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Containment systems with integrated cooling mechanisms to regulate temperature
Range of accessories to enrich your living environment with enhanced IoT - based user
Your complete guide to Legrand solutions, across every product category, in one place
From elegant switches and energy-efficient lighting controls to advanced home automation and data center infrastructure, Legrand offers a complete portfolio designed to make spaces smarter, safer, and future-ready
Stories about future-ready solutions, sculpted with customer-focused objectives
India’s AI infrastructure story is accelerating at an unprecedented pace. The country’s data centre capacity is expected to cross 4 GW in the coming years, driven by hyperscale expansion, cloud adoption, and the rapid rise of AI-led workloads. Enterprises across sectors are investing heavily in AI-ready infrastructure to support real-time analytics, automation, and high-performance computing environments
Data Centers are no longer scaling in predictable ways
The data center industry is entering a different phase of growth. AI workloads, accelerated computing, and high-density environments are changing infrastructure assumptions faster than traditional design cycles can adapt. Rack densities crossing 100 kW are becoming increasingly common, while advanced AI clusters are already planning for 300–500 kW deployments.
A few years ago, building for the cloud was relatively straightforward. You picked a provider, scaled as needed, and optimized along the way. That simplicity is gone. In 2026, AI has changed the rules. Not just for software but for the infrastructure behind it. What used to be a single decision is now a series of trade-offs. Training versus inference. Cost versus performance. Speed versus control. And increasingly, one environment is not enough. The result is a fragmented ecosystem of AI infrastructure models, each solving a different part of the problem. And that shift is quietly redefining how data centers need to be designed.
