Preface: The core difference between the NVIDIA Container Toolkit and the NVIDIA GPU Operator is their scope of management: the NVIDIA Container Toolkit is a low-level component that enables individual container runtimes (like Docker or containerd) to talk to a local GPU, while the NVIDIA GPU Operator is a high-level orchestration system that automatically deploys and manages that toolkit—along with drivers and monitoring software—across an entire Kubernetes cluster.

Background: The NVIDIA Container Toolkit is a collection of libraries and utilities that allows containers (like Docker, Podman, and Kubernetes) to automatically detect and leverage NVIDIA GPUs. It handles the heavy lifting of mapping GPU devices and mounting necessary driver libraries directly into the container.

The toolkit is made up of a few core components that work together behind the scenes:

•NVIDIA Container Toolkit CLI (nvidia-ctk): The main command-line tool used to configure container runtimes to use NVIDIA GPUs. It sets up the backend configurations for tools like Docker, containerd, and CRI-O.

•NVIDIA Container Runtime (nvidia-container-runtime): A wrapper around standard low-level container runtimes (like runC) that injects the required GPU devices and drivers when a container starts.

•NVIDIA Container CLI (nvidia-container-cli): The low-level utility that inspects the host environment, enumerates GPUs, and configures the container execution environment.

•NVIDIA Container Library (libnvidia-container): The underlying programming library that provides the API to construct and manage the GPU-accelerated containers.

•NVIDIA CDI Hooks (nvidia-cdi-hook): Uses the open standard Container Device Interface (CDI) to seamlessly specify and allocate GPU devices to containers.

Vulnerability details: CVE-2026-24260 NVIDIA Container Toolkit for Linux contains a vulnerability where an attacker could cause a time-of-check time-of-use race condition. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, and data tampering.

Official announcement: Please refer to the link for details – https://nvidia.custhelp.com/app/answers/detail/a_id/5850