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Global Tech Giants Pledge Billions to India AI

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Major technology firms and industrial groups have announced large-scale investments in artificial intelligence infrastructure during the India AI Impact Summit in New Delhi.

Reliance Industries and its telecom arm Jio revealed plans to invest nearly $110 billion over the next seven years to build AI and data infrastructure. Meanwhile, the Adani Group committed $100 billion toward renewable energy-powered AI data centres by 2035, with expectations of stimulating an additional $150 billion across related sectors.

Microsoft reaffirmed its broader initiative to invest up to $50 billion by the end of the decade to expand AI capabilities across developing regions, with India playing a central role.

Data centre operator Yotta also pledged more than $2 billion to develop one of Asia’s largest AI computing hubs using advanced Nvidia technology.

Further collaboration includes Tata Consultancy Services securing OpenAI as its first client for a new data centre initiative, while Larsen & Toubro announced a partnership with Nvidia to build large-scale AI-ready infrastructure.

These commitments collectively signal a major acceleration in India’s ambition to establish itself as a global hub for artificial intelligence development.

India’s AI Expansion Backed by $2B Nvidia Deal

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India’s artificial intelligence ambitions received a major boost as Yotta Data Services announced plans to invest more than $2 billion in Nvidia’s latest AI chips. The move aims to support the development of a large-scale AI computing hub in New Delhi as the company prepares for a potential public offering.

According to CEO Sunil Gupta, Yotta is also seeking to raise up to $1.2 billion from investors ahead of its IPO. While details of the fundraising remain limited, the initiative signals growing momentum in India’s efforts to strengthen its AI ecosystem.

India continues to position itself as a strategic destination for global data center investments, supported by its vast developer base and expanding digital infrastructure. This environment has already attracted substantial commitments from major technology firms such as Microsoft and Alphabet, contributing to nearly $70 billion in investments across the country.

As part of the project, more than 20,000 Nvidia Blackwell Ultra chips are expected to be deployed by August. Half of these will be utilized by Nvidia itself over the next four years for its DGX AI cloud platform, widely used by leading Indian IT companies including Tata Consultancy Services and Infosys.

Yotta, backed by the Hiranandani Group, currently operates three data center campuses across India. The upcoming AI supercluster in New Delhi will be supported by additional capacity from its Mumbai facility.

Industry sources also indicate that Abu Dhabi’s sovereign wealth fund Mubadala may be considering an investment in Yotta prior to its IPO, though no official confirmation has been made.

OpenAI, Samsung SDS and SK Telecom to Begin Korea Data Center Build

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OpenAI, Samsung SDS, and SK Telecom are preparing to begin construction of artificial intelligence data centers in South Korea as early as March, according to Science Minister Bae Kyung-hoon.

The South Korean government previously said the U.S. startup would form joint ventures with the two Korean firms to develop two facilities with an initial combined capacity of 20 megawatts. The planned infrastructure is intended to support AI model training and deployment, reinforcing South Korea’s role in the global AI supply chain.

SK Telecom confirmed it is in discussions with OpenAI regarding a data center project in the country’s southwest, though the exact timeline for construction remains under review. The collaboration reflects increasing partnerships between U.S. AI developers and Asian technology firms to expand computing capacity amid surging demand.

The initiative comes as major AI companies race to secure power, land, and advanced hardware to support rapidly scaling models. South Korea’s strong semiconductor ecosystem and digital infrastructure make it an attractive base for AI expansion, particularly as governments compete to host next-generation data facilities.