LF Edge

@LF_Edge

Building an open source framework for the edge

San Francisco, CA

LF Edge
@LF_Edge
Apr 8
Real-world use cases of Physical AI at the edge: • Coordinated drones • Autonomous systems adapting in real time • Voice-aware human-machine interaction • AI-assisted emergency response Built with Akraino R9 blueprints. Join: hubs.la/Q047Mp4X0 #EdgeComputing #AI
LF Edge
@LF_Edge
Apr 1
What does it take to run AI anywhere? • InfiniEdge AI → orchestration • EdgeLake → data fabric • EdgeX Foundry → data ingestion • FDO → secure onboarding An “orchestra of orchestrators” in action: hubs.la/Q047CGJg0 #EdgeComputing #AI
LF Edge
@LF_Edge
Mar 25
AI infrastructure is hitting limits in centralized data centers. The shift is clear: distributed AI across device, edge, and cloud. See how LF Edge projects (InfiniEdge AI, EdgeLake, EdgeX Foundry, FDO) work together: hubs.la/Q047CJDK0 #EdgeAI #LFEedge
LF Edge
@LF_Edge
Mar 24
What is Physical AI? Systems that sense, decide, and act in the real world. Akraino R9 brings this to the edge with open, interoperable blueprints for robotics, autonomy, and intelligent infrastructure. Get involved: hubs.la/Q047Mc0-0 #EdgeAI #PhysicalAI #OpenSource
LF Edge
@LF_Edge
Mar 19
No single platform can handle the full AI stack. That’s why LF Edge brings together: InfiniEdge AI + EdgeLake + EdgeX Foundry + FDO Read how this open approach enables distributed AI: hubs.la/Q047CH-D0 #OpenSource #EdgeAI