dhi.io/kserve-localmodel-controller
KServe LocalModel Controller
Enables local model caching and management.
pushed 19 hours ago
linux/amd64, linux/arm64
61.39 MB
for linux/amd64
237
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 KServe LocalModel Controller
The KServe LocalModel Controller is a Kubernetes controller component that manages local model caching and storage within a KServe deployment. It enables efficient model management by handling the caching of machine learning models on local storage, reducing the need to repeatedly download models from remote storage backends.
The LocalModel controller provides:
- Local Model Caching: Cache frequently-used models locally to improve inference startup times
- Storage Management: Efficiently manage local storage resources for model artifacts
- Model Lifecycle: Handle model loading, caching, and cleanup operations
- Integration with KServe: Works seamlessly with other KServe components like the storage initializer and inference services
This controller is typically deployed as part of a complete KServe installation and runs as a Kubernetes controller, monitoring and managing local model resources across the cluster to optimize model serving performance and resource utilization.
For more details, visit:
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
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.