From Topping to Core: How Edge AI Can Transform Indian MSMEs
Announcements at NVIDIA's GPU Technology Conference 2026 (March 16–19) made one thing clear: artificial intelligence is no longer content to sit as a digital overlay. The spotlight on edge platforms—most notably the general availability of NVIDIA IGX Thor for industrial physical AI, with its sensor fusion, functional safety, and real-time reliability—alongside Jetson Thor-powered systems from Advantech, AI-RAN integrations by T-Mobile and Nokia, and adoptions by Caterpillar and Hitachi Rail—signals that intelligence is moving directly into factories, machines, and devices. These are not incremental tools; they enable decisions at the point of action, where latency, bandwidth, and privacy make cloud impractical. In my earlier piece, I argued that India must move AI beyond the 'topping'—the surface-level copilots, chatbots, and workflow enhancers that dominate current adoption—and embed it in the 'cake' itself: the structural core of how industries operate, produce, e...