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India to get 8-exaflop supercomputer from UAE amid AI development push: All you need to know

This landmark AI-powered supercomputer project was announced on the sidelines of the India AI Impact Summit 2026

Representative image of a supercomputer | Shutterstock

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India is all set to receive an AI-powered supercomputer from the United Arab Emirates, which boasts a processing capacity of eight exaflops.

The "national-scale" system, developed by Abu Dhabi-based global technology group G42—in collaboration with the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) and India’s Centre for Development of Advanced Computing (C-DAC)—is expected to be a major boost for India's AI infrastructure ecosystem.

For the unversed, an exaflop itself represents a processing power capable of executing a quintillion floating-point operations (FLOPS), and this supercomputer offers eight times that value.

Hosted within the country and designed to operate under India-defined governance protocols—with all data remaining within national jurisdiction—the new supercomputer is expected to meet sovereign security and compliance requirements, and will also serve as a foundational asset under the India AI Mission.

This landmark project was announced on the sidelines of the India AI Impact Summit 2026. Taking place from February 16-20 (later extended to February 21) at the Bharat Mandapam in New Delhi, it is centred around artificial intelligence, and brings together policymakers, industry leaders, innovators, and creators from India and abroad.

The move to install the supercomputer in India also comes after the 5th India-UAE Strategic Dialogue held in December 2025, and the visit of UAE President Sheikh Mohamed bin Zayed Al Nahyan, to India in January for discussions spanning defence, technology, space, and energy.

"Sovereign AI infrastructure is becoming essential for national competitiveness," said G42 India CEO Manu Jain.

"This project brings that capability to India at a national scale, enabling local researchers, innovators, and enterprises to become AI-native while maintaining full data sovereignty and security," he added.