Digital Connexion has announced a major expansion in India with a plan to invest $11 billion by 2030 to build 1 gigawatt of AI-native data centres in Visakhapatnam, Andhra Pradesh. The company formalised the project through an MoU with the Andhra Pradesh Economic Development Board, marking one of the largest single data centre investments committed in the state.
400-Acre AI Data Centre Campus Planned
Under the agreement, Digital Connexion will develop the facilities across 400 acres. The company said the upcoming campuses will be purpose-built for high-density AI and high-performance computing workloads, featuring:
AI-first infrastructure
High-capacity power systems
Advanced cooling
Renewable-energy-driven operations
The firm stated that these sites are intended to support India’s AI acceleration and align with the Viksit Bharat 2047 vision, strengthening the national digital infrastructure backbone.
Part of Andhra Pradesh’s Rapidly Growing Data Hub
Andhra Pradesh is emerging as one of India’s fastest-growing digital infrastructure corridors. Earlier this year, the state signed an MoU with Tillman Global Holdings to build a ₹15,000-crore hyperscale data centre campus in Visakhapatnam. The state is also preparing to host India’s first indigenously built eight-qubit quantum computer in Amaravati this month, developed by Bengaluru-based QpiAI under the National Quantum Mission.
Digital Connexion currently operates a data centre campus in Chennai and is building a new facility in Mumbai’s Chandivali. The Andhra Pradesh expansion will significantly extend its footprint across India’s growing AI infrastructure market.
Low-Latency Connectivity and Sustainable Design
The company said the AP data centre sites will offer low-latency connectivity through carrier-neutral networks while prioritising sustainability through:
Renewable energy integration
Energy-efficient architecture
High-density cooling systems
Digital Connexion described this investment as a step toward becoming “India’s trusted digital infrastructure provider,” citing rising enterprise and hyperscaler demand for AI-ready capacity.
