India’s AI infrastructure wave gets a megaproject anchor
Reliance Industries has committed about US$11 billion to build a 1-gigawatt AI-native data-centre campus in Visakhapatnam, Andhra Pradesh, over the next five years. The plan, announced with its digital-infrastructure partners, is one of India’s largest single bets on AI compute capacity. It arrives as global demand for AI servers surges and as Indian enterprises move from pilots to real deployment. For Andhra Pradesh, the campus strengthens its push to become a national AI and cloud hub. For India, it signals that AI infrastructure is now moving into the scale era, not just the experimentation phase.
From telco scale to AI compute scale
Reliance has spent the last decade building digital rails at national scale through telecom, consumer platforms, and cloud services. That foundation put the group in a position to move quickly when AI demand began reshaping global data-centre economics. AI workloads need dense clusters of GPUs and accelerators, which draw far more power than earlier cloud generations. They also require low-latency networks and advanced cooling, meaning AI data centres are not a simple extension of older server halls. They are a different class of infrastructure.
The Visakhapatnam campus is being developed under Digital Connexion, a joint venture that includes Reliance along with Brookfield Corporation and Digital Realty. The partners are aiming to build a 400-acre, modular campus that can scale in phases while keeping design standards consistent across each buildout. The state government has been actively courting such projects, and Visakhapatnam has emerged as a focal point after another global tech group announced a large AI hub in the city earlier this year. The clustering effect is intentional. When large compute projects co-locate, they pull in fiber networks, clean-power ties, maintenance ecosystems, and skilled labor pools.
What a 1-GW AI campus changes
A gigawatt-scale campus puts Reliance into a rare global category. Only a handful of firms worldwide are building AI data centres at this size. The first strategic gain is capacity control. When AI demand spikes, compute scarcity becomes a bottleneck. Firms that own large, reliable capacity can price services better and serve hyperscale clients sooner. This matters for India because much of today’s AI compute still sits abroad. Local capacity reduces latency, avoids cross-border data friction, and improves resilience for regulated sectors.
The second gain is ecosystem shaping. Reliance can integrate the campus into its broader cloud and enterprise stack, including Jio’s platforms and its digital services. With Reliance Industries operating at national reach, a local AI campus can feed into retail, media, telecom, and B2B workflows that already sit inside its orbit. This creates demand certainty for the campus from day one, and it encourages Indian enterprises to adopt AI without worrying about foreign-compute constraints.
The third gain is energy strategy. AI data centres are power systems as much as compute systems. Reliance plans to pair the campus with large renewable capacity, including a proposed 6-GW solar project. This linkage lowers long-run costs and addresses sustainability expectations that global AI buyers now require. In effect, Reliance is building a vertical AI stack, from clean energy to compute to services.
For Andhra Pradesh, the campus could become a magnet project. Large data centres create direct jobs in construction and operations, and indirect jobs in network services, equipment supply, and logistics. The state’s investment office has positioned Visakhapatnam as a future digital-infra cluster, and a campus of this size gives that plan a concrete anchor.
AI infrastructure is becoming India’s next industrial layer
Reliance’s announcement fits a wider shift in how India is approaching AI. The first wave of AI in India focused on software adoption and talent. The next wave is about industrial capacity. Without domestic compute, AI growth stays fragile, and advanced models remain expensive for local firms. A 1-GW campus changes the risk profile. It tells startups and enterprises that they can build for India without compute scarcity shaping their roadmap.
It also reflects a new style of capital in Indian tech. Heavy infrastructure needs blended funding, long payback horizons, and tight execution. Reliance’s scale makes that possible, and its partners bring global data-centre building experience. This is why the deal matters beyond its headline figure. It shows India can support frontier digital infrastructure at global scale, not just at pilot scale.
There is a geopolitics angle as well. Many countries are now treating AI compute like strategic infrastructure. India is no exception. Local data-centre scale supports data sovereignty, reduces dependency risk, and makes India a more serious participant in global AI supply chains. When combined with national AI policy push, this kind of project becomes part of India’s long-term economic positioning, not only a corporate expansion.
A template for the next five years of Indian AI buildout
The biggest question now is pace. A gigawatt campus will be built in phases, and each phase must line up with power delivery, fiber routes, and client onboarding. If Reliance and its partners execute cleanly, the campus could become a template for other Indian groups planning large AI hubs. It may also encourage more global AI buyers to base workloads in India, especially for multilingual applications, customer service models, and regulated-industry use cases.
Over the next five years, India is likely to see more such projects, but not all will succeed. The winners will be campuses that pair compute with reliable power, strong network links, and clear market demand. Reliance’s advantage is that it already sits at the intersection of all three.
If this campus scales as planned, it will not only serve India’s AI needs. It could also export compute to the region, giving South and Southeast Asian firms access to nearby AI capacity. That would place India in a stronger regional role, as a supplier of AI infrastructure rather than only a consumer of it.
A megacampus that signals India’s AI scale era
Reliance’s US$11 billion plan for a 1-GW AI data-centre campus in Andhra Pradesh is a milestone for India’s digital economy. It moves the country from AI ambition to AI capacity. It also shows how corporate capital, global partners, and state policy are starting to align around compute as a strategic layer. As AI demand keeps rising, projects like this will decide which markets shape the next model era. With Visakhapatnam now hosting one of the world’s largest planned AI campuses, India is making a clear claim on that future.
