In a major push to strengthen India’s artificial intelligence capabilities, Larsen & Toubro (L&T) has partnered with NVIDIA to set up large-scale AI infrastructure under the IndiaAI Mission.
The engineering major said it plans to develop sovereign, scalable gigawatt-scale AI data centre infrastructure that will serve Indian enterprises as well as global hyperscalers and cloud providers looking to build capacity in the country.
What the Project Involves
The proposed venture will combine L&T’s infrastructure execution capabilities with NVIDIA’s AI technology stack, including GPUs, CPUs, networking systems and enterprise AI software. The aim is to build production-grade AI capacity rather than limited pilot projects.
L&T said the infrastructure will allow critical data, AI models and workloads to be developed and deployed within India. At the same time, it will remain interoperable with global ecosystems, making India a viable AI export hub.
Expansion in Chennai and Mumbai
As part of the rollout, L&T will scale NVIDIA GPU clusters at its Chennai data centre to 30 MW capacity within its 300-acre campus. In addition, a new 40 MW data centre is under execution in Mumbai.
The long-term vision is to build gigawatt-scale AI ‘factory’ infrastructure designed to handle high-density, next-generation AI workloads across industries such as manufacturing, energy, financial services, healthcare and public services.
Focus on Sovereign AI
The initiative aligns with the IndiaAI Mission’s objective of building sovereign AI capabilities. This ensures sensitive data and AI workloads remain within the country while giving Indian companies access to global-grade computing power.
L&T Chairman and Managing Director S N Subrahmanyan said the investment creates the foundation for secure and scalable AI deployment across core sectors of the economy. NVIDIA Founder and CEO Jensen Huang highlighted that AI infrastructure is becoming as critical as electricity and internet connectivity for nations worldwide.
Strategic Significance
Industry observers say the move signals India’s intent to position itself not just as a software services hub, but as a global AI infrastructure centre. If executed at scale, the partnership could attract hyperscalers and global enterprises seeking diversified AI capacity outside traditional markets.
The development also reflects the growing capital intensity of AI, where access to advanced chips and computing infrastructure is becoming central to economic competitiveness.
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