Adani Group Pledges $100B for Green AI Data Centers
The Adani Group, a diversified conglomerate, announced it will invest $100 billion by 2035 to build an infrastructure of artificial intelligence data centers powered by renewable energy. The company stated the investment is expected to catalyze an additional $150 billion in related investments. The move reflects a growing global push to address the massive energy consumption of AI computing.
- The investment aims to expand AdaniConnex's data center capacity from 2 gigawatts (GW) to 5 GW, creating what it calls a "sovereign energy and computing backbone" for India's AI ecosystem. - Key partnerships are already in place with major tech companies, including Google for a gigawatt-scale AI data center campus in Visakhapatnam and Microsoft for projects in Hyderabad and Pune. The company is also deepening its collaboration with Indian e-commerce giant Flipkart to develop a second AI data center for its large-scale AI workloads. - To power this massive infrastructure, Adani Green Energy will utilize its 30 GW Khavda renewable energy project in Gujarat, the world's largest. More than 10 GW of this capacity is already operational. - Chairman Gautam Adani stated the goal is to build the "complete five-layer AI stack focused on India's technological sovereignty," ensuring India is a creator and exporter of intelligence, not just a consumer. - The initiative includes co-investing in domestic manufacturing for critical components like high-capacity transformers, advanced power electronics, and industrial thermal management solutions to secure the supply chain. - Recognizing the need for specialized skills, the Adani Group is collaborating with academic institutions to create curricula and labs focused on AI infrastructure engineering. - This move comes as AI workloads are shown to require significantly more power than traditional computing; AI-optimized server racks can demand 40-100+ kW compared to the 5-15 kW used by conventional racks. - The facilities will be designed for high-density computing and will use advanced liquid cooling systems to manage the heat output from powerful GPU clusters.
