India’s AI deal with the UAE challenges U.S. cloud dominance

2026-06-01 · Source: Rest of World - · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

India is partnering with the United Arab Emirates' G42 to deploy an AI supercomputer, aiming to reduce reliance on U.S. cloud providers like Amazon, Microsoft, and Google. The May 15 agreement involves G42, backed by Abu Dhabi's Mubadala, installing 64 Cerebras-made systems in India, with G42's unit managing operations and Cerebras providing technical support. This initiative complements India's existing \$45 billion commitments from U.S. companies and its national AI program, which currently uses 34,000 Nvidia processors with a target of 100,000 by year-end. The G42 deal offers India AI infrastructure on its own soil, under its governance rules, through a non-U.S. partner. This reflects India's pragmatic approach to AI sovereignty, assembling capabilities from diverse partners. The choice of Cerebras chips, known for speed in running AI applications, aligns with India's focus on deploying AI in sectors like healthcare and agriculture, contrasting with Nvidia's strength in model training.

Key takeaway

For national AI program executives evaluating infrastructure strategies, this deal highlights the imperative to diversify computing partners beyond traditional cloud giants. Your organization should explore non-U.S. vendors and specialized hardware like Cerebras for specific inference workloads, ensuring data sovereignty and reducing single-vendor dependency. Proactively seek partners offering owned infrastructure models to align with evolving national control objectives.

Key insights

India's AI sovereignty strategy diversifies computing partners and hardware to mitigate reliance on dominant cloud providers.

Principles

• AI sovereignty necessitates multi-partner capability assembly.
• Governments increasingly prefer owning AI infrastructure over renting.
• Hardware selection should align with specific AI workload needs.

Method

G42's Intelligence Grid involves building, owning, and operating global AI facilities for government clients.

In practice

• Consider Cerebras chips for high-speed AI application deployment.
• Explore non-U.S. partnerships for AI computing infrastructure.
• Establish clear data governance for in-country AI deployments.

Topics

• AI Sovereignty
• Cloud Computing
• AI Infrastructure
• G42
• Cerebras Chips
• India-UAE Partnership
• Data Governance

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Editorial summary, takeaway, and curation by AIssential. Original article published by Rest of World -.