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The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines in the ecosystem - Docker, LXC, Podman etc. Follow the User Guide for running GPU containers with these engines. The architecture of the NVIDIA Container Toolkit allows for different container engines in the ecosystem - Docker, LXC, Podman to be supported easily. The NVIDIA Container Toolkit provides different options for enumerating GPUs and the capabilities that are supported for CUDA containers.
Features
- The NVIDIA Container Toolkit is architected so that it can be targeted to support any container runtime in the ecosystem
- You can register the NVIDIA runtime as a custom runtime to Docker
- Enumerate GPUs and control which GPUs are visible to the container
- Control which features of the driver are visible to the container using capabilities
- Control the behavior of the runtime using constraints
- Users can control the behavior of the NVIDIA container runtime using environment variables
Project Samples
