Ollama LLM server for NVIDIA Jetson (JetPack 6, arm64) with GPU acceleration.
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Ollama LLM server for NVIDIA Jetson devices (JetPack 6, L4T r36.x, arm64), built on top of dustynv/ollama with an up-to-date Ollama release installed over it for GPU-accelerated inference.
--runtime nvidia.| Variable | Default | Meaning |
|---|---|---|
OLLAMA_HOST | 0.0.0.0 | Address the Ollama API listens on. |
OLLAMA_MODELS | /data/models/ollama/models | Directory where pulled models are stored. |
Any other Ollama environment variable (e.g. OLLAMA_KEEP_ALIVE, OLLAMA_NUM_PARALLEL) can be passed with -e as well.
| Port | Purpose |
|---|---|
11434 | Ollama HTTP API. |
| Path | Purpose |
|---|---|
/data/models/ollama/models | Pulled models — mount a host directory here so models survive container re-creation. |
The container starts the Ollama server and then an interactive shell, so it must be run with a TTY (-t, together with -i) to stay up in the background:
docker run -dit --name ollama --restart unless-stopped \
--runtime nvidia \
-p 11434:11434 \
-v /path/to/models:/data/models/ollama/models \
docker.io/jnitecki/ollama:latest
Pull and run a model inside the running container:
docker exec -it ollama ollama run llama3.2
Content type
Image
Digest
sha256:61d5d00b6…
Size
7.1 GB
Last updated
about 1 month ago
docker pull jnitecki/ollama