Home / Semiconductor
L&T Vyoma AI data centre
L&T Vyoma is the anchor data centre project announced for Dholera, described as a Rs 25,000 crore, 250 MW green AI-ready hyperscale campus. The agreement was signed at the India AI Impact Summit 2026, with an operational target around 2028. The investment and capacity figures are announced or agreement-stage numbers rather than built capacity, and the project is best understood as the leading indicator of Dholera's data centre ambitions. Its green AI-ready framing links directly to the Dholera solar backbone, which offers a route to renewable power for a facility designed to handle the high power density of modern artificial intelligence workloads.
Last checked 2026-08-11 · every figure below carries its source
What L&T Vyoma is
L&T Vyoma is an announced AI data centre campus for Dholera, presented as a Rs 25,000 crore investment building 250 MW of green AI-ready hyperscale capacity. The agreement was signed at the India AI Impact Summit 2026, and the stated operational target is around 2028. Each part of that description carries meaning. Hyperscale refers to very large data centre facilities built to serve heavy, growing computing demand, the kind of scale usually associated with cloud and AI operators rather than a small local server room. AI-ready signals that the campus is being designed for the high power density that artificial intelligence training and inference require, where each rack of equipment draws far more electricity and produces far more heat than traditional web hosting. Green points to the intent to draw on renewable energy from the Dholera solar backbone. Taken together, the project reads as a bet by a major Indian engineering group on Dholera as a home for AI-era infrastructure. The most important caveat is also the simplest. The Rs 25,000 crore and 250 MW are announced figures tied to an agreement, not capacity that exists on the ground today. Until construction, grid connection and tenant demand play out, the campus is a statement of intent rather than a running facility, and it should be described that way.
The numbers and what they mean
Two headline numbers define the project. The Rs 25,000 crore figure describes the announced investment, and the 250 MW figure describes the planned power capacity. Power capacity is the standard way the industry sizes data centres, because a facility's electrical draw sets the ceiling on how much computing it can house and cool. A campus rated at 250 MW, if fully built and occupied, would be very large by Indian standards. To put that in local context, it is close to the roughly 300 MW of solar generation currently operational at the Dholera solar park, which shows both the scale of the ambition and why the campus and the region's renewable supply will need to grow together. Both numbers should be labelled as targets. Announced investment is a commitment to spend over the life of the build, not money already deployed, and planned capacity is what the finished campus is designed to reach, not what runs on day one. Large data centre projects typically ramp in phases, energising a portion of capacity first and adding more as demand fills the earlier phase. So the honest reading is that L&T Vyoma is a large announced project whose real-world scale will be revealed gradually as phases come online toward and beyond the 2028 operational target.
Why AI-ready and green matter together
The two qualifiers in the campus description, AI-ready and green, are linked in a way worth spelling out. Artificial intelligence workloads, especially the training of large models, pack far more processing into each rack than older computing did, which means much higher power density and much more heat to remove. That is a well-established feature of AI infrastructure across the industry. Building AI-ready means designing power distribution and cooling from the start to handle that density, rather than adapting a conventional data centre after the fact. The green part addresses the flip side of that power appetite. If a facility is going to draw heavily on electricity, sourcing it from renewable generation reduces both the carbon footprint and the exposure to fossil fuel costs. This is precisely where Dholera's plan fits, because the Dholera Ultra-Mega Solar Park is being built next door with an ultimate target of 5,000 MW. A campus that can credibly pair high-density AI computing with renewable power is aligned with where large operators say they want to go. It is important not to overstate this. The renewable supply is still scaling and the campus itself is not yet built, so the green AI-ready label describes the design intent and the surrounding infrastructure plan, not a finished, fully renewable-powered facility operating today.
How it fits Dholera's wider plan
L&T Vyoma does not stand alone. It sits inside a planned greenfield industrial region built under the Delhi Mumbai Industrial Corridor and the Gujarat Special Investment Region Act of 2009, which gives the campus a set of neighbours and shared infrastructure. The Ahmedabad to Dholera expressway has been operational since 31 March 2026, improving access to a major metro. An airport is under construction to serve the region. The Tata semiconductor fab is being built nearby, anchoring a broader technology cluster that a data centre can plausibly complement. And the Dholera solar park supplies the renewable-power story that underpins the campus description. This clustering is part of the logic. Data centres benefit from reliable power, good connectivity and proximity to other technology infrastructure, and a purpose-built region can offer all three by design. The state has also signalled its intent through the Viksit Gujarat Data Centre Policy 2026-29, which names Dholera as the primary location for its data centre ambitions. For L&T Vyoma specifically, the practical questions ahead are the ordinary ones for any large build. Securing grid connection, arranging water for cooling, completing construction on schedule and attracting tenants will determine whether the announced scale is realised. As the single largest announced data centre commitment at Dholera, its progress is the most useful thing to track over the coming years.