heliaAOT

Blazing Fast Neural Inferencing

heliaAOT™ is an ahead-of-time compiler that converts LiteRT models into highly optimized, standalone C inference modules—custom-tailored for Ambiq’s ultra-low-power SoCs. It produces compact, efficient, and human-readable C code with zero runtime overhead, enabling lightning-fast, power-efficient AI at the edge.

Design Resources

Video Library

heliaAOT Highlights

Zero Guesswork in Memory Allocation

Automatic tensor memory planning eliminates over-allocation and strips away unused code for lean, efficient deployment.

Up to 10x Smaller Code Size

Dramatically reduces flash footprint on Apollo SoCs compared to standard TensorFlow Lite for Microcontrollers.

Deep Optimization & Customization

Fine-tune inference pipelines at the operator, subgraph, or full graph level with advanced techniques like layer fusion, tensor reordering, and intelligent memory placement.