Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how to go from prototype to safe, compliant, large-scale deployment—thousands to millions of devices—without drowning in integration work and life-cycle risk. In this talk, we define a true “edge AI ecosystem”: a coordinated stack spanning specialized silicon, system-on-module platforms, operating systems, AI runtimes, developer tooling and device management. We’ll explain how fragmented components create hidden costs (custom plumbing, maintenance) and where deployments fail (security updates, versioning, support). We’ll ground the discussion in real deployment patterns: DEEPX + Virtium system-on-modules to accelerate prototyping and scale to production, and Peridio’s Avocado OS for production Linux, provisioning and secure over-the-air operations. Attendees will leave with a practical framework for building maintainable stacks, accelerating time-to-market and operating fleets with secure provisioning and updates.