Join LF Edge community and accelerate edge computing adoption
Blog
Aug 7, 2026
Edge Computing With & Without AI: Why the Future of the Edge Is Built on Intelligence
Summary of Chapter 2 of the State of the Edge 2026 report by Victor Lu, Independent Consultant and Former Senior Solution Specialist at Oracle, with guidance from Jim Davis. This blog is part of a series highlighting key insights from the State of the Edge Report 2026. Each post explores…
Jul 30, 2026
Building the Foundation for Edge Computing at Scale
Summary of Chapter 1 of the State of the Edge 2026 report by Brian Chambers, Founder of Edge Monsters and Chief Architect at Chick-fil-A. This blog is part of a series highlighting key insights from the State of the Edge Report 2026. Each post explores one chapter from the report…
Jul 29, 2026
EdgeLake 2.0: Building Momentum at the Edge
Author: Eric Aquaronne, EdgeLake EdgeLake, the open source distributed data infrastructure project hosted at LF Edge, has shipped version 2.0.2606, and it arrives alongside a wave of real-world deployments, growing community participation, and deeper integration across the LF Edge ecosystem. Together, they mark a project moving from proof-of-concept technology toward…
Jul 27, 2026
Building the Blueprint for Agentic AI at the Edge
Author: Tina Tsou, LF Edge Board Chair Why we're doing this Every enterprise rolling out AI agents at the edge is hitting the same wall: no shared way to connect agents to tools and data, no common runtime pattern across cloud, edge, and on-prem, and no consistent approach to auditability…
Jun 17, 2026
Open Horizon Reaches LF Edge Impact Stage 3: What It Means for Edge AI
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. This milestone reflects the project's evolution into a mature, production-ready platform supported by a diverse community of contributors and organizations.…
Mar 19, 2026
InfiniEdge AI and the Orchestra of Orchestrators: Bringing AI to the Edge, Responsibly
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 where it makes the most sense across device, on-prem, regional, and cloud. Building on the LF Edge taxonomy work from…
