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 built our own neural network runtime called AirTen, purpose-built for real-time audio. Written in pure no_std Rust with zero dependencies, AirTen runs anywhere and is tightly integrated with our model delivery pipeline and SDK. It's what lets our Quail family deliver low-latency enhancement and run many sessions in parallel on a single CPU host.
