E2E Networks plans to add 5.4 megawatts of artificial intelligence computing capacity in India, a move that would increase its total AI infrastructure by nearly 59 per cent to about 14.6 MW. The expansion will use NVIDIA’s Blackwell architecture and is intended to support large-scale AI training, deployment and inference workloads within the country.
The Indian cloud infrastructure provider said the proposed addition will include NVIDIA HGX B300 systems and other Blackwell GPUs. The new capacity is being planned as demand for high-performance AI computing grows across research institutions, startups, enterprises and public-sector programmes.
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Blackwell Systems to Power New Capacity
E2E Networks intends to use the expanded infrastructure for foundation model training, post-training, production inference, agentic AI and multimodal applications.
The company said demand for such computing resources is coming from higher education institutions, research organisations, foundation model developers, AI-native startups, enterprises and public-sector programmes.
The addition of 5.4 MW would take the company’s total AI computing capacity to approximately 14.6 MW. The expansion represents an increase of nearly 59 per cent from its existing capacity.
NVIDIA’s Blackwell architecture is expected to form the core of the expansion, with HGX B300 systems among the hardware planned for deployment.
India-Hosted Infrastructure Targets Sensitive Workloads
E2E Networks also plans to offer infrastructure hosted within India for customers whose data must remain under domestic jurisdiction.
The company said this could support deployments in regulated and data-sensitive environments where organisations require greater control over where their computing workloads and data are processed.
Tarun Dua, founder and managing director of E2E Networks, said Indian AI developers are moving beyond pilot-stage deployments and increasingly require computing infrastructure capable of supporting production-scale workloads.
He said customers also need infrastructure operating within their organisational boundaries to help protect data in accordance with national laws.
The planned expansion reflects growing attention among Indian cloud and data-centre providers to the availability of GPUs, computing capacity and the location in which data is processed as artificial intelligence systems move towards larger-scale deployment.
Timeline and Investment Details Remain Undisclosed
E2E Networks has not disclosed when the additional infrastructure will be commissioned. The company has also not revealed the capital expenditure planned for the expansion or the total number of GPUs that will be deployed.
The announcement comes as demand for locally hosted AI infrastructure rises across sectors that require high-performance computing while maintaining greater control over sensitive information.
With the proposed addition, E2E Networks is positioning its infrastructure to support a broader range of AI workloads, from foundation model development and post-training to agentic systems and multimodal applications.
The expansion also underlines the growing role of domestic computing capacity as Indian organisations seek to build and deploy advanced AI systems while keeping data and processing infrastructure within the country.
About the author — Suvedita Nath is a science student with a growing interest in cybercrime and digital safety. She writes on online activity, cyber threats, and technology-driven risks. Her work focuses on clarity, accuracy, and public awareness.
