Open Source
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 NV
Our verdict
We have not reviewed TensorRT-LLM yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About TensorRT-LLM
TensorRT-LLM is a Python framework for defining and optimizing large language model inference on NVIDIA GPUs. It provides a high-level API to build LLM architectures and applies state-of-the-art optimizations like quantization and kernel fusion, then generates Python and C++ runtimes to execute inference efficiently.
Best for
Teams deploying LLMs at scale on NVIDIA infrastructure who need maximum inference performance.
Use cases
- Deploying LLMs with low latency on NVIDIA hardware
- Optimizing inference throughput for production serving
- Building custom inference pipelines with fine-grained control
Notes
13,781 stars on GitHub. Last updated 2026-06-01.
Pros
- Deep NVIDIA GPU optimization built in, not bolted on
- Supports both Python and C++ runtime generation for flexibility
- Active community project with 13k+ stars and regular updates
Cons
- Locked to NVIDIA GPUs, no portability to other accelerators
- Steeper learning curve than higher-level inference frameworks
- Requires understanding of LLM architecture and optimization techniques
Key facts
What we have checked
- Latest prerelease version
- 1.4.0rc1 (released 22 Oct 2026)
- GitHub stars
- 14,715
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How TensorRT-LLM is growing
13,781 to 14,715
Alternatives
Alternatives to TensorRT-LLM
| Record | Type | How we know | Checked |
|---|---|---|---|
| FasterTransformerAlternative to this | Open source | Named in the listing | Not dated |
| llama.cppAlternative to this | Open source | Named in the listing | Not dated |
| LMDeployAlternative to this | Open source | Named in the listing | Not dated |
| MInferenceAlternative to this | Open source | Named in the listing | Not dated |
| mistral.rsAlternative to this | Open source | Named in the listing | Not dated |
| MNN-LLMAlternative to this | Open source | Named in the listing | Not dated |
| SGLangAlternative to this | Open source | Named in the listing | Not dated |
| vLLMAlternative to this | Open source | Named in the listing | Not dated |
Compare
Compare TensorRT-LLM side by side
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 1.4.0rc1
Released 1.4.0rc0
Released 1.3.0rc29
Released 1.3.0rc28
Released 1.3.0rc27
Released 1.3.0rc26
Released 1.3.0rc25
Released 1.3.0rc24
Released 1.3.0rc23
Released 1.3.0rc22
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
LMDeploy
Community
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
SGLang
Community
SGLang is a high-performance serving framework for large language models and multimodal models.
vLLM
Community
A high-throughput and memory-efficient inference and serving engine for LLMs
FasterTransformer
Community
Transformer related optimization, including BERT, GPT
llama.cpp
Community
LLM inference in C/C++
LMDeploy
Community
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
MInference
Community
[NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to
mistral.rs
Community
Fast, flexible LLM inference
MNN-LLM
Community
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
SGLang
Community
SGLang is a high-performance serving framework for large language models and multimodal models.
vLLM
Community
A high-throughput and memory-efficient inference and serving engine for LLMs
Pairs with
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