dhi.io/dcgm-exporter
NVIDIA DCGM Exporter
NVIDIA Data Center GPU Manager exporter for Prometheus. Exposes GPU telemetry (utilization, memory, temperature, power, profiling) over an HTTP /metrics endpoint via the DCGM library.
pushed 1 day ago
linux/amd64, linux/arm64
54.63 MB
for linux/amd64
180
for linux/amd64
Active support
-
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 DCGM Exporter
DCGM Exporter is a Prometheus exporter for NVIDIA GPU metrics, built on top of the NVIDIA Data Center GPU Manager (DCGM)
library. It exposes GPU telemetry (including utilization, memory usage, temperature, power draw, and hardware profiling
counters) as a Prometheus-compatible /metrics endpoint on port 9400. Common use cases include GPU cluster
observability, ML training and inference monitoring, and HPC job telemetry.
The exporter integrates with the NVIDIA container runtime to access GPU devices and supports Kubernetes deployments via the NVIDIA GPU Operator's built-in dcgm-exporter integration or the upstream Helm chart. For full documentation, see docs.nvidia.com.
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® is a registered trademark of NVIDIA Corporation. All rights in the mark are reserved to NVIDIA Corporation. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.
This listing is prepared by Docker. All third-party product names, logos, and trademarks are the property of their respective owners and are used solely for identification. Docker claims no interest in those marks, and no affiliation, sponsorship, or endorsement is implied.