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.)

Introduction On January 17 the InfiniEdge AI community gathered at the Stevenson Event Center on the University of California Santa Cruz campus for a hands‑on code lab celebrating the Release 3.0 of InfiniEdge AI . The event was organized by the LF Edge AI & Data (LF Edge AI) project, with Tina Tsou giving a preview of the release and Wilson Wang (ByteDance Global Edge Team) leading a deep dive into SPEAR , the new serverless AI‑agent framework. In this blog we recap the key moments,...