U.S.-based real estate investment firm Digital Realty and Canadian multinational company Brookefield Corporation are involved in Digital Connexions, a Reliance Industries joint venture investing $11 billion to develop one gigawatt of AI data capacity in the southern Indian state of Andhra Pradesh.
The project aims to establish an AI-native data center campus across 400 acres of land in Andhra Pradesh’s Visakhapatnam city.
Earlier this year, Google disclosed it will build AI data center capacity in Visakhapatnam over five years, set to be the tech major’s largest-ever AI hub outside of the U.S. India’s data center capacity is expected to more than triple to 4.5 gigawatt by 2030 from current levels, according to real estate consultant Colliers. Last week, Indian IT firm TCS also unveiled a partnership with private equity firm TPG to invest $2 billion in equity to form a joint venture aimed at developing AI data centers.
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Earlier this month, U.S. chip giant Nvidia also announced a $2 billion investment in India. The company has become a founding member of the India Deep Tech Alliance (IDTA), a consortium of private equity and venture capital firms committing $2 billion to support deep tech innovation. The initiative aims to back startups working in advanced sectors such as semiconductors, artificial intelligence, space technology, biotechnology, robotics, and energy.
The world’s most valuable company plans to provide specialized training sessions and knowledge-sharing programs for emerging Indian startups through its Deep Learning Institute.
Digital Realty also recently announced a collaboration with Nvidia focused on advancing the design and deployment of next-generation AI infrastructure at Digital Realty’s campus in Manassas, Northern Virginia.
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The site is home to Nvidia’s newly announced AI Factory Research Center, which supports several key initiatives, including the Nvidia Omniverse DSX blueprint for AI factories and digital twin for gigascale AI facilities, implementation of advanced liquid cooling technologies, and exploration of innovative approaches to power management and energy efficiency. These efforts are designed to benefit individual deployments and support best practices that advance the broader industry.
“The infrastructure requirements for AI are fundamentally different from traditional data center workloads, and meeting these demands requires deep collaboration between infrastructure providers and technology innovators,” said Chris Sharp, Chief Technology Officer at Digital Realty.
“Our work with NVIDIA represents a shared commitment to solving the complex technical challenges that enable AI deployment at scale, from advanced cooling solutions to power optimization and network architecture.”