JFrog ML

MLOps & DevSecOps on a Single Platform

AI Delivered, Fully Secured, Lightning Fast

Empower developers to streamline AI/ML development, eliminate infrastructure worries, and easily deploy to production.

Universal Deployment

Build and deploy any type of model, anywhere, at any scale

Security Built-In

Detect and block risky open source models and model components seamlessly

Single Platform

Stop managing multiple tools and systems for AI/ML deployments 

 

THE CHALLENGE

Building AI/ML involves multiple stakeholders, tools, and skills, leading to low success rates and long time to market.

The complexity and fragmentation of MLOps tools creates infrastructure hassles, increased efforts to run experiments, and less visibility and trust in what’s being delivered by Data Science and ML Engineering teams. 

THE SOLUTION

Accelerate AI pipelines with a platform built to simplify, secure, and scale MLOps. 

 JFrog ML delivers the tools, integrations, environment and out of the box approach needed for successful AI/ML development. Empower AI developers to bring new models to production fast and securely with integrated security.

A Proven Track Record of Happy Customers

Powering 7,500+ DevOps Teams | 80% of the Fortune 100

We ditched our in-house platform for JFrog ML. I Wish we had found them sooner.”

Ryan Rollings
Principal Machine Learning Engineer, Upside

“JFrog ML… enabled us to deploy a complex feed recommendation engine within a remarkably short timeframe.”

Asi Messica
VP Data Science, Lightricks

 

Unite MLOps & DevSecOps on a Single Platform

Bring AI/ML model development into your existing secure software supply chain

          • Manage model artifacts alongside traditional software components
          • Embed security and development best practices into your AI/ML workflows with zero disruption for AI teams
          • Govern model and AI component usage across your org and easily trace the steps taken to bring a model to production

 

Features and Benefits

Manage Models in the Most Advanced and Secure Model Registry

  • Store, secure and manage ML models, datasets, and
    artifacts in a centralized repository
  • Version ML artifacts for reproducibility and easy rollback
  • Robust access controls for model sharing
  • Scan model artifacts and dependencies for vulnerabilities
    and malicious components
Train, Deploy, and Monitor Any Model

  • Manage every model from research to production
  • Simplify experiment tracking for reproducible results
  • Train and fine tune models with one click
  • Deploy at any scale, from live API endpoints to Kafka
    streams
  • Track model performance, drift, and data changes with
    real-time monitoring and alerts
Transform Your Data Into Useful Features for Your Models

  • Prepare and manage every feature for training and
    inferenceŒ
  • Reuse features across teams with a single source of truth
  • Ingest and process data from any source
  • Build robust feature engineering pipelines
Integrated Across Your Data Sources, Frameworks, and Tools

  • Work with multiple ML frameworks including
    TensorFlow, PyTorch, Scikit-learn, XGBoost
  • Leverage your preferred data sources including
    Snowflake, MySQL, Kafka and moreŒ
  • Fully integrated with Nvidia NIM and Hugging Face

A Better Way to do MLOps

The JFrog Platform is the single source of truth for over 7,000 companies. By building and deploying ML models with the JFrog Platform, teams are able to bring AI development in line with standard business processes and frameworks. This ensures that the final output of AI development is an asset that your DevOps, Security, and Dev teams are going to love.

For more information about how you can gain all the benefits from the leading DevOps, Security, and MLOps Software Development Platform feel free to take an online tour, schedule a one-on-one demo or visit our help center at your convenience.

 

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