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Everything you need to deliver AI at speed

AI teams enjoy accelerated model deployment to production, scalability, and efficiency in every AI workflow when they use JFrog ML.

Built on 3 pillars - MLOps, LLMOps, & Feature Store, JFrog ML provides:

Managed infrastructure

Ability to manage the entire feature lifecycle

Zero friction, zero integration effort

Pay-as-you-go pricing

See why hundreds of AI teams trust JFrog ML with their AI pipelines

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Unify your feature store and AI platform into one.

Explore JFrog ML

MLOps
Train and Deploy Any Model
Train and Deploy Any Model
LLMOps
Develop LLM Applications
Develop LLM Applications
Feature Store
Transform Your Data
Transform Your Data

Join us for a live demo of the Qwak platform.

Let us handle the infrastructure so you can concentrate on creating value from your AI. Qwak accelerates model deployment to production. Built on three core pillars - MLOps, LLMOps, and a managed Feature Store, Qwak ensures AI teams get the maximum efficiency in every AI workflow.

MLOps

LLMOps

Feature Store

Learn more about Qwak

Qwak MLOps PlatformQwak LLMOps PlatformQwak Feature Store
“JFrog ML streamlines AI development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”
Edward Zhou
,
Software Engineer
See why hundreds of AI teams trust            with their AI pipelines.

We help customers optimize AI & ML models in production

“JFrog ML streamlines AI development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”
Notion
“We ditched our in-house platform for JFrog ML. I wish we had found them sooner.”
Upside
“The JFrog ML platform enabled us to deploy a complex recommendations solution within a remarkably short timeframe. JFrog ML is an exceptionally responsive partner, continually refining their solution.”
Lightricks
“People ask me how I managed to deploy so many models while onboarding a new team within a year. My answer is: JFrog ML.”
OpenWeb
“With JFrog ML, our AI team efficiently manages and deploys various models, both batch and real-time. The addition of an observability and Vector DB layer has been a game-changer, allowing us to confidently bring 10 models into production. JFrog ML's robust and streamlined approach has significantly enhanced our operational efficiency.”
Happening (Superbet)
“Before JFrog ML, delivering a new AI model took weeks... Now the research team can work independently and deliver while keeping the engineering and product teams happy.”
Spot by NetApp
“Using JFrog ML allowed us to focus on creating value for customers rather than spending valuable time on our infrastructure setup.”
JLL
“Our data science teams deliver end-to-end AI model services. Building infrastructure, however, is not our business focus, making JFrog ML ideal for our needs.”
Yotpo
“With JFrog ML's intuitive AI Infra platform and AWS, we achieve operational efficiency and smarter personalized experiences. We get to make data-driven decisions impacting the customers and driving the company metrics.”
Lili
“With JFrog ML we were able to improve our AI delivery dramatically.”
Guesty
“From the get go, it was clear that JFrog ML understood our needs and requirements. The simplicity of the implementation was impressive.”
Lightricks
“We had the data and we solved the problem. JFrog ML allowed our data science teams to deliver the models into production with ease and efficiency.”
Salt
“JFrog ML helped us make a paradigm shift to our data science operations. We now deliver new models quickly and efficiently and with much less friction along the process.”
Spot by NetApp
See how our customers win with JFrog ML
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