TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
active 2024-08-23 → 2026-08-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 713 days from 2024-08-23 to 2026-08-05. Pushes: 141 total, peak 5 in a day. Pull requests: 6 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 2 total, peak 2 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| pamelap-nvidia | 143 | 139 | 3 | 0 |
| JennyLiu-nv | 5 | 0 | 3 | 2 |
| jieli-matrix | 1 | 1 | 0 | 0 |
| schetlur-nv | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#3pamelap-nvidia2025-06-27 02:46
- Issue comment#3JennyLiu-nv2025-06-26 05:32Add QA functional and performance test cases
- Pull request#3JennyLiu-nv2025-06-26 05:28
- Issue comment#2JennyLiu-nv2025-06-26 05:26Add functional and performance test cases
- Pull request#2JennyLiu-nv2025-06-26 05:26
- Pull request#2JennyLiu-nv2025-06-26 03:28
- Pull request#1pamelap-nvidia2024-09-03 19:46
- Pull request#1pamelap-nvidia2024-09-03 19:42
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.