NVIDIA Container Toolkit is a container runtime that enables GPU-accelerated workloads in containerized environments.
The toolkit solves the problem of making NVIDIA GPUs accessible to containerized applications. It provides a container runtime library and utilities that automatically configure containers to leverage available GPUs without requiring the CUDA Toolkit to be installed on the host system. The approach works by intercepting container initialization and injecting the necessary GPU device access and driver libraries at runtime.
Teams running GPU-accelerated workloads in Docker or other container environments should adopt this toolkit. It suits projects that need to distribute machine learning models, scientific computing applications, or other GPU-intensive tasks across containerized infrastructure. The only requirement is that the NVIDIA driver be installed on the host system; the toolkit handles the rest of the configuration automatically.
The project maintains an active contribution process with a documented code of conduct and clear guidelines for submitting issues and pull requests. Development activity centers on addressing user-reported issues and integrating community contributions through the public repository.
