Mirror Review
February 20, 2026
Larsen & Toubro (L&T), the Indian multinational known for its massive engineering and construction projects, is now building the physical backbone of India’s digital future with NVIDIA.
This landmark partnership between L&T and NVIDIAis a central part of the $1+ billion IndiaAI Mission, which aims to boost India’s compute capacity.
By combining NVIDIA’s full-stack AI computing with L&T’s infrastructure expertise, the duo is creating a sovereign cloud environment where Indian data stays on Indian soil to fuel local innovation.
Building India’s Largest AI Factory
The core of the L&T and NVIDIA partnership is the development of an AI factory that operates at a gigawatt scale.
This is a specialized facility designed to train large language models and run complex AI workloads.
L&T plans to use NVIDIA’s latest Blackwell architecture and high-speed networking to ensure the facility meets world-class standards.
Key details of the infrastructure plan include:
- Scale: A multi-site approach reaching gigawatt capacity.
- Technology: Integration of NVIDIA GB200 NVL72 systems.
- Purpose: Supporting India’s mission to develop its own AI models and applications.
Strengthening the Local AI Ecosystem
This L&T and NVIDIA collab follows a series of major developments discussed at the India AI Summit 2026.
The summit highlighted how India is transitioning from being a consumer of technology to a primary creator.
Other local players are also expanding the landscape.
For instance, Yotta NVIDIA collaborations have already started deploying thousands of GPUs, while E2E Networks NVIDIA partnerships are helping startups access cloud-based AI computing, and OpenAI partners with Tata to develop 1 gigawatt of AI infrastructure, reinforcing India’s ambition to become a global AI compute hub.
The initial phase of the NVIDIA rollout includes:
- Chennai Expansion: Boosting capacity to 30 megawatts to support immediate AI workloads.
- Mumbai Facility: Breaking ground on a new 40-megawatt facility designed for hyperscale deployments.
- The TIR Platform: Hosting E2E Networks’ NVIDIA Blackwell cluster at the L&T Vyoma Data Center in Chennai to supercharge sectors like healthcare and finance.
L&T’s entry into this space adds the heavy-duty physical infrastructure needed to scale these efforts nationwide.
Why the L&T and NVIDIA Partnership Matters
India’s “AI Mission” is backed by a $1.2 billion government investment intended to boost computing capacity and foster innovation.
Jensen Huang, founder and CEO of NVIDIA, has noted that India has a unique advantage because of its vast data and world-class engineering talent.
Regarding the vision for the country, Huang stated, “India is already a world leader in software and services. With the rise of the AI factory, India is now positioned to export AI.”
By building this infrastructure locally, L&T ensures that Indian data remains within the country.
This concept of “Sovereign AI” allows the government and private companies to develop tools that understand local languages and cultural nuances without relying on foreign servers.
Transforming Indian Industries with AI
The impact of this L&T and NVIDIA infrastructure will be felt across several sectors:
- Manufacturing: Using AI agents to optimize supply chains and factory floors.
- Healthcare: Accelerating drug discovery and personalized medicine for the Indian population.
- Governance: Improving public services through automated AI assistants.
L&T is also looking inward, using NVIDIA’s platforms to enhance its own engineering and construction workflows. This internal use case serves as a blueprint for other industrial giants in the region.
End Note
The L&T and NVIDIA partnership marks a turning point for the technological landscape of the region.
By building the physical and digital foundations for high-end computing, these two companies are ensuring that the $1B+ AI infrastructure plan becomes a reality.
As these AI factories come online, India will likely move from simply providing tech talent to owning the very engines that drive the global AI economy.
