Train & deploy any model with a fully managed MLOps solution
Accelerate AI pipelines and get to production, fast. JFrog ML lets you build, deploy, manage, and monitor any AI or ML models with ease.
JFrog ML streamlines AI development from prototype to production, freeing you from infrastructure concerns so you can focus on what matters.
Model Registry
Take your models from research to production with an advanced, centralized, and production ready model registry. JFrog ML brings all the advantages of JFrog Artifactory to your MLOps lifecycle.
Manage the entire model lifecycle with a single centralized registry
Gain visibility into training parameters, hyper parameter tuning and model metadata
Manage model and traditional software artifacts in one system
Bring DevOps and MLOps together one one source of truth
Model Training
Easily train and fine-tune AI/ML models, from linear regression to advanced deep learning and LLMs, with a single click.
Trained models are saved in the model registry for a smooth transition from training to production
Train models on GPU or CPU machines to handle any workload
Retrain models periodically with easy-to-set-up automations
Model Serving
Deploy AI/ML models to production at any scale in one click.
Serve models as API endpoints for any realtime machine learning use cases
Execute batch inference on any dataset from various data sources
A/B test models to compare real-world performance
Model Monitoring
Monitor model performance and detect data anomalies in real time.
monitor model accuracy over time and adapt parameters as needed
Continually improve prediction quality and maintain system reliability
Integrate with monitoring and alerting tools such as PagerDuty and Slack to track the health and performance of models in real time
Over 7,500 DevOps Teams Trust JFrog
Multi-Cloud: Our Cloud or Yours
JFrog ML offers native support for AWS and GCP, allowing you to deploy either on our platform or your own infrastructure for a streamlined flow.
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