NVIDIA TensorRT 11.1’s Global Performance Tuner provides automatic, accuracy-aware performance tuning for neural-network deployment.

NVIDIA’s Developer Blog identifies the Global Performance Tuner as an automatic performance-tuning feature released in TensorRT 11.1. The supplied description specifically calls the tuning accuracy-aware.

The two-part article series addresses performance optimization beyond a single build route. Its first installment explains that deploying a trained neural network is a compilation problem with multiple legitimate answers, rather than simply translating each operator into a GPU kernel.

The supplied excerpts do not specify tuning algorithms, supported model classes, hardware requirements, or numerical performance improvements. They therefore support the feature’s release and stated purpose, but not a quantified throughput, latency, or cost benefit.