NVIDIA TensorRT-RTX is an SDK for high-performance AI inference on NVIDIA RTX GPUs. This repository contains Open-Source Software components of TensorRT-RTX.
active 2025-06-11 → 2026-07-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 413 days from 2025-06-11 to 2026-07-28. Pushes: 15 total, peak 4 in a day. Pull requests: 9 total, peak 2 in a day. Issues: 11 total, peak 2 in a day. Comments: 53 total, peak 5 in a day. Stars: 43 total, peak 5 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 |
|---|---|---|---|---|
| copy-pr-bot[bot] | 13 | 7 | 0 | 6 |
| calocenrieti | 12 | 0 | 0 | 11 |
| tp5uiuc | 11 | 0 | 2 | 8 |
| rajeevsrao | 9 | 1 | 1 | 3 |
| tburt-nv | 8 | 3 | 3 | 1 |
| davemichael | 8 | 2 | 0 | 3 |
| kevren-nvidia | 5 | 0 | 0 | 5 |
| daxiong-nvidia | 4 | 0 | 0 | 4 |
| MosRat | 3 | 0 | 0 | 1 |
| p3achyjr | 3 | 1 | 2 | 0 |
| sestephens-nv | 2 | 1 | 1 | 0 |
| pinderpeng | 2 | 0 | 0 | 1 |
| lmx9 | 2 | 0 | 0 | 2 |
| zelenooki87 | 2 | 0 | 0 | 2 |
| adujardin | 2 | 0 | 0 | 2 |
| tang-HL9521 | 1 | 0 | 0 | 0 |
| gs-olive | 1 | 0 | 0 | 1 |
| mariusv-github | 1 | 0 | 0 | 1 |
| youngestuser | 1 | 0 | 0 | 0 |
| wep21 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#34p3achyjr2026-05-27 23:04
- Issue comment#34copy-pr-bot[bot]2026-05-27 01:35TensorRT-RTX 1.5 Release
- Pull request#34p3achyjr2026-05-27 01:35
- Issue#26MosRat2026-01-03 08:58[Bug] Error Code 3: API Usage Error in `addAttention` (mScopedOps check failed) during full model compilation
- Issue comment#26MosRat2026-01-03 08:58[Bug] Error Code 3: API Usage Error in `addAttention` (mScopedOps check failed) during full model compilation
- Releasesestephens-nv2025-12-19 21:07TensorRT-RTX 1.3 Release
- Pull request#27sestephens-nv2025-12-19 20:36
- Issue comment#27tp5uiuc2025-12-19 20:25TensorRT-RTX 1.3 Release
- Issue#10rajeevsrao2025-12-19 01:28[Question] Where is the utility function loadTimingCacheFile?
- Issue#8rajeevsrao2025-12-19 01:27Fail when export engine from onnx model with tensoRT-RTX
- Issue comment#8rajeevsrao2025-12-19 01:27Fail when export engine from onnx model with tensoRT-RTX
- Issue comment#11rajeevsrao2025-12-19 01:25TensorRT RTX 1.1 is very slow on 20-series graphics cards
- Issue comment#20rajeevsrao2025-12-19 01:23Error issue with RTX 2060 graphics card operation
- Issue#26MosRat2025-11-26 14:02[Bug] Error Code 3: API Usage Error in `addAttention` (mScopedOps check failed) during full model compilation
- Pull request#25tp5uiuc2025-11-20 22:26
- Issue comment#24tp5uiuc2025-11-13 00:18feat : add lint stage to Github workflows + lint files
- Issue comment#24tp5uiuc2025-11-12 22:36feat : add lint stage to Github workflows + lint files
- Issue comment#24tp5uiuc2025-11-12 22:30feat : add lint stage to Github workflows + lint files
- Issue comment#24copy-pr-bot[bot]2025-11-12 22:29feat : add lint stage to Github workflows + lint files
- Issue comment#9calocenrieti2025-11-12 21:36Request for improvement of processing speed in yolo
- Releasetp5uiuc2025-11-12 21:36TensorRT-RTX 1.2 Release
- Issue comment#9kevren-nvidia2025-11-12 18:20Request for improvement of processing speed in yolo
- Issue#12davemichael2025-11-11 19:23[Question] TensorRT-RTX support for CUDA 13.0 on Windows
- Issue comment#12davemichael2025-11-11 19:23[Question] TensorRT-RTX support for CUDA 13.0 on Windows
- Issue comment#23tp5uiuc2025-11-11 18:58TensorRT-RTX 1.2 Release
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 43 stars here means stars gained during the window, not the repo's star count.