At Embedded World 2025, Grinn unveiled their latest innovation: the AstraSOM-1680, a system-on-module (SoM) built around Synaptics’ Astra SL1680 processor. This processor features a quad-core Arm Cortex-A73 CPU and an 8 TOPS neural processing unit (NPU), designed to deliver high-performance edge AI capabilities. citeturn0search1 Grinn’s demonstration showcased the module’s ability to recognize various radio frequency (RF) modulations in real-time, highlighting its potential in edge computing applications.
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Synaptics is my Embedded World 2025 video coverage sponsor, check out my Synaptics videos here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvhAbQoe9YN4c84SqXxIY3fQ
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The AstraSOM-1680 integrates the SL1680 processor’s capabilities, including the PowerVR Series9XE GPU, 4GB of LPDDR4 memory, and 16GB of eMMC storage. citeturn0search1 This configuration ensures efficient handling of complex video inputs and outputs, making it suitable for real-time image processing and AI-driven tasks. The module’s architecture allows for the simultaneous operation of the NPU and CPU cores, ensuring that visual processing tasks do not hinder other system functions.
Grinn’s approach to edge AI emphasizes the integration of advanced processing capabilities directly within devices, reducing latency and enhancing data privacy by minimizing reliance on cloud-based computations. By treating cameras and sensors as intelligent entities, Grinn aims to unlock new applications across various industries. The company’s expertise in designing and producing these modules in Europe, specifically in Poland, ensures adherence to high-quality manufacturing standards.
With 17 years in the market, Grinn has established itself as a reliable partner for clients worldwide. Their team of engineers is dedicated to assisting customers in translating innovative ideas into market-ready products, leveraging the capabilities of modules like the AstraSOM-1680 to accelerate development cycles and improve efficiency.
Check out all my Embedded World 2025 videos in this playlist: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga
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