The gap between an AI demo and a production system isn’t just technical. It’s a complete mindset shift, and, in India, it comes with its own set of constraints around cost, infrastructure, and scale.That was the running theme at a mixer in Bengaluru organized by E2E Networks, NVIDIA, and YourStory, where AI founders, investors, and technology leaders gathered to talk about what actually breaks when you try to serve millions of users instead of impressing a room full of investors.Shivani Muthanna from YourStory moderated the evening, which featured keynotes and a panel discussion that cut through the usual AI hype to focus on execution.The cost equation that startups can’t ignoreVishnu Subramanian, Head of Product and Marketing at E2E Networks, started with the kind of math that makes early-stage founders pay attention. With $100, you get around 9 to 10 hours on a hyperscaler. On E2E, you get approximately 330 hours.”We are making the lives of startups a lot easier when you try to go live and try to take it to population scale,” Subramanian said, explaining how E2E focuses on optimizing everything, from GPU instance spin-up times to model deployment.He walked through the stages most AI startups go through. Exploration,… Read MoreYourStory RSS Feed
