Cloudsmith ML Model Registry

Cloudsmith ML Model Registry provides a hosted registry for machine learning models and related artifacts, enabling teams to store, version, and manage model artifacts alongside existing package and artifact workflows. It exposes web and API access for integration with CI/CD pipelines and deployment tooling, and includes features for access control and auditability. The product is positioned to sit alongside package management and artifact storage services to streamline model lifecycle operations.

• Model versioning — Track and manage model versions and related artifacts to ensure reproducible deployments and rollbacks.
• Artifact storage — Store model binaries, metadata, and associated files in a secure, managed registry with retrieval via API.
• API-first access — Use REST APIs to push, pull, and query models from CI/CD pipelines and deployment tools.
• Access controls & permissions — Manage user and team permissions to control who can publish or deploy models.
• Audit logging — Record publish and access events to support traceability and compliance workflows.

Getting started: create an account on the Cloudsmith product page, create a registry or repository for models, and follow the API documentation to integrate publishing and retrieval into CI/CD. Use access controls to assign teams and roles, and version models by publishing successive artifact releases. The registry can be consumed by deployment tooling that retrieves specific model versions for inference or packaging into containers.