Blogs and Articles

In a world where digital transformation is the key to business success, cloud services have become a pillar for contemporary organisations.

In today’s complex business operations, the need for flexible, scalable, and cost-effective IT infrastructure has become crucial for their success.

In a world of distributed workforces and cloud-first strategies, enterprises require seamless connectivity, security, and real-time insights. SD-WAN observability transforms network performance management from a reactive approach to a proactive, AI-driven strategy — enabling businesses to stay ahead in an increasingly complex digital ecosystem.

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

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.

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.

The Need, the Purpose, and Opportunity Global Capability Centres (GCCs) have evolved far beyond their original mandate of providing cost arbitrage through back-office support. Today, they are engines