Ambiq at Embedded World 2026 

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    Ambiq showcased its latest innovations at Embedded World 2026 in Nuremberg, Germany, demonstrating how the company’s energy-efficient Subthreshold Power Optimized Technology (SPOT®) platform enables groundbreaking edge AI applications.

    While the event is over, below are some of the products, technologies, tools, and highlights Ambiq experts got to connect with visitors on:

    Atomiq SoC

    Ambiq previewed Atomiq, its upcoming product line featuring an integrated NPU designed to power a new class of AI-enabled devices that require greater memory and compute capabilities. Built on Ambiq’s next-generation 12nm SPOT platform, Atomiq brings the ultra-low power efficiency Ambiq is known for to more ambitious edge AI designs.

    Atomiq 12nm 1200x800 - PR
    Ambiq at Embedded World 2026  4

    Apollo SoC Family

    Visitors also learned more about Ambiq’s best-selling Apollo SoC families, which power many of today’s leading products and devices across consumer, healthcare, and industrial markets—from smart glasses and medical-grade devices to industrial sensors and more. Today, over 290 million devices are powered by Ambiq technology.

    Ambiq Unveils Apollo510 Lite Series SoCs - 1200x800
    Ambiq at Embedded World 2026  5

    Live AI Demos

    Attendees experienced live demonstrations showcasing Ambiq’s full suite of edge AI tools and solutions designed to streamline development and maximize the benefits of the SPOT platform. Demonstrations highlighted reduced AI power consumption, optimized memory footprint, and lower latency performance using models from Ambiq’s award-winning neuralSPOT® AI development kit and HeliaAOT platform, which won the 2026 Embedded World Best Tools Award.

    Ambiq Wins HeliaAOT EW nominations
    Ambiq at Embedded World 2026  6

    Technology Presentation

    During the event, Dr. Adam Page, Head of AI at Ambiq, delivered a technical presentation titled “A Faster Runtime: Taking a Granular Approach to Optimizing Edge AI with Ambiq.”

    In this session, Dr. Page explored the challenges created by mismatches between modern AI frameworks and hardware-specific embedded systems. He also shared how Ambiq addresses these issues through hardware-optimized runtimes that improve efficiency, performance, and power consumption for edge AI applications.

    Video coming soon…

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