Larsen & Toubro wins order for an AI factory project tied to NVIDIA

Larsen and Toubro (L&T) said it has secured an order to build an AI factory for NVIDIA, a deal the Indian company put in a wide valuation range of 100 billion rupees to 150 billion rupees, according to the company statement reported by Yahoo Finance on Thursday.

The reported contract size translates to about $1.05 billion to $1.57 billion, using the currency figures cited in the report. L&T did not provide, in the information available for this write-up, additional commercial terms such as the project timeline, customer contracting structure, or the specific components and infrastructure included in the “AI factory” description.

While the announcement links L&T’s construction work to NVIDIA, the public details provided in the report do not clarify whether L&T will supply the full facility build-out, integrate specific computing systems, or support any ongoing operations and upgrades. “AI factory” is not a single standardized term across the industry, and without further documentation, the exact scope remains unclear.

NVIDIA, for its part, has been broadly focused on building demand for its data center platforms and the broader enterprise and government build-outs that use accelerated computing, but the report did not cite an NVIDIA release that spells out its role in the project beyond the relationship named in L&T’s announcement.

For India, large-scale AI infrastructure projects are increasingly viewed as both an industrial development opportunity and a capacity ramp for data centers serving AI training and inference workloads. Major engineering firms such as L&T are well positioned for “turnkey” construction work when global technology suppliers and enterprise buyers seek reliable, industrial-grade delivery partners.

NVIDIA’s influence in AI factory ecosystems typically comes through the supply chain and deployment architecture around its accelerated computing, networking, and software stack, but the available report does not attribute any particular NVIDIA hardware model or software program to this specific site. As a result, analysts and readers will have to wait for further disclosure to connect the factory to NVIDIA’s most recent platform announcements or deployment frameworks.

In the near term, what matters is whether L&T provides follow-on details that can narrow the scope and schedule of the order, such as commissioning milestones, the number and type of compute systems, and whether the contract includes integration, power and cooling engineering, and test-and-acceptance phases. Any such disclosures could also affect how investors and customers interpret near-term revenue recognition and operational risk on the project.