L&T’s Big AI Bet: ₹15,000 Cr Order To Build 10,000 NVIDIA-GPU AI Factory

Larsen & Toubro (L&T) has secured a mega order to build what it described as India’s largest single-cluster AI infrastructure, deploying 10,000 NVIDIA B300 GPUs at its Chennai data centre campus for US-based AI cloud company Together AI.

The order is classified in the range of ₹10,000 crore to ₹15,000 crore. The project will support Together AI’s cloud platform and cater to large-scale AI training, inference and fine-tuning workloads.

The project marks L&T’s entry into the AI Factory business as the engineering major looks to expand its presence in AI infrastructure. The facility will be developed by LTN Compute, L&T’s AI infrastructure subsidiary under Vyoma.AI, and will be hosted at Vyoma’s Chennai data centre campus.

Chennai Campus To Support AI Expansion

The Chennai campus is planned as a gigawatt-scale AI infrastructure site. Its first phase is designed for 250 MW, with power infrastructure readiness of 150 MVA.

The infrastructure will combine data centre capacity with accelerated computing, high-performance networking, ultra-low-latency interconnects and parallel storage. The setup is intended to support the deployment and scaling of AI workloads.

The platform will allow customers to deploy and scale AI workloads through a single infrastructure stack. L&T said the project is part of its broader push to build AI infrastructure in India.

L&T Expands AI Infrastructure Play

S N Subrahmanyan, chairman and managing director of L&T, said AI is becoming foundational across industries and that AI Factories will support this transformation. He described the deployment for Together AI as a milestone in L&T’s gigawatt AI infrastructure plans.

Together AI co-founder and CEO Vipul Ved Prakash said the company partnered with L&T to bring scale, resilience and engineering capabilities to AI infrastructure in India.

LTN Compute is developing AI-ready digital infrastructure across hyperscale AI data centres, sovereign cloud platforms, AI Factory services, GPU-as-a-Service and managed AI platforms.

The company said these services will cater to governments, enterprises, cloud providers and AI companies as demand for computing infrastructure continues to grow.