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Grinn AstraSOM-1680 CPU vs NPU Performance in IoT Edge Applications

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.  

Content

What`s inside?

  • 01 Detailed comparison of CPU vs NPU performance using real AI models
  • 02 Benchmark results for image classification and object detection
  • 03 Real-world use case examples
  • 04 Explanation of AstraSOM-1680’s architecture
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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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