LF Edge InfiniEdge AI Release 3.1 Code Lab

​LF Edge InfiniEdge AI Release 3.1 Code Lab (2-Hour Intensive)

​InfiniEdge AI Release 3.1 Code Lab is a focused, hands-on technical session designed for engineers and architects building real AI systems across distributed edge environments.

​Release 3.1 introduces improvements in:

• ​Distributed edge runtime performance

• ​Low-latency inference optimization

• ​Model deployment automation

• ​Edge-to-cloud coordination patterns

• ​Production-grade observability

​This 2-hour intensive session eliminates slideware and focuses on real deployment, real tuning, and real trade-offs.

​Participants will:

• ​Deploy an AI workload across edge nodes

• ​Measure and optimize inference latency

• ​Understand accuracy vs. latency vs. cost trade-offs

• ​Explore hybrid edge + cloud orchestration patterns

• ​Learn production-ready design practices

​This Code Lab is ideal for AI engineers, platform teams, infra architects, robotics developers, and GenAI builders operating in latency-sensitive environments.

​🗓 Agenda (2 Hours)

​1️⃣ Welcome & Architecture Overview (15 min)

• ​State of Edge AI

• ​InfiniEdge AI 3.1 highlights

• ​Control plane vs data plane architecture

​2️⃣ Hands-On Lab: Deployment (40 min)

• ​Set up edge runtime

• ​Register & deploy model

• ​Run inference pipeline

​3️⃣ Hands-On Lab: Optimization (35 min)

• ​Measure latency

• ​Simulate constrained edge environment

• ​Tune performance parameters

• ​Evaluate trade-offs

​4️⃣ Hybrid Patterns & Scaling (15 min)

• ​Edge + cloud coordination

• ​Kubernetes integration

• ​Multi-node scaling strategy

​5️⃣ Q&A + Community Roadmap (15 min)

• ​Production challenges

• ​Contribution pathways

• ​Next release preview

​Bring your laptop. Real systems. Real constraints. Real AI at the edge.