Deliver Trusted AI
Applications at Speed
Go from idea to production with the all-in-one solution to
build, deploy, manage and monitor all your AI workflows, from
GenAI and LLMs to classic ML.
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]
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
Discover, Govern & Secure Your AI
- Consolidate all AI models in one unified hub
- Enable quick deployments with a seamless integration
- Build trust with centralized control, security, and regulatory compliance
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, Google Cloud, and Microsoft Azure, allowing you to deploy either on our platform or your own infrastructure for a streamlined flow.
Master the Latest in MLOps
Get instant access to expert-led sessions on our newest MLOps features and workflows.
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