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Nvidia adds Global Performance Tuner to TensorRT 11.1
Nvidia introduced the Global Performance Tuner in TensorRT 11.1 to provide automated, accuracy-aware, end-to-end performance tuning for AI models.
Summary
Nvidia released the Global Performance Tuner in TensorRT 11.1 to help developers optimize AI models beyond a single default build route. The feature treats scheduling strategies as searchable build routes using over 200 compiler knobs and includes accuracy-aware constraints to select the fastest eligible engine.
What changed
- TensorRT 11.1 added the Global Performance Tuner to represent scheduling strategies as explicit, searchable build routes using over 200 knobs.
- trtexec implements a tuning loop that expands route expressions, builds and measures candidates, discards failing routes, and selects the fastest engine.
- Accuracy-aware tuning uses an accuracy tolerance threshold to treat accuracy as a constraint and performance as the ranking criterion.
- Torch-TensorRT 2.15 will release a Python implementation of the feature.
Availability
Available now“The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1 .”
Founder takeaway
Review the new TensorRT 11.1 Global Performance Tuner documentation and trtexec implementation to evaluate alternative build routes for your AI inference workloads.
Source
Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.
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