---
title: "Cloudsmith ML Model Registry"
description: "Securely manage and distribute Hugging Face and other ML models with Cloudsmith’s ML Model Registry - designed to give teams full control of their machine learning artifacts in the software supply chain."
canonical_url: "https://cloudsmith.com/product/ml-model-registry-form"
last_updated: "2025-10-22T15:55:01Z"
---
# Cloudsmith ML Model Registry

## **A single point of control** for ML models used across your organization

AI adoption is moving fast, and your teams are driving it. Cloudsmith keeps development moving with governance, security, and global distribution built in—so you can manage your AI artifacts in the same platform as all your other critical artifacts - whether they're from Hugging Face, alternative sources, or your own proprietary models. 

## Enterprise governance for your team's ML workflows 

Machine learning models are critical to modern engineering workflows, but enterprises often struggle to control and secure them within their software supply chain. Cloudsmith extends artifact management to AI/ML, giving your teams a central registry for models and datasets. Developers simply point their projects to Cloudsmith as they would to a canonical ML registry, while enterprises gain governance, security, and global delivery at scale. With proxying and caching for Hugging Face and other public sources, organizations can adopt external models confidently and build on them securely.

### The single source of truth for your machine learning models and datasets

Secure your publicly-sourced and private ML models and datasets alongside 30+ other binary formats. Cloudsmith lets you manage every artifact in one trusted registry, for consistent governance, security, and delivery.

### Use Cloudsmith just like HuggingFace.co

Push and pull models with the same commands you use on Hugging Face. Configure projects to source models directly from Cloudsmith, or integrate via CLI and API for seamless workflows.

### Proxy and cache public registries

Accelerate adoption of community models without the risk. Cloudsmith proxies and caches models and datasets from Hugging Face Hub, scanning for security, compliance, and package quality signals before they reach your teams.

### Control access to proprietary models

Your ML models may represent years of R&D and be based on sensitive data. Cloudsmith gives you fine-grained control over who can access and distribute them, protecting IP while ensuring compliance.

### A flexible, developer-friendly approach to software repositories

Structure repositories to match your process - store models alongside containers and packages, or separate them into dev, staging, and production. Cloudsmith adapts to the way your teams work.

### Safely share models with customers and partners

Grant access to your models and datasets using tightly-scoped, read-only entitlement tokens. These are perfect for enterprises who rely on shipping models to customers. 

security and governance

## Built-in security for AI/ML artifacts

Cloudsmith manages ML models and datasets along with related key security and quality signals, making them available across the platform for governance and reporting. Enterprises can define and enforce policies to ensure only trusted models move into development and production.

### Security & quality signals

Cloudsmith analyzes AI artifacts to provide visibility into vulnerabilities, licenses, and quality metadata.

### Policy enforcement

Use Enterprise Policy Management (EPM) to automatically block, quarantine, or approve models and datasets based on analyzed signals.

### Unified visibility

Track metadata, policy actions, and access events for models, datasets, and other AI artifacts alongside your critical software assets.

Talk to someone at Cloudsmith today about how to take control of your AI/ML model workflows.

[Talk to our team](https://cloudsmith.com/company/contact-sales)