LF Edge

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

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

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

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

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

What if AI could run on industrial data without sending it to the cloud? EdgeLake keeps data at the Edge while making it query-able from anywhere. Push AI to the data. Return only results. Works with traditional AI + LLMs via the EdgeLake MCP. Watch demo: hubs.la/Q045fv920

Akraino R9 introduces a new blueprint family: Physical AI at the Edge, focused on: • machine-to-machine coordination • machine-to-human interaction • environmental sensing + response hubs.la/Q03_JTML0 #LFEdge #Akraino #EdgeComputing

AI needs real-time data to deliver real value. EdgeLake’s move to LF Edge Stage 2 brings MCP-powered access to live edge data, without heavy analytics stacks or cloud dependency. 🔍 hubs.la/Q040Mn1v0 #EdgeAI #AIInfrastructure #DataAtTheEdge

🚀 EdgeLake has advanced to LF Edge Stage 2 (Growth). With MCP, AI agents can now access live edge data in real time, without centralization. A major milestone for open, production-ready Edge AI. 🔗 hubs.la/Q040Ml2d0 #LFEdge #EdgeAI #OpenSource

What’s next: Akraino Release 9 is preparing for Physical AI at the Edge. Physical AI = AI + edge computing + real-world interaction (robots, drones, autonomous systems). hubs.la/Q03_JTmm0 #Akraino #PhysicalAI #EdgeAI

New from #Akraino: Autonomous Agents Networks (AAN) blueprint family. Focus: safe + resilient autonomous operations for robots/drones/vehicles/sensors using AI + rules-based reasoning, even when cloud isn’t available. Learn more: hubs.la/Q03_9PfH0 #LFEdge #EdgeAI #IoT

What’s next for this PoC? Bi-directional communication, OTA updates, broader V2X support, and validation on real automotive-grade hardware. Open source laying the groundwork for software-defined vehicles: hubs.la/Q03YwKXB0 #LFEdge #AutomotiveTech #EdgeToCloud

Autonomous machines are showing up everywhere, and they need to coordinate safely near humans. Akraino’s new Autonomous Agents Networks (AAN) blueprint family explores P2P comms + telecom standards for reliable edge autonomy. hubs.la/Q03_9T2Q0 #LFEdge #Telecom #AI

Connected vehicles face real challenges: lack of orchestration, interoperability gaps, and constrained hardware. This InstantX + AGL PoC shows how an open, vendor-neutral architecture can address them head-on. hubs.la/Q03YwKNG0 #OpenSource #SDV

New LF Edge case study: How InstantX + Automotive Grade Linux (AGL) enable real-time vehicle-to-cloud data exchange using open source, MQTT, and containerized services. Read: hubs.la/Q03YwL1c0 #LFEdge #InstantX #AGL #ConnectedVehicles

From smart farming and smart cities to carbon-tracked biogas plants — LF Edge projects had a massive 2025. 2026 is all about vertical-focused Edge AI, new members, and cross-foundation blueprints. Catch the highlights → hubs.la/Q03WmpMK0 #OpenSource #EdgeComputing

If you work at the edge, this Wasm session is a must-watch. Industry leaders break down the Wasm Embedded SIG, Ocre and real industrial use cases. Recording: hubs.la/Q03Vm07s0

The edge market is accelerating – $261B expected in 2025 – Reaching $380B by 2028 And Edge AI alone could hit $157B by 2030. Why? Real deployments are scaling across industries. Full recap + what’s next → hubs.la/Q03WmpHY0 #LFEdge #AIatTheEdge

LF Edge is gearing up for 2026 with big goals – More open edge projects – Vertical-specific content – New blueprints across OSS ecosystems Explore how open source is shaping the future of Edge + AI → hubs.la/Q03WmpRR0 #OSSEdge #AI #OpenSourceCommunity

WebAssembly is gaining real traction in embedded and industrial systems. Catch experts from Atym, Sony Group, Schneider Electric, Emerson, Wind River, HMS Networks and Siemens in this LF Edge webinar. Watch: hubs.la/Q03Vl_S_0