Description
Machine-learning projects in Python can build, load, and run TensorRT inference engines for high-performance deep-learning deployment on NVIDIA hardware. This is useful for machine-learning engineers who need scripting, testing, or integration around optimized models.
The bindings execute GPU inference and depend on compatible drivers, CUDA, TensorRT libraries, and model conversion. Users should validate output accuracy and resource use before production deployment.