India is racing to build the computing infrastructure for an AI-powered economy. But beneath the excitement around new data centres, GPUs and computing capacity lies a harder question: are the standards governing the physical infrastructure behind this expansion keeping pace?
India’s operational data-centre capacity is projected to grow from around 1.8 GW in the first half of 2026 to 7–8 GW by 2030. An estimated 6.5 GW of AI data-centre capacity is expected over the next five years. This infrastructure will support a digital ecosystem serving more than 1.03 billion active internet users and processing around 22 billion UPI transactions every month.
When such critical infrastructure fails, the impact extends beyond one building or company. Industry research puts the average cost of IT downtime at roughly per minute for medium and large enterprises in 2026, or $540,000–$900,000MW per hour. For AI training clusters or real-time financial services, the cost can be several times higher.
Data centre reliability is not “normal building” reliability
A data centre is not an office tower, mall or typical industrial facility. Its reliability requirements operate on an entirely different plane.
A typical office building might target around around 99.9% availability about 8.8 hours annually. A Tier III data centre must deliver 99.982% availability, or roughly 1.6 hours of downtime, while Tier IV facilities push this to 99.995%, or about 26 minutes.
Achieving this requires fundamentally different architectures. Tier III facilities typically use N+1 redundancy so individual components can be taken offline without interrupting operations. Tier IV facilities use fault-tolerant 2N or 2(N+1) configurations with independent power and cooling paths. A conventional commercial building, by comparison, may have a single transformer, generator, UPS and distribution path.
The difference matters because a data-centre failure can simultaneously affect businesses, consumers and essential digital services.
The reliability gap shows up in cost: US vs India
This reliability gap also has a direct cost implication. Building a data centre in the United States is significantly more expensive than in India, with part of that differential reflecting the higher reliability standards US developers routinely target.
Indicative 2026 construction costs for standard hyperscale or colocation facilities are around $10–13 million per MW in the US, compared with $6–8 million per MW, or roughly ₹50–65 crore, in India. For AI-optimised facilities using liquid cooling and supporting high-density workloads, costs can reach $20–25 million or more per MW in the US, against approximately $8.5–11.5 million, or ₹70–95 crore, in India. Tier IV mission-critical facilities cost around $12–16 million per MW in the US, compared with approximately $8.5–11 million, or ₹70–90 crore, in India.
US costs reflect investments in Tier III/IV redundancy, robust substations and medium-voltage switchgear, advanced liquid cooling for 40–130 kW AI racks, extended generator fuel autonomy, and rigorous commissioning and testing. India benefits from competitive land and labour costs, alongside simpler redundancy in many projects and a still-evolving reliability culture.
As AI workloads proliferate and rack densities climb, the distinction between standard and AI-ready reliability will become increasingly important.
What drives data centre reliability?
Reliability is the outcome of multiple interlocking systems performing as one. It requires fault-tolerant electrical architecture, robust backup power, cooling systems designed to withstand individual failures, early-warning fire detection and appropriate suppression.
These systems must be supported by rigorous commissioning, periodic load testing and electrical-safety audits as computing loads evolve. Strong operational discipline in maintenance, change management and incident response is equally important throughout the facility’s operating life.
Electrical issues alone account for roughly a quarter of data-centre outages, underscoring why the “invisible” infrastructure, including cables, conductors, switchgear and UPS systems, can be as critical as the servers it supports.
From individual codes to an integrated national framework
India’s revised National Building Construction Standards 2026 (NBCS) is an important step. Its stronger fire and electrical-safety provisions, specific guidance for data centres and emphasis on “safety by design” recognise the changing nature of critical infrastructure.
But codes alone do not guarantee outcomes. India now has an opportunity to build on NBCS 2026 and move towards a coherent national framework for AI-driven and other critical data centres.
Such a framework should calibrate requirements to power density, operational criticality and risk rather than treating all facilities alike. It should establish measurable minimums for redundancy, uptime, commissioning and testing. Compliance should also extend beyond construction approval to periodic testing, inspection and electrical-safety audits throughout the facility lifecycle.
Finally, regulatory harmonisation is essential. Building codes, electrical standards, fire-safety requirements and data-centre regulations need to operate as an integrated framework, supported by closer coordination among MeitY, BIS, electrical-safety authorities, fire-safety regulators and relevant standards-setting bodies.
For a country preparing to become a global AI powerhouse, standardisation is not a technical afterthought. It is part of the infrastructure on which that ambition will ultimately stand. Capacity without resilience can become a vulnerability. Reliability, done well, becomes a competitive advantage.
By: Hemanth Gupta, Director, E-Mobility, International Copper Association India
