CPU only

docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama

Nvidia GPU

Install the NVIDIA Container Toolkit.

Install with Apt

1. Configure the repository

    curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey \
        | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
    curl -fsSL https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
        | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
        | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
    sudo apt-get update

2. Install the NVIDIA Container Toolkit packages

    sudo apt-get install -y nvidia-container-toolkit

Install with Yum or Dnf

1. Configure the repository

    curl -fsSL https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo \
        | sudo tee /etc/yum.repos.d/nvidia-container-toolkit.repo

2. Install the NVIDIA Container Toolkit packages

    sudo yum install -y nvidia-container-toolkit

Configure Docker to use Nvidia driver

sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker

Start the container

docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama

Note

If you're running on an NVIDIA JetPack system, Ollama can't automatically discover the correct JetPack version. Pass the environment variable JETSON_JETPACK=5 or JETSON_JETPACK=6 to the container to select version 5 or 6.

AMD GPU

To run Ollama using Docker with AMD GPUs, use the rocm tag and the following command:

docker run -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama:rocm

Vulkan Support

Vulkan is bundled into the ollama/ollama image and is enabled by default when the container can access the GPU devices.

docker run -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama

Use OLLAMA_VULKAN=0 to disable Vulkan, or GGML_VK_VISIBLE_DEVICES=<ids> to select specific Vulkan devices.

Run model locally

Now you can run a model:

docker exec -it ollama ollama run llama3.2

Try different models

More models can be found on the Ollama library.