Indian cloud infrastructure provider E2E Networks plans to add 5.4 megawatts (MW) of AI computing capacity powered by NVIDIA’s Blackwell architecture, increasing its total capacity by nearly 59% to approximately 14.6 MW.
The proposed expansion will include NVIDIA HGX B300 systems and other Blackwell GPUs. The additional infrastructure is intended to support large-scale foundation model training, post-training, production inference, agentic AI and multimodal applications, according to the company.
E2E Networks said it is seeing demand for AI computing from higher education and research institutions, foundation model developers, AI-native startups, enterprises and public-sector programmes. The company plans to provide infrastructure hosted in India for workloads that require data to remain within domestic jurisdiction, including deployments in regulated and data-sensitive environments.
The expansion is designed to support multiple stages of AI development and deployment, from training models to running them in production. This includes inference workloads, where trained models generate responses to user requests, as well as agentic AI systems and multimodal applications that process different types of data.
“India’s AI builders are moving beyond the pilot stage,” said Tarun Dua, founder and managing director of E2E Networks. He said customers are increasingly training, fine-tuning and deploying both open-source and proprietary models, with demand for computing infrastructure operating within their organisational boundaries.
Dua added that the company was scaling capacity in response to “visible demand” for infrastructure that allows customers to protect their data under national laws.
The announcement comes as Indian cloud and data centre providers invest in infrastructure to serve AI workloads locally. GPU availability, computing capacity and the location of data processing are key considerations for companies deploying AI systems at scale, particularly those handling sensitive enterprise or public-sector information.
E2E Networks, listed on the National Stock Exchange and BSE, provides cloud and AI infrastructure services to startups, enterprises, research institutions and public-sector customers. The company did not disclose a commissioning timeline, the capital expenditure required for the expansion or the number of GPUs planned under the proposed addition.
