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Larsen & Toubro’s Vyoma.AI plans an NVIDIA B300 “AI Factory” at its Chennai data centre
The Apex Times

THE APEX TIMES

Business/The Apex Times/Aug 14, 6:15 AM EDT

Larsen & Toubro’s Vyoma.AI plans an NVIDIA B300 “AI Factory” at its Chennai data centre

The engineering and technology services group says its Vyoma.AI business will deploy NVIDIA B300 systems to support Together AI’s cloud platform for large-scale training and inference.

2 min readEditor-approved Apex article

Larsen & Toubro (L&T) is moving to build what it describes as an NVIDIA B300 “AI Factory” at its Chennai data centre, according to a report citing developments tied to its artificial intelligence platform. The initiative is intended to help run large-scale artificial intelligence workloads, including both training (the process of teaching models using large data sets) and inference (the process of using trained models to produce outputs for users and applications).

The plan centers on deploying NVIDIA B300 systems at the Chennai site, the report says. NVIDIA positions its data center accelerators as engines for running AI workloads, particularly for workloads that require high-performance compute for both model development and production use.

The same report links the capacity build-out to Together AI’s cloud platform, saying L&T’s deployment is meant to support Together AI customers that need access to compute for training and inference at scale. In practice, this kind of arrangement typically reflects demand from AI developers and enterprise teams that want infrastructure without building and operating their own full data centre stacks.

For NVIDIA, B300 is part of the company’s broader push to supply the underlying compute for the rapid expansion of generative AI services worldwide. The report does not provide technical specifications, but an “AI Factory” concept generally implies a purpose-built deployment of multiple AI processing units, networking, and supporting software designed to run sustained model workloads.

L&T’s is positioned in the report as the execution vehicle for the build. L&T has long operated in engineering and infrastructure, and data centre delivery is a natural extension of that capability for customers needing compute capacity in specific geographies.

Still, several commercially important details were not disclosed in the report. It does not specify the total number of NVIDIA B300 units to be installed, the expected timeline to completion, the power and cooling capacity of the Chennai deployment, or any financial terms tied to the arrangement with Together AI.

The report also does not state whether the Chennai “AI Factory” is intended to be exclusively dedicated to Together AI or available more broadly through ’s services. Without disclosures on utilization targets and pricing, it is difficult to gauge how quickly the asset would translate into revenue visibility.

Looking ahead, investors and customers will likely focus on whether L&T and its partners provide further information on build milestones, delivery schedules, and capacity ramp. For NVIDIA, additional announcements tied to named deployments can serve as indicators of demand for its latest data center AI systems, but the near-term impact will depend on disclosed scale and timing.

Why It Matters

  • The move highlights continued capital spending by major infrastructure players to expand AI compute capacity in India.
  • If executed as described, the Chennai “AI Factory” could help increase access to large-scale training and inference capacity for developers using Together AI’s cloud services.
  • For NVIDIA, named deployments of newer data center systems can announcement ongoing demand, though this report does not quantify the scale of the order.
  • The lack of disclosed commercial terms means investors will need further updates to assess revenue implications and timing.

Sources

Key Facts

  • Larsen & Toubro’s plans to construct an “NVIDIA B300 AI Factory” at its Chennai data centre.
  • The deployment is described as supporting Together AI’s cloud platform.
  • The capacity is intended for large-scale AI training and inference workloads.
  • The report ties the plan to NVIDIA’s B300 data center AI systems.
  • The announcement does not provide the number of systems, timeline, or financial terms.

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