What is JFrog ML?

JFrog ML brings together the tools, integrations, environments, and out-of-the box approach needed for successful AI/ML development.

Empower your Data Scientists, ML Engineers, and AI Developers to easily and reliably take AI and ML services to production by bringing DevOps best practices to AI/ML.

  • Model training, deployment, and monitoring
  • Fine-tune models or build from scratch
  • LLM applications and prompt engineering
  • Feature lifecycle management

A Unified AI Solution for Every Need

MLOps
LLMOps
Feature Store
MLOps
Train and Deploy Any Model
  • Manage every model from research to production
  • Train and fine tune models with one click
  • Deploy at any scale, from live API endpoints to Kafka streams
  • Real-time monitoring and alerts
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LLMOps
Develop LLM Applications
  • Manage prompts and track versions
  • Deploy JFrog optimized open-source LLMS
  • Create and visualize complex LLM workflows
  • Trace everything in one place for simple debugging
  • Monitor LLMs in production for optimal performance
  • Store and manage embedding vectors at scale
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Feature Store
Transform Your Data
  • Manage every feature for training and inference
  • Ingest and process data from any source
  • Build robust feature engineering pipelines
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Your Entire AI/ML Lifecycle in a
Single Platform

Scale your AI/ML workflows with ease, eliminating the hassle
of managing multiple tools and systems for your AI
deployments.

Empower Developers and Build AI/
ML You Can Trust

Bring AI development into your existing secure SDLC without
hurting productivity. JFrog ML as part of the JFrog Platform
bridges AI/ML and DevSecOps in the most developer friendly
way.

Simplify Feature Engineering and
Data Pipelines

Remove the complexity of scalable feature engineering with
JFrog ML’s built-in Feature Store. Gone are the days where
you need high data loads to constantly update features and
efficiently manage and scale data operations.

Bring Every AI Stakeholder
Together in One Place

A unified solution for DevOps, Security, ML Engineers, Data
Scientists, Product Managers, and AI practitioners to work on
and support every AI project in perfect sync.

Universal Model Deployment

Deploy and fine-tune any model, including embeddings and LLMs
at scale with one click. Serve AI/ML services as API endpoints,
execute batch inference, and perform A/B tests.

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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Ecosystem Freedom,
Not Lock-in
JFrog ML seamlessly integrates with all stages of the model lifecycle, from idea to production.

Get Started with JFrog Today

Access JFrog ML to see how the best ML engineering and data science teams deploy models in production. Say goodbye to complex MLOps and start delivering today.