tensorflow-serving Helm chart
intelVerified publisherNot scored yet
TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. TensorFlow Serving makes it easy to deploy new algorithms and experiments, while keeping the same server architecture and APIs. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and data.
Latest 0.1.0 1 year agoapp version 1.16.0 (not verified against the render) 0Artifact Hub
Radar Score
Latest render attempt (8 Sept 2026) failed: Error: execution error at (tensorflow-serving/templates/deployment.yaml:14:40): .Values.deploy.modelName is required.
Use --debug flag to render out invalid YAML
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Container images
The render produced no pod templates.
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Vulnerabilities
No current finding on any measured image of this version.
Indexed versions
| Version | Published | App version | Vulnerabilities | Radar Score |
|---|---|---|---|---|
| 0.1.0latest | 1 year ago | 1.16.0 | — | — |
The latest version and the previous major, as selected nightly from the repository’s index.
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