This page is for version v1.1.1.
For other versions, use one of these documentation indexes:
- Latest (v1.5.1) (default): https://docs.nvidia.com/dynamo/latest/llms.txt
- dev: https://docs.nvidia.com/dynamo/dev/llms.txt
- v1.5.1: https://docs.nvidia.com/dynamo/v1.5.1/llms.txt
- v1.5.0: https://docs.nvidia.com/dynamo/v1.5.0/llms.txt
- v1.4.2: https://docs.nvidia.com/dynamo/v1.4.2/llms.txt
- v1.4.1: https://docs.nvidia.com/dynamo/v1.4.1/llms.txt
- v1.4.0: https://docs.nvidia.com/dynamo/v1.4.0/llms.txt
- v1.3.0: https://docs.nvidia.com/dynamo/v1.3.0/llms.txt
- v1.2.1: https://docs.nvidia.com/dynamo/v1.2.1/llms.txt
- v1.2.0: https://docs.nvidia.com/dynamo/v1.2.0/llms.txt
- v1.1.1: https://docs.nvidia.com/dynamo/v1.1.1/llms.txt
- v1.1.0: https://docs.nvidia.com/dynamo/v1.1.0/llms.txt
- v1.0.2: https://docs.nvidia.com/dynamo/v1.0.2/llms.txt
- v1.0.1: https://docs.nvidia.com/dynamo/v1.0.1/llms.txt
- v1.0.0: https://docs.nvidia.com/dynamo/v1.0.0/llms.txt
- v0.9.1: https://docs.nvidia.com/dynamo/v-0-9-1/llms.txt
- v0.9.0: https://docs.nvidia.com/dynamo/v-0-9-0/llms.txt
- v0.8.1: https://docs.nvidia.com/dynamo/v-0-8-1/llms.txt
- v0.8.0: https://docs.nvidia.com/dynamo/v-0-8-0/llms.txt
- v0.7.1: https://docs.nvidia.com/dynamo/v-0-7-1/llms.txt
- v0.7.0: https://docs.nvidia.com/dynamo/v-0-7-0/llms.txt
For the prebuilt container, see the TensorRT-LLM Quick Start.
Building a Custom Container
If you need to build a container from source (e.g., for custom modifications or a different CUDA version):
# TensorRT-LLM uses git-lfs, which needs to be installed in advance.apt-get update && apt-get -y install git git-lfs# On an x86 machine:python container/render.py --framework=trtllm --target=runtime --output-short-filename --cuda-version=13.1docker build -t dynamo:trtllm-latest -f container/rendered.Dockerfile .# On an ARM machine:python container/render.py --framework=trtllm --target=runtime --platform=arm64 --output-short-filename --cuda-version=13.1docker build -t dynamo:trtllm-latest -f container/rendered.Dockerfile .
Run the custom container:
./container/run.sh --framework trtllm -it