Pricing

Scalable Solutions for Your MLOps Success

Starter

Take the first step towards success with our plan designed for emerging teams
Managed SaaS
Billed annually
(or $149 billed monthly)
$99per month
2 users, 2 models, 5 pipelines included free
Social SSO, RBAC, and User Management
Managed ZenML Server with multi-tenant workspaces
CI/CD/CT, Model Control Plane, Data Control Plane and more!

Pro

Scale up with your team as the need for collaboration grows
Managed SaaS
Custom pricing
Everything in Starter, and
Limits decided based on your needs with our experts
Social SSO, RBAC, and User Management
Bring your own secret store
Priority Support

Enterprise

Advanced controls & support to run your entire organization.
Custom deployment scenarios
Custom pricing
Everything in Pro, and
User provisioning (SCIM) and Enterprise SSO
Advanced security & controls, Audit log and custom integrations
Dedicated success manager

Open Source

Prefer a non-managed local deployment? Start for free with our basic version
Enhance your MLOps

Try ZenML Free for 14 Days

Unlock the potential of your machine learning projects with our step-by-step approach. Get started with ease and scale with confidence. Here's how to begin:
Understand and Analyze

Step 1

Create a Trial Account

Embark on a transformative journey with ZenML by starting your free 14-day trial. This is your opportunity to explore what ZenML can do for you and your team.
Interactive ZenML Demo

Step 2

Establish Your Tenant

Create your own secure tenant within ZenML. This dedicated environment ensures the integrity and isolation of your data and models, while enabling your team to collaborate effectively.
Tailored Solutions for You

Step 3

Launch Your First Pipeline

Dive into the core of ZenML by running your first pipeline. It's simple, intuitive, and powerful, carefully designed to streamline your ML operations from day one.
Plan Your Success Path

Step 4

Integrate Your Cloud Stack

Seamlessly connect your cloud services to ZenML. Whether you're using AWS, GCP, or Azure, our platform is built to connect and enhance your existing cloud ecosystem.

Ready to Transform Your MLOps?

Features

Compare and Select the Best Option for Your MLOps

Whether you're a solo innovator, a growing team, or an established enterprise, we have a ZenML plan tailored to your needs.

Features

Starter

Pro

Enterprise

Users (Editors)
2
20
Unlimited
Models
2
20
Unlimited
Pipelines
5
50
Unlimited
Pipeline runs
100
1000
Unlimited
Model & Artifact Versions
Unlimited
Unlimited
Unlimited
Tenants
1
3
Unlimited
Service Accounts
1
10
Unlimited
Secrets
10
100
Unlimited
Model Control Plane Dashboard
Artifact Control Plane Dashboard
Automated Updates, Backups, and Rollbacks
Trigger runs from API / Dashboard
Automated CI/CD with Triggers
Secret Manager Configuration
Advanced Secret Manager Configuration
Deployment Scenario
Managed Cloud
Managed Cloud
Private Cloud / On-prem
Sharing and Collaboration

Starter

Pro

Enterprise

Multi-tenancy with isolated servers
Role Based Access Control
Predifined Roles
Custom Roles
Provision users & groups with SCIM
Support

Starter

Pro

Enterprise

Community Slack
Priority Support + Dedicated Slack Channel
Dedicated Support 24/7

Trusted by 1,000s of members of top companies

Join the ZenML Community and start improving your MLOps

200,000

pipelines run in ZenML

17,500

pipelines run last month

21,000

stacks registered last 12 months

10,000

integrations installed last 12 months

"ZenML offers the capability to build end-to-end ML workflows that seamlessly integrate with various components of the ML stack, such as different providers, data stores, and orchestrators.".

Harold Giménez
Harold Giménez
SVP R&D at HashiCorp

Step Into the Future of MLOps

Start Your Free Trial or Book a Personalized Demo
Support

Frequently asked questions

Everything you need to know about the product.
What is the difference between ZenML and other machine learning orchestrators?
Unlike other machine learning pipeline frameworks, ZenML does not take an opinion on the orchestration layer. You start writing locally, and then deploy your pipeline on an orchestrator defined in your MLOps stack. ZenML supports many orchestrators natively, and can be easily extended to other orchestrators. Read more about why you might want to write your machine learning pipelines in a platform agnostic way here.
Does ZenML integrate with my MLOps stack (cloud, ML libraries, other tools etc.)?
As long as you're working in Python, you can leverage the entire ecosystem. In terms of machine learning infrastructure, ZenML pipelines can already be deployed on Kubernetes, AWS Sagemaker, GCP Vertex AI, KubeflowApache Airflow and many more. Artifact, secrets, and container storage is also supported for all major cloud providers.
Does ZenML help in GenAI / LLMOps use-cases?
Yes! ZenML is fully compatabile, and is intended to be used to productionalize LLM applications. There are examples on the ZenML projects repository that showcases our integrations with Llama Index, OpenAI, and Langchain. Check them out here!
How can I build my MLOps/LLMOps platform using ZenML?
The best way is to start simple. The starter and production guides walk you through how to build a miminal cloud MLOps stack. You can then extend with the other numerous components such as experiment tracker, model deployers, model registries and more!
What is the difference between the open source and cloud product?
ZenML is and always will be open-source at its heart. The core framework is freely available on Github and you can run and manage it in-house without using the cloud product. On the other hand, the cloud product offers one of the best experiences to use ZenML, and includes a managed version of the OSS product, and some features that create the best collaborative experience for many companies that are scaling their ML efforts. You can see a more detailed comparison here.
Still not clear?
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