This page is for version v0.8.1.
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
Pip (PyPI)
Install a pre-built wheel from PyPI.
# Create a virtual environment and activate ituv venv venvsource venv/bin/activate# Install Dynamo from PyPI (choose one backend extra)uv pip install "ai-dynamo[sglang]" # or [vllm], [trtllm]
Pip from source
Install directly from a local checkout for development.
# Clone the repositorygit clone https://github.com/ai-dynamo/dynamo.gitcd dynamo# Create a virtual environment and activate ituv venv venvsource venv/bin/activateuv pip install ".[sglang]" # or [vllm], [trtllm]
Docker
Pull and run prebuilt images from NVIDIA NGC (nvcr.io).
# Run a container (mount your workspace if needed)docker run --rm -it \--gpus all \--network host \nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.1 # or vllm, tensorrtllm
Replace 0.8.1 with your desired version tag. Check the GitHub releases for available versions.