

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Inside the Shift to High-Density, Al-Ready Data Centres

CtrlS' Vipin Jain discusses what it truly takes to build AI-ready data centres in India, balancing high density, liquid-ready cooling, resilience, and ESG accountability.

time to read

4 mins

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DataQuest

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Sustainability is now the headline, not a footnote

Sanjay Agrawal, Head Presales and CTO at Hitachi Vantara India and SAARC opines that the conversation is moving beyond headline metrics like PUE toward a broader view of how data lifecycle management and infrastructure efficiency reduce the overall environmental footprint. Let's see why and how- while also touching upon adjacent (or not-so-adjacent) factors like redundancies, availability and AI-readiness

time to read

3 mins

February 2026

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