Kitops: CNCF Tool for Packaging AI Models and Data as OCI Artifacts

Kitops is a CNCF-hosted MLOps tool by kitops-ml for packaging AI/ML models and data into OCI Artifacts. Updated in March 2026, it provides a standardized structure for versioning code, configuration, and model files across the development lifecycle.

Use Cases

• Package PyTorch or TensorFlow models into OCI Artifacts for versioned distribution
• Use Kitfile configuration to link specific data files with their corresponding model versions
• Automate Kubernetes-based model serving using standardized OCI-compliant packages

Strengths

• Apache-2.0 licensed for open commercial use
• CNCF-hosted project ensuring community-driven standards
• Supports GGUF, PyTorch, and TensorFlow formats

Limitations

• Repository contains tool source code rather than a collection of data observations
• Requires external OCI-compliant registries for artifact storage

Provenance

Source

kitops-ml GitHub repository

Freshness

Updated as of March 2026.