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Edge AI Runtime Solutions Unveiled by Ambiq: Two New Products Revealed

Ultra-low power AI runtime solutions, HeliosRT and HeliosAOT, debuted by Ambiq, are now available for Apollo SoCs. These innovations are designed to enhance edge AI performance and efficiency.

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New AI Runtime Solutions Unveiled by Ambiq: Edge AI Technology Debuts
New AI Runtime Solutions Unveiled by Ambiq: Edge AI Technology Debuts

Edge AI Runtime Solutions Unveiled by Ambiq: Two New Products Revealed

Ambiq Unveils Energy-Efficient Edge AI Runtimes for Power-Constrained Devices

Ambiq Micro, a leading innovator in low-power semiconductor solutions, has revealed two new edge AI runtime solutions: HeliosRT and HeliosAOT. These runtimes are specifically designed for Ambiq's Apollo family of System-on-Chips (SoCs), addressing key challenges in deploying AI models in power-constrained edge computing environments.

Features of HeliosRT and HeliosAOT

Both HeliosRT and HeliosAOT are optimized to run efficiently on Ambiq’s Apollo4 Plus and related SoCs, which incorporate Ambiq’s proprietary Sub-threshold Power Optimized Technology (SPOT®) for ultra-low power consumption. They enable diverse edge AI applications, including digital health and smart devices, by supporting a range of AI models suitable for resource-limited hardware.

Developer tools for HeliosRT and HeliosAOT simplify AI model deployment on power-sensitive devices, supporting rapid prototyping through production scaling. The runtimes also integrate with platforms like Edge Impulse, enabling seamless creation, optimization, and deployment of AI and machine learning models on Apollo SoCs.

Benefits in Power-Constrained Edge AI Deployments

In power-constrained edge AI deployments, HeliosRT and HeliosAOT offer several benefits. Leveraging Ambiq’s SPOT® technology, the runtimes enable edge devices to execute complex AI workloads while consuming significantly less power compared to traditional Arm M4-based solutions — up to 10 times more efficient AI processing.

This efficiency allows products based on Apollo SoCs to achieve much longer battery life, potentially lasting months or even years between charges, addressing a fundamental barrier in wearable and IoT device adoption. Energy savings also enable the use of smaller batteries, giving product designers more flexibility in device form factors and size constraints.

Addressing Edge AI Challenges

HeliosRT and HeliosAOT address several challenges in edge AI deployments. They exploit Ambiq's low-voltage SPOT architecture to drastically reduce the energy footprint of AI inferencing. The runtimes strike a balance by delivering high AI performance optimized specifically for the Apollo SoC architecture, ensuring real-time AI capabilities without compromising battery life.

Through compatibility with the Edge Impulse ecosystem and dedicated developer tools, these runtimes simplify the process of moving AI models from prototype to production on ultra-low-power hardware. Their design supports a wide range of AI applications from digital health to smart devices, accommodating different AI workloads efficiently.

Availability and More Information

HeliosRT is available now in beta via the neuralSPOT SDK, with a general release expected in Q3 2025. HeliosAOT is planned for wider availability in Q4 2025, following a technical preview for select partners. For more information, visit Ambiq's website at www.ambiq.com.

Ambiq's mission is to enable intelligence (AI and beyond) everywhere by delivering the lowest power semiconductor solutions. Charlene Wan, VP of Corporate Marketing and Investor Relations, can be contacted at [email protected] or 1.512.879.2850 for further details.

[1] Ambiq Micro, Inc. (2023). HeliosRT and HeliosAOT: Energy-Efficient Edge AI Runtimes for Ambiq Apollo SoCs. [Online]. Available: https://www.ambiq.com/helios-aot-and-helios-rt

[2] Edge Impulse (2023). Ambiq HeliosRT and HeliosAOT. [Online]. Available: https://www.edgeimpulse.com/integrations/ambiq

[3] GlobeNewswire (2023). Ambiq Micro Unveils HeliosRT and HeliosAOT, Edge AI Runtime Solutions for Ambiq Apollo SoCs. [Online]. Available: https://www.globenewswire.com/news-release/2023/03/28/2627626/0/en/Ambiq-Micro-Unveils-HeliosRT-and-HeliosAOT-Edge-AI-Runtime-Solutions-for-Ambiq-Apollo-SoCs.html

[4] Press Release (2023). Ambiq Micro Unveils HeliosRT and HeliosAOT, Edge AI Runtime Solutions for Ambiq Apollo SoCs. [Online]. Available: https://www.businesswire.com/news/home/20230328005806/en/Ambiq-Micro-Unveils-HeliosRT-and-HeliosAOT-Edge-AI-Runtime-Solutions-for-Ambiq-Apollo-SoCs

[5] Ambiq Micro (2023). HeliosRT and HeliosAOT: Revolutionizing Edge AI Deployment. [Online]. Available: https://www.ambiq.com/helios-aot-and-helios-rt-revolutionizing-edge-ai-deployment

  1. The tech industry is witnessing the launch of Ambiq's energy-efficient edge AI runtimes, HeliosRT and HeliosAOT, designed to run on the Apollo family of System-on-Chips (SoCs).
  2. These runtimes, HeliosRT and HeliosAOT, optimize AI model deployment on power-sensitive devices, supporting diverse edge AI applications such as digital health and smart devices.
  3. The technology serves as a crucial step towards the integration of AI and Machine Learning (ML) models in the Internet of Things (IoT) and digital health sectors.
  4. Leveraging Ambiq’s proprietary Sub-threshold Power Optimized Technology (SPOT®), HeliosRT and HeliosAOT enable efficient AI processing, saving up to 10 times more energy compared to traditional Arm M4-based solutions.
  5. This energy efficiency allows for extended battery life and smaller battery usage in future devices, thereby challenging the status quo in wearable and IoT device manufacturing.
  6. These runtimes, HeliosRT and HeliosAOT, address the challenges in edge AI deployments by preserving battery life while delivering high AI performance.
  7. The seamless integration with the Edge Impulse ecosystem and dedicated developer tools simplifies the process of moving AI models from prototype to production on low-power hardware.
  8. The compatibility with platforms like Edge Impulse opens doors for innovation in the fields of data-and-cloud-computing technology, automation, and artificial intelligence.
  9. The importance of Ambiq Micro's mission in enabling AI and beyond everywhere becomes even more evident with the HeliosRT and HeliosAOT launches, pushing the boundaries of computing, digital, and tech innovation.

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