NVIDIA Container Toolkit
An official toolkit from NVIDIA for transparently using GPUs in container environments, including components such as nvidia-container-runtime and nvidia-container-cli, with support for runtimes including Docker and containerd.
Timeline (last 90 days)
With the NVIDIA Container Toolkit plus simulated devices or single-card passthrough, the scheduler's behavioral logic can be reproduced in constrained environments.
The role of the NVIDIA Container Toolkit is to enable containerd to inject host GPU devices into the OCI container spec.
The NVIDIA Container Toolkit can be installed on Ubuntu/Debian via the official repository, and the package name is nvidia-container-toolkit.
When running Ollama with docker run, it is usually necessary to mount a model storage volume (such as -v ollama:/root/.ollama), otherwise pulled models will be lost after the container restarts; if the container needs to access the host GPU, --gpus=all must also be used along with the NVIDIA Container Toolkit installed.
All Facts (5)
NVIDIA provides the NVIDIA Container Toolkit, enabling Docker containers to directly access the host machine's GPU resources.
60%UnverifiedWith the NVIDIA Container Toolkit plus simulated devices or single-card passthrough, the scheduler's behavioral logic can be reproduced in constrained environments.
50%UnverifiedThe role of the NVIDIA Container Toolkit is to enable containerd to inject host GPU devices into the OCI container spec.
50%UnverifiedThe NVIDIA Container Toolkit can be installed on Ubuntu/Debian via the official repository, and the package name is nvidia-container-toolkit.
50%UnverifiedWhen running Ollama with docker run, it is usually necessary to mount a model storage volume (such as -v ollama:/root/.ollama), otherwise pulled models will be lost after the container restarts; if the container needs to access the host GPU, --gpus=all must also be used along with the NVIDIA Container Toolkit installed.
50%