By Joe Pearson, TSC Chair, Open Horizon (LF Edge) TL;DR Open Horizon has reached LF Edge Stage 3 (Impact Stage), the highest maturity level in the LF Edge Project Lifecycle....
Summary 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...
2025 has been a milestone year for edge computing and for the LF Edge community. Market momentum accelerated across every segment, driven by real-time AI needs, device refresh cycles, and...
Authors: Andreas Spanner Contributor: Ivan Necas The mission of InfiniEdge AI is to bring advanced AI capabilities to the edge and distributed environments. The AIOps initiative focuses on the application...
The LF Edge project Akraino is preparing for its upcoming Release 9, which will mark a major step toward enabling Physical AI, the convergence of artificial intelligence, edge computing, and...
By Chirantan Ghosh, Technical Product Architect at Schneider Electric and EdgeX Foundry Technical Steering Committee Member EdgeX Foundry is a powerful open-source framework for edge computing, offering a modular architecture...
Author: Krisztián Szilvási – Lead Embedded Architect, Atym For anyone working with embedded devices and systems, software containerization has historically felt out of reach. Traditional container runtimes like Docker bring...
Author: Jiyong Huang, Chair of the eKuiper Technical Steering Committee and Senior Software Engineer of EMQ The eKuiper community is proud to announce the release of eKuiper 2.2.0, a milestone...
By James Butcher, EdgeX Foundry Chairman and IOTech Systems Product Manager EdgeX 4.0 (Odesa) marks a significant step forward for the EdgeX Foundry community. Alongside key feature enhancements, this release...
The LF Edge community is excited to announce the availability of Akraino Release 8 (R8)—a major milestone that expands the Akraino Edge Stack’s capabilities into Physical AI. Akraino R8 delivers...
