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G42 and Cerebras Deploy 8 Exaflops Supercomputer in India

AI Compute Capacity G42 Cerebras India AI Infrastructure Large Language Models Data Sovereignty
February 20, 2026
Source: TechCrunch AI
Viqus Verdict Logo Viqus Verdict Logo 6
Strategic Expansion, Not a Breakthrough
Media Hype 5/10
Real Impact 6/10

Article Summary

Abu Dhabi-based tech company G42 has partnered with U.S.-based chipmaker Cerebras to deploy 8 exaflops of computing power via a new supercomputer system in India. The project, announced at the India AI Impact Summit in New Delhi, aims to provide crucial computing resources for AI applications, particularly for educational institutions, government entities, and small and medium enterprises. The system emphasizes data sovereignty and security, adhering to local regulations. A key component of this initiative involves Nanda 87B, a Hindi-English large language model developed collaboratively by MBZUAI and G42, leveraging Meta’s Llama 3.1 70B model. Alongside this deployment, broader trends are emerging in India, with significant investment from global tech firms and domestic conglomerates – including Adani, Reliance, and Microsoft – indicating a concerted push to establish India as a major AI innovation hub. This development aligns with wider government initiatives to attract $200 billion in infrastructure investment over the next two years.

Key Points

  • G42 and Cerebras are deploying an 8 exaflops supercomputer in India.
  • The system prioritizes data sovereignty and security, complying with Indian regulations.
  • The project supports AI development for educational, governmental, and SME applications.

Why It Matters

This deployment represents a significant step in India’s ambition to become a key player in the global AI landscape. The 8 exaflops of computing power will accelerate AI research and development, particularly in areas where local data sensitivity is paramount. The scale of investment – including commitments from Microsoft, Adani, and Reliance – underscores India's strategic importance in the rapidly evolving AI market. While not revolutionary, this infrastructure build-out is a critical component of a national strategy to foster indigenous AI capabilities and competitiveness.

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