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tensorrt-cicd/TensorRT-LLM

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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.

active 2026-04-20 → 2026-10-26 (UTC)

Complete coverage28,459 / 28,459 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-12 (UTC)
Events
658
Pushes
461
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 190 days from 2026-04-20 to 2026-10-26. Pushes: 461 total, peak 30 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 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

ContributorContributionsPushesPRsComments
tensorrt-cicd20320300
trtllm-agent767600
xinhe-nv707000
jieli-matrix343400
dongfengy101000
2ez4bz4400
longlee06224400
kris10254400
hyukn3300
byshiue3300
ziyixiong-nv3300
peaceh-nv3300
shuyixiong2200
moraxu2200
JunyiXu-nv2200
lori-ren2200
thorjohnsen2200
dominicshanshan2200
liji-nv2200
govind-ramnarayan2200

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

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.