Bringing Real Devices into Edge AI Development: Join Embedl at AWS Summit Stockholm
Developing AI models for edge devices presents unique challenges. Unlike cloud environments, edge deployments must contend with real hardware constraints from the start, including limited memory, varying runtimes, and device-specific capabilities. These factors often introduce issues that only become visible when models are tested on the actual target devices.
At the AWS Summit Stockholm on May 7, 2026, at Stockholmsmässan, Embedl will share how to address these challenges by integrating real device testing earlier in the development cycle.
Together with AWS, we will showcase how AWS Device Farm can be incorporated into Edge AI workflows, enabling teams to validate models on physical devices sooner rather than later. This approach helps uncover performance bottlenecks, compatibility issues, and unexpected behavior early, reducing costly iterations and accelerating time-to-deployment.
We will also demonstrate Embedl Hub, highlighting how it supports efficient, scalable on-device development. By combining cloud infrastructure with access to real hardware, teams can streamline workflows and build more robust, production-ready AI solutions for the edge.
If you are working with Edge AI or curious about improving your development pipeline, stop by and see how these tools come together in practice.
Join us in Stockholm: https://aws.amazon.com/events/summits/stockholm/agenda/
Schedule a meeting here: https://www.embedl.com/schedule-a-meeting