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As of February 2025, India has 153 data centres, with operational capacity expected to rise to 2027 MW by the end of 2025.

The rapid advancement of AI has amplified the need for data centres to be both powerful and sustainable. AI workloads demand immense computational resources, significantly increasing power consumption.

It’s 2025, and AI has joined the workforce—a bold shift that is reshaping businesses and industries while driving an urgent need for better computational infrastructure. Hyperscale data centers are at the core of this transformation, offering the power, cooling, and networking capabilities required to sustain AI’s exponential growth.

Data centers initially focused on mainframe computing and in-house IT, relying on centralized CPU-based architecture for structured workloads.

As digital transformation accelerates, the demand for data storage and processing is surging, placing immense pressure on data center infrastructure.

In today’s digital-first world, businesses require seamless connectivity to power remote teams, branch offices, and cloud-based applications. A Wide Area Network (WAN) is a high-performance network infrastructure that allows enterprises to connect locations worldwide securely and efficiently.

As businesses increasingly rely on digital transformation, the need for efficient, scalable, and secure computing infrastructure has grown. Cloud computing has emerged as a fundamental solution giving entities several benefits. These include streamlining operations, reducing costs, unmatched scaling, and improving flexibility.

As businesses continue to embrace digital transformation, cyber threats are escalating at an alarming rate. Today, organizations rely heavily on the Internet for communication, business transactions, and managing sensitive information.

Cloud computing in general refers to the delivery of computing resources such as servers, storage, databases, networking, software, analytics, and intelligence over the internet (“the cloud”). Cloud computing allows organizations and individuals to utilize technology resources on demand, with the benefit of scalability, cost-effectiveness, and flexibility.