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Neural network runtime

What is a neural network runtime?

A neural network runtime is the software layer that executes AI models, handling computation and optimization across hardware platforms.

What is an example of a neural network runtime?

TensorFlow Lite or ONNX Runtime are examples that allow models to run efficiently on mobile devices and embedded systems.

How does a neural network runtime work?

The runtime interprets a trained model, manages memory, and executes operations using optimized libraries for CPUs, GPUs, or accelerators.

How does ai-coustics use neural network runtimes?

At ai-coustics we offer our own neural network runtime called AirTen, purpose built for real-time audio. It has a pure no_std Rust runtime, zero dependencies (ensuring unmatched portability), and a build which is tiny enough for microcontrollers but powerful enough for desktop and web. It’s integrated into our model delivery pipeline and available for use with our SDK. Read more about it here.