India’s Data Centre ecosystem is increasingly being seen as a vital part of the digital economy. Growth in the implementation of cloud computing technologies, artificial intelligence, digital payment methods, enterprise applications, and connected services have created the need for more computing and storage capacity. But with this can come the question of whether there is enough infrastructure being developed to support the growth of computing capabilities related to data centres.
India’s data centre capacity has jumped from about 375 MW in 2020 to over 1,500 MW by 2025. At the same time, AI compute infrastructure has undergone rapid scaling, with over 38,000 GPUs being brought into the IndiaAI compute ecosystem. This is further straining the infrastructure that connects compute, storage and applications.
Data centers work interconnected with other data systems. Their efficiency on the market is influenced by connections with servers, storage facilities, clouds, and corporations, etc. With the increase in the number of data-intensive workloads needing to be processed, network performance becomes a more important point to consider in terms of using data center abilities.
Data Centres and the Networking Challenge
The increasing trend of relying upon digital offerings is also driving costs incurred on disruptions. Banking transactions, government activities, commercial applications, telecom services, and e-commerce depend on connectedness. Thus, resilience must include not just backup power and redundant servers. Connectivity between physical locations, cloud services, and end users must use redundancy and failover systems, too.
This becomes increasingly significant because of the geographical spread of data centres in India. Several data centres are coming up in the established hubs of Mumbai, Bengaluru, Hyderabad, and Chennai besides new locations. This means that interconnection becomes a very critical aspect. Resilient digital infrastructure calls for networks capable of rerouting the traffic in case of disruptions at specific links or locations.
The following stage of digital infrastructure construction will also be affected by edge computing. Some workloads, however, will be carried out at a centralised infrastructure. In addition, sectors, including industrial processes, connected devices, and certain AI systems, that need nearly real-time computing will look for closer proximity to data processing points.
Hence, this indicates that a more complex design of the network will take place. In such cases, data should be transmitted between main data centres, regional points of transfer, edge units, and other facilities, including cloud and enterprise ones. Furthermore, a more reliable connection will be needed.
Networking has transformed into more than a simple process of data transfer. Today, it encompasses thinking of ways to adapt to workloads, manage traffic and ensure performance uniformity. While the discussion surrounding data centres usually centres on the topics of the location, power supply and cooling, the importance of the networking element in providing the high level of efficiency should not be underestimated.
High-density computing setups require high-speed network connectivity without additional use of power and complexity of maintenance. The increase in AI workloads leads to the minimisation of the importance of efficiency in the entirety of the infrastructure.
The size of the issue with electricity supply is enormous. AI data centres are supposed to contribute approximately 26.3 GW of electricity load by 2031-32. That means there will be certain requirements for infrastructure because of the new phase of AI-related growth.
There has been a surge in the establishment of data centres which has raised the concern of network security. The increasing interaction among users, systems and computing environments has changed networks into a very significant area of control and monitoring. Security requirements have to align with those of technology. Companies need to have the right infrastructure to support high traffic density but do so in a secure way by way of tracking, classification and security technology without adding too much complexity and time delays.
India is in need of attention too. As economic activity now very much depends on digital infrastructure, developing domestic capabilities in both hardware and software will help India to establish its own technological independence. Having domestic capability does not mean that the country must depend solely on its own capabilities and must stop using the technology available worldwide. It means that the country is able to develop the technology that suits its domestic needs and requirements.
The increase in data centers in India can be linked to the shift to digital technology within the country. In the future, the process of growth will require further investments in infrastructure planning as this process includes infrastructure related planning.
This means that the aspects of data center capacity, processing power and data transfer cannot be thought of separately as they are connected. Growing capacity is necessary for over the data transfer, and data transfer creates network requirements.
AI is essential as it becomes a major part of the digital economy. Global investments in data centres are expected to accelerate significantly by 2030, driven by rising AI workloads and digital demand. In India, data centre capacity is also projected to expand substantially, with industry estimates ranging from around 5 GW to 12 GW by 2030.
For India, opportunity is not only to create additional data centers. It is also to grow an ecosystem in which computing, connectivity, power, security, and resilience all develop hand in hand.
While data centers host the computing power behind the digital economy, the network facilitates the digital economy’s computing power to communicate, expand, and deliver value. India should keep networking in mind while creating the next generation of digital infrastructure by integrating it into its core architecture.
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