L&T builds India's largest NVIDIA B300 AI factory for Together AI with 10,000-GPU capacity

Larsen & Toubro (L&T) has secured what it describes as India's largest single-cluster AI infrastructure order, marking a significant expansion into the fast-growing artificial intelligence factory business. Through its Vyoma.AI subsidiary and LTN Compute, L&T will set up a 10,000-GPU NVIDIA B300 AI Factory at its Chennai data centre campus for US-based AI cloud company Together AI.

The integrated AI Factory will power Together AI's native cloud platform for large-scale inference, fine-tuning, and training workloads. Vyoma's Chennai campus operates as a gigawatt-scale AI infrastructure site, with Phase 1 designed for 250 MW of power capacity and 150 MVA of power infrastructure readiness, enabling scalable expansion for future AI Factory growth. The facility combines hyperscale data centre infrastructure, accelerated computing, high-performance networking, ultra-low-latency interconnects, high-throughput parallel storage, and integrated AI infrastructure operations—enabling customers to deploy and scale AI workloads through a unified, end-to-end stack.

L&T Chairman & Managing Director S.N. Subrahmanyan said: "Artificial intelligence is becoming foundational to every industry and AI Factories will power this transformation. Our deployment of an NVIDIA B300 AI Factory for Together AI marks a significant milestone in L&T's Gigawatt AI Infrastructure Mission and reinforces our commitment to making India a global hub for next-generation AI infrastructure."

Together AI Co-founder & CEO Vipul Ved Prakash added: "Making AI globally accessible is going to be the biggest infrastructure build-out in human history, and L&T understands that. That's exactly why we partnered with them—to bring the scale, resilience and engineering excellence this moment demands to India."

Industry observers view L&T's move as a strategic expansion beyond traditional engineering, procurement and construction work, allowing the firm to leverage its engineering expertise while capitalizing on India's rapidly growing demand for AI data-centre capacity.