TensorRT-LLM compiles models into highly optimized NVIDIA kernels with in-flight batching, quantization and multi-GPU tensor parallelism — the reference for squeezing maximum tokens per second from NVIDIA hardware.
| Category | Inference server |
| Type | Inference engine (NVIDIA) |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | C++/Python |
| Skill level | Advanced |
| Best for | maximum performance on NVIDIA data-center GPUs |
Other open-source inference server tools worth comparing:
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BentoMLPackage any model into a production APITensorRT-LLM is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Yes. TensorRT-LLM is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include vLLM, TGI, SGLang. See the comparisons above to choose.
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