Nvidia and Bharat1 launch AI superpark to elevate global research

Bengaluru is poised to become a significant global centre for artificial intelligence research as Nvidia and Bharat1 AI Research & Innovation City embark on an ambitious project to establish a sprawling AI Superpark in the city’s technology ecosystem. The initiative aims to bring together tens of thousands of researchers, engineers and innovators under one integrated hub designed to accelerate high-performance AI development and commercialisation.

The B1 AI Superpark, a 500,000-square-foot facility already operational, will serve as the heart of a broader AI innovation district spanning approximately 70 acres. Once fully developed, the district is projected to encompass nearly four million square feet of research and development space, hosting startups, corporate laboratories, applied research teams and product companies focused on advanced artificial intelligence systems.

Nvidia, a leading multinational technology company renowned for its accelerated computing platforms and AI software ecosystem, will contribute its full computing stack and technical expertise to the Superpark. This includes access to hardware optimised for large-scale model training and deployment, along with AI software platforms that support innovation workflows from prototype to production. Startups and research teams within the ecosystem will further be eligible for inclusion in Nvidia’s Inception programme, which offers technical guidance, infrastructure support and connections to long-term capital and enterprise partners via its venture alliance network.

According to project proponents, the AI Superpark distinguishes itself from conventional technology campuses by being built for high-density compute workloads, complex simulations and frontier research tasks that require extensive datasets and cutting-edge infrastructure. The facility is also intended to generate substantial volumes of structured data to support the training and refinement of world models and other advanced AI frameworks, underpinning both foundational research and applied innovations destined for global markets.

Visionaries behind the project describe the AI Superpark as part of a new model for research ecosystems that integrates physical infrastructure with global network access and capital support. Its design draws inspiration from successful international innovation clusters, aiming to replicate the benefits of co-location and resource sharing that have accelerated startup scaling and deep scientific inquiry elsewhere. Leaders involved in the initiative see potential for Bengaluru to play a pivotal role not just as a talent pool but as a strategic node in the global AI research landscape. ][3])

“We are building and funding AI startups from the world’s most tech talent-dense country, Bharat, in its most talent-dense city, Bengaluru,” said Subhashis Banerjee, reflecting the confidence of the Superpark’s backers in the region’s human capital and potential for breakthrough innovation. Industry stakeholders describe the collaboration as a step toward addressing persistent constraints that have slowed large-scale research in the region, including limited access to advanced computing infrastructure and global go-to-market channels.

The establishment of the AI Superpark occurs amid a larger wave of global technology companies deepening their engagement with AI infrastructure development in India. Other announcements at high-level industry forums have included expanded commitments by multinational players to build data centres, subsea connectivity and compute capacity that together support the broader AI ecosystem. These parallel efforts underscore the shifting dynamics of global AI investment, with India increasingly emerging as a strategic destination for technology and research infrastructure.

The initiative also signals a maturation of the local startup landscape, where enterprises and research organisations are seeking environments that enable experimentation at scale without the traditional barriers of fragmented resources or siloed operations. Organisers say that the co-location of diverse research teams, product developers and enterprise partners will foster cross-pollination of ideas and accelerate the timeline from concept to commercial impact.