MLOps

Train & deploy any model with a fully managed MLOps platform

From idea to high-scale, the JFrog ML MLOps platform lets you build, deploy, manage, and monitor any AI or ML models with ease. Whether you're working with GenAI, LLMs, or classic ML models, JFrog ML has you covered. 

MLOps
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 a centralized and production ready model registry.

  • Manage the entire model lifecycle with a centralized registry.
  • Share models and collaborate with your entire team.
  • Integrate with your CI/CD pipelines to automate model processes
  • Gain visibility into training parameters, hyper parameter tuning and model metadata.
Model Registry
Model Training

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, powering applications like fraud detection, recommendation systems, and chatbots.
  • Execute batch inference on any dataset from various data sources.
  • Deploy multiple model versions and perform model A/B tests to evaluate and compare real-world performance.
Model Serving
Model Monitoring

Model Monitoring

Monitor model performance and data anomalies in real time.

  • Detect shifts in data distribution to monitor model accuracy over time and adapt parameters as needed.
  • Monitor models to improve prediction quality and maintain system reliability.
  • Integrate with monitoring tools such as Slack and PagerDuty to track the health and performance of models in real time.
Don’t be late in the game. Your AI in production needs flexible infra, stay ahead or fall behind.
Get a demo

Don’t be late in the game. AI apps need flexible infra, stay ahead or fall behind.
Get a demo

Don’t just take our word for it

In the rapidly evolving landscape of property management technology, optimizing data processes remains paramount. Guesty, a leading player in this domain, faced challenges in streamlining its data science operations and hastening model deployment. This case study delves into Guesty's unique challenges and highlights how a strategic partnership with JFrog ML provided innovative solutions.

“JFrog ML led us to build a project from scratch in less than a month for the company's customers.”
Elad Silvas, Data Science Manager

Explore the JFrog ML platform

LLMOps
Develop LLM Applications
Develop LLM Applications
Feature Store
Transform Your Data
Transform Your Data