TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Growth we measured
2 daily star snapshots stored by whatstrending.ai, 2026-09-19 to 2026-09-20. GitHub shows today's number; this is the movement behind it.
- Ranked #661 by stars among the 2,291 repos we snapshot, using the latest star count we recorded for each.
How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 2 snapshots for NVIDIA/TensorRT-LLM between 2026-09-19 and 2026-09-20. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.
Add the Trending AI Repo badge to your README
NVIDIA/TensorRT-LLM is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.
[](https://whatstrending.ai/repos/NVIDIA/TensorRT-LLM)<a href="https://whatstrending.ai/repos/NVIDIA/TensorRT-LLM"><img src="https://whatstrending.ai/badge/repo/NVIDIA/TensorRT-LLM.svg" alt="Trending AI Repo"></a>We never open issues or pull requests to ask maintainers to add this. How the badge works →