Fireside Chat: Gigawatts for Petaflops : Powering India's AI Decade

​The Question : India's data center capacity stands at approximately 1.7 GW this year, projected to scale toward 8 GW by 2030. AI is fundamentally altering this curve.

​AI facilities consume 5 to 20 times more power than traditional data centers, with individual campuses already requiring 50 to 100 MW of continuous, reliable green power. India has a structural opportunity to design a firm, clean and scalable power ecosystem purpose-built for AI, if it moves fast enough.

​How does India build firm, clean and globally competitive power infrastructure at the pace its AI ambitions require?

​The Session : A strategic moderated dialogue with leaders from energy finance, renewable infrastructure, and advanced solar technology examining what firm power for AI actually requires at gigawatt scale. The conversation covers investment-grade reliability, hybrid renewable models, grid integration, and the regulatory frameworks that need to evolve in the next 24 months.

​What We're Examining:

• ​How firm power for AI differs from traditional industrial load and what investment-grade reliability means at gigawatt scale

• ​Hybrid renewable plus storage models that meet AI uptime expectations while remaining bankable

• ​Next-generation solar efficiency improvements that reduce land intensity and improve deployment economics

• ​Regulatory clarity needed to de-risk long-term power purchase agreements for AI infrastructure

• ​Whether India can deliver 24 by 7 renewable-backed AI campuses at global cost competitiveness within this decade

​Who Should Attend : Data center operators and AI infrastructure developers, power and utility leaders, renewable energy developers and financiers, infrastructure investors and capital allocators, policymakers shaping energy and industrial strategy.