JFrog AI/ML integrates everything Machine Learning and data science teams need to build and scale ML models in production, yielding a unified AI solution for every need.
AI/ML teams can reliably and rapidly move models from experimentation to production, while applying proven development security and control practices across the lifecycle.
For Self-managed JFrog subscriptions, JFrog AI/ML is installed using a front-end/back-end model.
The back-end is hosted by JFrog in the cloud.
The front-end service runs on your JPD. It is included in the Artifactory installer, and must be enabled.
Note
Do not enable the JFrog AI/ML service on Artifactory Edge nodes.
To enable JFrog AI/ML:
Verify Back End Connectivity: your JPD must be able to establish network connectivity with
https://grpc.qwak.ai. This must be a direct internet connection. Proxy configuration options are not supported.Go to the
$JFROG_HOME/artifactory/var/etcdirectory. Edit thesystem.yamlfile as follows:frontend: ml: jfrogMlAppState: VISIBLE jfconnect: enabled: trueRestart Artifactory.
Verify that the JFrog AI/ML service is running. See Monitoring Service Statuses.
In the JFrog Platform interface, click Platform module > AI/ML . Following that, Follow the instructions you receive to install essential components for operating AI/ML in your self-managed environment.