This whitepaper walks you through how to bring real hardware into a CI pipeline using LAVA (Linaro Automated Validation Architecture), breaking down the full architecture behind it - the LAVA server acting as control plane, the dispatcher doing the physical work in the lab, and a dedicated runner bridging GitLab jobs to real boards.
Along the way, you'll see how device templates abstract away the messy, board-specific details of flashing and booting, how a dispatcher can operate a remote lab from another city without the central server ever needing to know the difference, and what actually happens between a job being submitted and a board reporting pass or fail.
It's worth a read if you want to see what hardware testing looks like once it's automated end to end.
This whitepaper explores the real-world performance of the Grinn AstraSOM-1680 in edge AI applications, comparing its CPU-based inference to NPU-accelerated execution. It highlights the module’s ability to significantly boost processing speed and energy efficiency in AI-powered embedded systems — making it a compelling solution for low-power, high-performance IoT deployments.
The Grinn GenioSOM-700 based PCB Failure Detection enhances quality control in PCB manufacturing by using AI-driven defect detection.
Discover how AI-SDR revolutionizes radio signal processing by combining AI-driven modulation classification with software-defined radio (SDR) technology. This white paper details a system built on the Grinn AstraSOM-1680 that enables real-time spectrum analysis and automatic modulation identification, pushing the boundaries of wireless signal processing. Learn about its architecture, implementation, and potential applications in spectrum monitoring and wireless communication research.
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