NVIDIA published a two-part series on extending TensorRT optimization beyond a single build route, putting the breadth of developer-tool tuning in focus.
NVIDIA's developer blog released Part 1 and Part 2 of a guide to tuning TensorRT performance across more than one build route with the Global Performance Tuner. Three arXiv papers on probability-distribution learning and auditing AI-assisted decisions landed alongside it.
If inference tuning moves from a one-off build setting to work spanning several routes, it bears directly on deployment tuning effort. This is mainly an official technical explainer, though, and neither availability timing nor measured gains can be confirmed from this material. Note that the accompanying papers cover different subjects and may not form a single trend.
Whether the Global Performance Tuner reaches general availability or official documentation, and whether independent benchmarks appear.