A short moment on stage, but a much longer journey behind it. Sharing thoughts on how AI is moving from ideas to execution, where infrastructure, strategy, and real-world impact finally meet. Grateful for the opportunity to be part of the conversation.

Introduction The LF Edge InfiniEdge AI Release 3.1 Code Lab brought together AI engineers, platform teams, robotics developers and infrastructure architects for an immersive session in Santa Clara. Unlike traditional slide‑driven webinars, the Code Lab emphasised hands‑on deployment and tuning of edge AI workloads. In addition to learning about the Release 3.1 improvements, participants were treated to two forward‑looking presentations: one on FeverHub , an AI‑native entertainment platform,...

Originally published on LF Edge: https://lfedge.org/infiniedge-ai-and-the-orchestra-of-orchestrators-bringing-ai-to-the-edge-responsibly/ We’re at an inflection point for AI infrastructure. Centralized data centers face limits on power, cooling, land use, and time to value. The answer is distributed AI: run models where it makes the most sense across device, on-prem, regional, and cloud. (Full post link above.)