TensorRT optimises trained deep learning models for deployment by applying precision calibration, layer fusion, and kernel auto-tuning. The result is models that run significantly faster and use less memory — critical for real-time applications.
At Informatica Systems, we deployed TensorRT for the Roaya AI engine, implementing a smart GPU queuing system to handle multiple video streams simultaneously.
TensorRT is essential for production AI systems where inference latency directly impacts user experience or safety — from autonomous vehicles to medical imaging to surveillance.