Gujarat has moved decisively to anchor its position in India’s artificial intelligence economy. At the India AI Impact Summit 2026, the Department of Science & Technology, Government of Gujarat formalized a Memorandum of Understanding with Larsen & Toubro’s digital infrastructure arm, Vyoma, to explore the development of a 250 MW green, AI-ready hyperscale data center campus in the Dholera Special Investment Region (SIR).
The proposed ₹25,000 crore investment signals one of the most ambitious state-backed digital infrastructure plays in the country. If executed as envisioned, the project will combine renewable energy integration, hyperscale compute density, and AI workload optimization within a single greenfield campus.
Unlike incremental capacity additions in traditional data hubs, this initiative aligns directly with India’s next-generation compute strategy. Gujarat is positioning Dholera not merely as an industrial corridor, but as a sovereign-scale AI backbone capable of supporting advanced machine learning training clusters, enterprise cloud deployments, and regulated-sector digital transformation.
Deputy Chief Minister Shri Harsh Sanghavi, speaking at the summit, emphasized the scale of the move, stating, “Gujarat takes a giant leap in AI infrastructure.”
The declaration reinforces the state’s intent to fuse sustainability with high-performance digital capacity. Moreover, by linking green power sourcing with AI-ready architecture, the initiative attempts to pre-empt growing scrutiny around energy intensity in large-scale AI deployments.
Sovereign Cloud Expansion: Vyoma and Lexlegis Bring Legal AI Onshore
In parallel, Larsen & Toubro Vyoma expanded its sovereign cloud roadmap through a strategic partnership with Lexlegis.ai. The agreement will see Lexlegis Legal AI deployed on Vyoma’s Sovereign Cloud infrastructure, designed to keep sensitive legal and regulatory data within Indian jurisdiction.
The collaboration blends Vyoma’s compliant, India-sovereign cloud environment with Lexlegis’ capabilities in legal research, regulatory intelligence, and AI-driven analysis. The platform will cater to law firms, enterprises, financial institutions, government agencies, and regulated industries that require strict data governance controls.
Lexlegis Legal AI will operate fully within Vyoma’s sovereign infrastructure, ensuring that all sensitive data remains stored domestically while meeting national security and regulatory standards. The solution integrates AI-powered legal research, drafting support, regulatory tracking, and analytics while maintaining strict confidentiality and sovereign oversight.
Seema Ambastha, Chief Executive of L&T Vyoma, said, “This strategic partnership with Lexlegis marks an important milestone in our vision to build a sovereign, AI-led digital infrastructure for India. Hosting Legal AI on our Sovereign Cloud enables customers to leverage AI with full assurance of security, compliance, and sovereign control.”
Saakar Yadav, Founder of Lexlegis, added, “Trust is paramount in Legal AI. Our partnership with L&T Vyoma allows us to deploy AI on a private, sovereign cloud, ensuring the highest standards of security and regulatory compliance while accelerating adoption across regulated sectors.”
A Strategic Convergence of Green Power and Sovereign Compute
Taken together, the Dholera hyperscale campus and the sovereign Legal AI deployment illustrate a broader structural shift. India’s digital infrastructure strategy increasingly converges around three pillars: green energy integration, AI-native data center design, and sovereign cloud control.
Dholera’s planned 250 MW capacity provides the physical backbone. Meanwhile, Vyoma’s sovereign cloud architecture establishes regulatory trust at the application layer. Legal AI becomes the first visible workload example, yet the framework signals readiness for sector-specific AI across finance, governance, healthcare, and compliance-intensive industries.
Gujarat now positions itself not just as a capacity provider, but as an orchestrator of Green AI Infrastructure at scale. If executed with disciplined capital deployment and power reliability, the ₹25,000 crore commitment could redefine India’s hyperscale narrative from reactive expansion to strategic, sovereign-led AI acceleration.
For India’s AI ambitions, the infrastructure race has moved from vision statements to grid-scale execution.
