Streamline AI/ML development with your CI/CD seamlessly
GO FROM DREAM TO DONE
Experience a seamless AI/ML development lifecycle with integrated artifact and dependency management. Access your JFrog Hugging Face repository directly from the Qwak UI, gaining instant visibility into security threats in models with JFrog Xray.
Guarantee the implementation of security policies in machine learning development, leveraging native policy-driven deployment blocking to enhance user confidence in compliance and model security. Guarantee the implementation of security policies in machine learning development, leveraging native policy-driven deployment blocking to enhance user confidence in compliance and model security.
Benefit from seamless artifact management through centralized storage in Artifactory, advanced analysis of dependencies, security scanning using Xray, and comprehensive support for security, compliance, and precise access control.
Qwak + JFrog Demo
See how Qwak’s MLOps platform natively integrates with the JFrog Platform to manage and secure all your MLOps.
COMPATIBLE WITH JFROG PRODUCTS
JFrog Artifactory + Qwak
Qwak is an end-to-end MLOps platform with native integration with Artifactory. The integration is available from the Qwak UI and will automatically create a JFrog project with dedicated repositories for your MLOps build artifacts. The remote repositories proxy PYPI and HuggingFace Hub for your Qwak projects and facilitate dependency resolution.
JFrog Xray + Qwak
Qwak, an end-to-end MLOps platform, natively integrates with Xray to provide comprehensive security scanning. Within Qwak, users gain insight into security threats within models and ensure compliance with security policies while Xray scans models, python dependencies, and containers used in the ML pipeline, including Qwak artifacts such as model containers containing serialized models, dependencies, and drivers necessary for execution.
