dhi.io/kserve-agent
KServe Agent is a component that manages model serving workloads in KServe.
pushed 20 hours ago
linux/amd64, linux/arm64
43.93 MB
for linux/amd64
235
for linux/amd64
Active support
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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.
KServe Agent is a lightweight sidecar proxy component that enhances machine learning model serving within Kubernetes environments. It runs alongside your model server container and provides advanced serving capabilities including request batching, model pulling, and observability features.
The agent operates as a transparent proxy that receives client requests, processes them through configurable middleware for batching and logging, and forwards them to your model server. This architecture enables you to add production-ready serving features to any model server without requiring code changes.
For more information about KServe, visit the upstream documentation at https://kserve.github.io/website/.
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These images are published with 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.
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