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Get Started with JFrog ML

The secret to your AI/ML success

Reaching your ROI is no longer a challenge when you use JFrog ML for all your AI Infra and MLOps needs. Pay only for what you use with our affordable plans.

Free

$0

Best suited for dev environments

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Up to 100 QPU/month for a year

Unlimited model versions on JFrog ML model registry

Train and deploy on scalable resources

Transform, store and manage features in the Feature store

Automatic inference and training pipelines

Monitor models and features

Model A/B testing and traffic splitting

Up to 1GB in-memory and 10GB storage

Chat support

Pay As You Go

$1.2/QPU

Best suited for productions environments

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Everything in Free, plus:

Unlimited QPU

Multiple environments

<2 hours SLA for critical cases

99.8% uptime guarantee

Multi A-Z installation (DR)

Enterprise

Custom

Best suited for enterprise environments

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Everything in Pay As You Go, plus:

Volume discounts for pre-commitments

Self hosted hybrid deployments

SSO login

RBAC support

Dedicated support channel

<1 hour SLA for critical cases

<2 hours for important cases

Dedicated JFrog ML architect hours/month

2 annual on-site workshops

99.9% uptime guarantee

Private VPC installation

Storage

The JFrog ML platform contains two types of storage. Super fast in memory storage which is primarily used for online feature store, and warehouse storage, used for offline feature stores, model analytics, and monitoring.

in memory storage
In memory
$72
per GB / month
Qwak storage
Storage
$60
per TB / month

Chosen by the world's best ML team

Happening (Superbet)
Cirkul
Cloudtrucks
Salt
Guesty
Notion
Upside
JLL
OpenWeb
Lightricks
Lili
Spot by NetApp
Hello Heart
Windward
Cyera
Spot
Nayya
Happening (Superbet)
Cirkul
Cloudtrucks
Salt
Guesty
Notion
Upside
JLL
OpenWeb
Lightricks
Lili
Spot by NetApp
Hello Heart
Windward
Cyera
Spot
Nayya

FAQs

Is JFrog ML the right AI platform for me?

The platform is made for data scientists and AI practitioners who are looking to eliminate dependency on engineering resources and ML engineers who need someone else to take care of the heavy lifting so they can focus on their business’ needs.

How is pricing calculated?

We're a usage-based platform measured in QPUs, an internal processing unit we use at JFrog ML. We charge for build and deployment time, along with the resources you choose to use.

What is a QPU?

QPU, or JFrog ML Processing Unit, is our internal processing unit. To see how QPU’s are calculated, please see our documentation.

What types of models do you support?

All Python based models are supported.

What types of data sources do you support?

We support all common data sources, such as Snowflake, Kafka, BigQuery, RedShift, SQL, etc. We do not support data sources that are on-premise. See our documentation for the full list of supported data sources.

How does JFrog ML protect my data?

JFrog ML takes the confidentiality and integrity of its customer data very seriously and strives to ensure that data is protected from unauthorized access and is available when needed. Additionally, our assumption is that all data added into the platform by our customers is potentially PII / sensitive data, and is therefore treated as such.

Chat with us to see the platform live and discover how we can help simplify your AI/ML journey.

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