dhi.io/nvidia-gpu-operator
NVIDIA GPU Operator
The NVIDIA GPU Operator automates the management of the NVIDIA software components needed to provision GPUs in Kubernetes clusters. This image ships the operator controller, the nvidia-validator, the vectorAdd CUDA validation sample, and kubectl, together with the operand manifests the controller renders at runtime and the operator CRDs.
pushed 1 day ago
linux/amd64, linux/arm64
71.15 MB
for linux/amd64
181
for linux/amd64
Active support
gpu-operator, nvidia-validator, kubectl
Build Level 3
Tamper-evident proof of how and from what sources this image was built. Build Level 3 is the highest the SLSA build track defines.
CycloneDX SBOM + SPDX SBOM
A software bill of materials in both CycloneDX and SPDX formats so it drops straight into your existing tooling. Audit exactly what you're shipping.
A Vulnerability Exploitability exchange document, Docker's assessment of which CVEs actually affect this image and which don't apply, so you can focus on real risk instead of chasing false positives.
Available
A link to everything used to build the image, package source code, Git repos, and build files, so you can audit or reproduce the build and stay compliant with open source licenses.
Every known vulnerability in this image, shown in full rather than hidden. The VEX data flags which ones actually apply, so you can tell real exposure from noise before you ship.
Exactly what changed in this build, down to the package bumps and fixes behind the version you're pulling.
Verifies no keys, tokens, or credentials were accidentally baked into the image.
The image layers were scanned for known malware signatures before publishing.
About NVIDIA GPU Operator
The NVIDIA GPU Operator automates the management of the NVIDIA software components required to provision and monitor
GPUs in Kubernetes clusters. Using the operator pattern, it reconciles a ClusterPolicy custom resource to manage the
GPU driver, container toolkit, device plugin, feature discovery, DCGM monitoring, and validation components as
DaemonSets, removing the need to install and maintain these components by hand on every node.
This image ships the operator controller together with the nvidia-validator (which verifies driver, toolkit, device
plugin, and CUDA workload readiness on GPU nodes), the vectorAdd CUDA validation sample the validator runs, kubectl,
and the operand manifests the controller renders at runtime together with the operator CRDs.
For more information, visit the official repository: https://github.com/NVIDIA/gpu-operator
About Docker Hardened Images
Docker Hardened Images are built to meet the highest security and compliance standards. They provide a trusted foundation for containerized workloads by incorporating security best practices from the start.
Why use Docker Hardened Images?
These images are published with near-zero known CVEs, include signed provenance, and come with a complete Software Bill of Materials (SBOM) and VEX metadata. They're designed to secure your software supply chain while fitting seamlessly into existing Docker workflows.
Trademarks
NVIDIA® and CUDA® are trademarks and/or registered trademarks of NVIDIA Corporation. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.