L&T Vyoma is scaling its Chennai and Panvel data centers to meet growing AI infrastructure demand. The company has earmarked ₹9,000 crore for these expansions, aiming to deploy 200 MW of new capacity by FY27. This strategy leverages L&T’s core engineering strengths to quickly build high-performance GPU clusters.
L&T Vyoma, the digital infrastructure arm of Larsen & Toubro, is scaling up its data center operations to support the global surge in Artificial Intelligence. The company is transforming its Chennai facility, which currently operates at a 30-megawatt (MW) IT load, into a specialized 'AI factory' capable of hosting advanced hardware like Nvidia’s H100, H200, and Blackwell GPU clusters. This move is designed to attract global clients seeking secure, high-performance computing capacity outside of power-constrained Western markets.
Scaling Capacity and Investment
The company has set an ambitious expansion target, with plans to deploy an additional 200 MW of capacity in the coming years. According to Managing Director Prashant C. Jain, the second building at the Chennai campus is already in the early stages of development. Beyond Chennai, L&T Vyoma maintains a facility in Panvel, Maharashtra, which currently holds 2 MW of operational capacity. The group’s broader strategy involves expanding these existing sites while establishing new data centers in Mahape and Bengaluru.
To fund this growth, the L&T group has committed a total of ₹10,000 crore to its data center business, with roughly ₹9,000 crore specifically allocated to L&T Vyoma’s infrastructure projects through FY27.
Engineering Expertise and Energy Management
A critical factor for investors to monitor is the company’s ability to execute these large-scale projects. L&T Vyoma is utilizing the parent group’s established Engineering, Procurement, and Construction (EPC) capabilities to compress project timelines, which typically span 15 to 18 months for data center completion.
Energy efficiency remains a central focus, given the immense power consumption required for AI-ready servers. Currently, 40% of the company's power consumption is derived from renewable sources. The company is actively integrating innovative solutions, such as battery energy storage systems and grid-forming inverters, to manage high power loads and reduce dependency on traditional grids. Additionally, a new partnership with Fortanix Inc. aims to provide secure, sovereign AI solutions, specifically targeting regulated sectors in India that require strict data compliance.
Key Considerations for Investors
While the demand for AI infrastructure is rising, the success of this business unit will depend on several execution-related factors. Investors should track the company’s progress on the 200 MW deployment timeline, as data center projects involve complex permitting and power-sourcing requirements. Additionally, maintaining stable profit margins will be important as the company balances heavy capital spending with the competitive nature of cloud and co-location services. The ability to secure consistent, cost-effective power through long-term purchase agreements will also be a key factor in long-term operational costs.