llama-stack/docs/source/distributions/remote_hosted_distro/nvidia.md

NVIDIA Distribution

The llamastack/distribution-nvidia distribution consists of the following provider configurations.

API	Provider(s)
agents	inline::meta-reference
datasetio	remote::huggingface, inline::localfs
eval	inline::meta-reference
inference	remote::nvidia
memory	inline::faiss
safety	inline::llama-guard
scoring	inline::basic, inline::llm-as-judge, inline::braintrust
telemetry	inline::meta-reference
tool_runtime	remote::brave-search, remote::tavily-search, inline::code-interpreter, inline::memory-runtime, remote::model-context-protocol

Environment Variables

The following environment variables can be configured:

• LLAMASTACK_PORT: Port for the Llama Stack distribution server (default: 5001)
• NVIDIA_API_KEY: NVIDIA API Key (default: ``)

Models

The following models are available by default:

• meta-llama/Llama-3-8B-Instruct (meta/llama3-8b-instruct)
• meta-llama/Llama-3-70B-Instruct (meta/llama3-70b-instruct)
• meta-llama/Llama-3.1-8B-Instruct (meta/llama-3.1-8b-instruct)
• meta-llama/Llama-3.1-70B-Instruct (meta/llama-3.1-70b-instruct)
• meta-llama/Llama-3.1-405B-Instruct-FP8 (meta/llama-3.1-405b-instruct)
• meta-llama/Llama-3.2-1B-Instruct (meta/llama-3.2-1b-instruct)
• meta-llama/Llama-3.2-3B-Instruct (meta/llama-3.2-3b-instruct)
• meta-llama/Llama-3.2-11B-Vision-Instruct (meta/llama-3.2-11b-vision-instruct)
• meta-llama/Llama-3.2-90B-Vision-Instruct (meta/llama-3.2-90b-vision-instruct)

Prerequisite: API Keys

Make sure you have access to a NVIDIA API Key. You can get one by visiting https://build.nvidia.com/.

Running Llama Stack with NVIDIA

You can do this via Conda (build code) or Docker which has a pre-built image.

Via Docker

This method allows you to get started quickly without having to build the distribution code.

LLAMA_STACK_PORT=5001
docker run \
  -it \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ./run.yaml:/root/my-run.yaml \
  llamastack/distribution-nvidia \
  --yaml-config /root/my-run.yaml \
  --port $LLAMA_STACK_PORT \
  --env NVIDIA_API_KEY=$NVIDIA_API_KEY

Via Conda

llama stack build --template nvidia --image-type conda
llama stack run ./run.yaml \
  --port 5001 \
  --env NVIDIA_API_KEY=$NVIDIA_API_KEY
  --env INFERENCE_MODEL=$INFERENCE_MODEL