India's Data Centre Capacity Surges Over Fourfold to 1,575 MW as AI Demand Accelerates

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India's data centre capacity has exploded from 375 MW in 2020 to approximately 1,575 MW, driven by surging AI demand and high-performance computing needs. The government is addressing environmental concerns through the SHANTI Act for nuclear power, renewable energy schemes, and new Bureau of Indian Standards efficiency metrics.

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India Data Centre Capacity Expands Dramatically

India data centre capacity has grown more than fourfold in just six years, climbing from 375 MW in 2020 to approximately 1,575 MW currently. Minister of State for Electronics and Information Technology Jitin Prasada confirmed these figures in a written reply to the Lok Sabha on August 5, 2026, attributing the expansion to accelerating AI demand and the rapid adoption of high-performance computing across the country

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. The surge reflects how AI infrastructure requirements are reshaping India's digital backbone, with data centre capacity becoming a critical national asset for technological advancement.

IndiaAI Mission Drives Sovereign AI Ecosystem

The government's IndiaAI Mission is building a sovereign AI ecosystem that encompasses compute capacity, foundational models, and indigenous applications. This initiative aims to democratize access to AI technologies while reducing dependence on foreign infrastructure

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. The mission positions India to develop homegrown AI capabilities that can compete globally while serving domestic needs. As AI demand continues escalating, the sovereign AI ecosystem approach ensures the country maintains control over critical technological infrastructure and data sovereignty.

SHANTI Act Introduces Nuclear Power for AI Infrastructure

A significant development in powering AI infrastructure is the enactment of the Sustainable Harnessing and Advancement of Nuclear Energy for Transforming India (SHANTI) Act. This legislation marks a strategic shift in India's approach to meeting the energy requirements of data centres and AI workloads. The SHANTI Act supports the future deployment of small modular nuclear reactors and micro nuclear reactors, providing reliable clean power specifically for emerging sectors like AI and data centres

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. This represents a departure from the previous exclusive focus on renewable energy, acknowledging that AI's substantial power demands require diverse, reliable energy sources.

Renewable Energy Initiatives Support Sustainable Expansion

The government has implemented multiple renewable energy schemes to support environmentally sustainable data centre growth. These include the Green Energy Open Access Rules, Green Energy Corridor Scheme, Green Term Ahead Market (GTAM), National Green Hydrogen Mission, National Programme on High Efficiency Solar PV Modules, Offshore Wind Viability Gap Funding Scheme, and Solar Park Scheme

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. However, the government response did not specify what portion of current or future data centre power demand these renewable energy programs will address, nor did it disclose dedicated funding allocations for AI infrastructure specifically.

Bureau of Indian Standards Publishes Efficiency Metrics

The Bureau of Indian Standards has published technical standards covering Power Usage Effectiveness, Carbon Usage Effectiveness, Cooling Efficiency Ratio, and Water Usage Effectiveness for data centres through its LITD 31 technical committee on Cloud Computing, IT, and Data Centres

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. The Bureau of Energy Efficiency has also notified the Energy Conservation Building Code (ECBC 2017) and the Energy Conservation & Sustainable Building Code (ECSBC 2024), which establish energy efficiency and water conservation norms relevant to data centres. The government's response did not clarify whether compliance with these standards is mandatory or voluntary, nor did it specify enforcement or auditing mechanisms.

Advanced Cooling Technologies Address Environmental Impact

Industry operators are increasingly adopting advanced cooling technologies to manage the environmental impact of expanding AI workloads. These include direct-to-chip liquid cooling, adiabatic cooling, immersion cooling, and closed-loop liquid cooling systems

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. Operators are also deploying high-density racks to support AI workloads while reducing power and water consumption per unit of compute. These technological innovations are critical as AI demand drives higher heat generation and cooling requirements compared to traditional computing workloads.

Water Consumption Concerns Remain Unaddressed

While the government outlined various energy efficiency measures, details on water consumption remain limited. The response noted that water requirements depend on cooling technology used and that groundwater extraction is regulated by Ministry of Jal Shakti guidelines

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. However, no data centre-specific water usage figures, consumption limits, or monitoring requirements were provided. This gap is significant given that water consumption for cooling represents a major environmental concern, particularly in water-stressed regions where many data centres are located. The lack of quantified targets raises questions about how effectively the government will manage this aspect of AI infrastructure expansion.

What to Watch For

The government's response leaves several critical questions unanswered. No projections were provided for future data centre capacity requirements or resource demand, making it difficult to assess whether current measures will prove adequate. The timeline for adopting Bureau of Indian Standards efficiency metrics remains unclear, as does the enforcement framework. Industry observers should monitor whether the government establishes mandatory compliance requirements and quantified environmental targets with measurable outcomes. The balance between nuclear power and renewable energy in meeting AI infrastructure needs will also shape India's long-term sustainability trajectory. As data centre capacity continues expanding to meet AI demand, transparency around actual electricity and water consumption figures will become increasingly important for assessing environmental impact.

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