Ambiq Expands AI Development Support with neuralSPOT SDK V1.2.0 Beta for Apollo510 and Apollo510B.
Ambiq Micro, Inc. announced the latest release of the neuralSPOT SDK and Toolkit for the Apollo510 and Apollo510B, its flagship systems-on-chip (SoC) family, which offers the highest performance and power efficiency among its generations for advanced edge AI applications.
Feature highlights:
- Apollo510 Support and Enhancements – Unlocks the full potential of Ambiq’s
- award-winning SoCs with advanced AI performance characterization tools
- HeliosRT Beta Integration – Ambiq’s Apollo-specific AI runtime, delivering up to
- 3X faster inference and improved energy efficiency compared to LiteRT
- implementations
- Experimental HeliosAOT Integration – Ahead-of-time AI compiler for
- performance-driven deployment
- Rich Example Library – More than a dozen ready-to-deploy models for
- Apollo510, Apollo510B, Apollo4 Plus, Apollo4 Lite, and Apollo3 Plus
- neuralSPOT – Accelerating Edge AI Development with Ready-to-Use AI Models
- The neuralSPOT SDK and Toolkit bridge the gap between AI model creation,
- deployment, and optimization—empowering developers to move from concept to
- prototype in minutes, not days. neuralSPOT V1.2.0 Beta comes with an example
- implementations of popular AI models, including:
- Human activity recognition
- ECG monitoring
- Keyword spotting
- Speech enhancement
- Speaker identification
Whether you’re building next-generation AI models or showcasing innovative demos, neuralSPOT delivers the tools you need to succeed. “With its AI-focused vector engine, the Apollo510 is a joy to develop for,” said Carlos Morales, VP of AI at Ambiq. “We continue to discover new ways to push the boundaries of performance and efficiency, and neuralSPOT is key to enabling those optimizations.”
Apollo510 SoC Family – Powering the Future of Edge AI
The Apollo510—winner of the Best Hardware Award at Embedded World 2024—sets the standard for performance and power efficiency in edge AI. It also drives heartKIT™ AI SDK, a collection of models for heart-vital monitoring and analytics, which earned the
Best AI Solutions Award at Embedded World 2025, and is now available within the neuralSPOT SDK library.