CI/CD for model deployment
From research to production
Transition from model development to production and gain full workflow visibility with seamless integration to the experiment manager and orchestration.
Promote models directly from Git Actions, trigger model testing pipelines, and deploy new models with simple CI/CD integration.
Model monitoring and visibility
Gain a clear view into the serving-engine metrics via a single dashboard or restAPI, while allowing for custom model drift functions with full model serving statistics.
Key ModelOps Functionality
Model management and more
Built-in model repository search capabilities with full experiment management integration.
Reproduce any model trained on the system, directly linked with the build process or pipeline.
Model endpoint resolver
Dynamic lookup table for any model endpoint in the system.
Model serving dashboard with real time performance metrics directly from the serving engine.
Automate any step in the model life-cycle with restAPI / pythonic interface. From model testing pipelines and model promoting, through model meta-data update/query, and ending with model performance metric access.
Exponentially grew the amount of experiments per project, extracting deep & meaningful research insights.
Deploy and beyond
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