Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 1
NVIDIA TensorRT's Global Performance Tuner scales optimization beyond single build routes
“Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers.”
NVIDIA introduces a Global Performance Tuner for TensorRT that explores multiple scheduling paths during engine compilation, going beyond the default single build route. The system makes interdependent decisions across graph transformations, fusion, memory placement, and quantization. This matters for ML engineers deploying models at scale who need better inference performance without manual tuning.