TensorRT LLM
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Overview
HEALTH SCORE
Excellent*
Partial score (2/3 categories)
58out of 65
Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent*(58/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 3 days.
Bus factor
292 active maintainers currently have merge rights.
Organization Diversity
Contributors span 597 organizations.
Project Achievements
Leaderboards
About
TensorRT-LLM is an open-source library that enables efficient deployment and optimization of large language models (LLMs) using NVIDIA's TensorRT framework. It provides tools and optimizations for running LLM inference on NVIDIA GPUs with high performance and reduced latency.
First commit
Software value
$70M
Tags
blackwell
cuda
llm-serving
moe
pytorch
License(s)
Other
Data sources
Git
GitHub