NVIDIA/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.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #580 of 2,794 repositories GStars tracks this week (top 21%).
5 releases in the last 90 days, the latest 6 days ago, with 421 contributors on GitHub.
Use Cases & Benefits
- Provides a Python API to define and optimize Large Language Models for efficient inference on NVIDIA GPUs using state-of-the-art techniques.
- Delivers high-performance LLM inference with advanced optimizations like custom kernels, quantization, and multi-GPU support for scalable deployment.
- Use for deploying large-scale, multi-GPU LLM inference services with optimized throughput and low latency on NVIDIA hardware.
- Use for experimenting with and extending LLM runtimes in PyTorch-native architecture for custom model adaptations and research.
- Use for integrating optimized LLM inference into production pipelines leveraging NVIDIA Triton Inference Server and Dynamo ecosystem.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
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.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+681 stars over 88 days across 8 snapshot days; best day +7 on Sep 20.
Forks
2.8K+244
Open issues
1.8K+231
Compared with peers in Machine Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| Comfy-Org/ComfyUI | 142.0K | +4.4K | 60 | 3 days ago |
| vllm-project/vllm | 95.2K | +1.3K | 75 | 4 days ago |
| pytorch/pytorch | 105.0K | +276 | 64 | 22 days ago |
| netdata/netdata | 81.1K | +0 | 75 | 12 days ago |
| NVIDIA/TensorRT-LLM | 14.9K | +0 | 75 | 6 days ago |
| kserve/kserve | 6.1K | +0 | 75 | 25 days ago |
| Category median | 95.2K | +276 | 75 | — |
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