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Reliance and Adani Unveil $210B AI Infrastructure Push to Make India a Global Tech Hub

Reliance Industries and the Adani Group have jointly announced a $210 billion investment plan to build AI-driven data centers, quantum computing hubs, and green energy infrastructure across India, aiming to position the nation as a global leader in artificial intelligence by 2030. The initiative, centered in Jamnagar and Gujarat, includes over 120 MW of AI-specific power capacity by 2026.

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Reliance and Adani Unveil $210B AI Infrastructure Push to Make India a Global Tech Hub

Reliance Industries Limited and the Adani Group have unveiled a landmark $210 billion strategic investment plan to transform India into a global epicenter for artificial intelligence and next-generation computing infrastructure. Announced in early 2026, the initiative represents the largest private-sector technology investment in Indian history and signals a bold national ambition to rival the AI infrastructures of the United States and China.

According to Beritaja, Reliance has already broken ground on its multi-gigawatt AI data center complex in Jamnagar, Gujarat, with over 120 megawatts of dedicated AI compute capacity scheduled to come online by 2026. The facility, powered by a combination of solar, wind, and hydrogen-based energy systems, is designed to support massive-scale generative AI training, real-time language processing, and edge computing for India’s burgeoning digital economy. The project is part of a broader ecosystem that includes partnerships with global semiconductor firms and AI startups.

Meanwhile, MSN reports that the Adani Group is contributing over $100 billion to the joint initiative, focusing on building high-efficiency cooling systems, undersea fiber-optic cables linking Indian data hubs to global networks, and the development of India’s first national AI research grid. This grid, to be hosted across five regional campuses including Bengaluru, Hyderabad, and Pune, will provide open-access computational resources to academic institutions and startups under a government-backed public-private partnership framework.

Reliance Industries’ official corporate portal, RIL.com, confirms the company’s long-term vision of integrating AI across its core sectors — from retail and telecom to petrochemicals and new energy. Jio True 5G networks are being upgraded to support low-latency AI applications, while Reliance Retail is deploying computer vision systems in over 15,000 stores to optimize inventory and customer experience. The company also revealed plans to launch its proprietary AI model, "JioGPT," later this year, trained on India-specific linguistic and cultural datasets to serve over 1.4 billion users.

Analysts note that the $210 billion figure — combining Reliance’s $110 billion commitment and Adani’s $100 billion contribution — exceeds the combined AI infrastructure investments of Japan and South Korea. The scale of funding is made possible by India’s stable regulatory environment, favorable tax incentives for tech infrastructure, and a growing talent pool of engineers and data scientists. The Indian government has pledged to streamline land acquisition and fast-track environmental clearances for these projects under its "Digital India 2030" initiative.

Environmental advocates have raised concerns about the energy demands of such massive data centers, but both Reliance and Adani emphasize their commitment to sustainability. Each facility will be powered by 100% renewable energy, with excess capacity fed back into the national grid. Reliance has partnered with IIT Bombay to develop AI-driven energy optimization algorithms that reduce cooling costs by up to 40%.

As global tech giants like NVIDIA, Google, and Microsoft seek local partners to serve the Indian market, this alliance positions India not just as a consumer of AI technology, but as a producer. With the first phase of infrastructure expected to be operational by 2027, India could soon host the world’s largest AI training cluster outside the U.S., fundamentally altering the global balance of technological power.

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