Whether you opt for the fully-managed ZenML Cloud or prefer a self-hosted solution, there’s a ZenML Cloud configuration that perfectly aligns with your needs.
ZenML is a metadata layer on top of your existing infrastructure, meaning all data and compute stays on your side.
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Frequently asked questions
Everything you need to know about the product.
How can I deploy ZenML? Can I deploy ZenML on-prem/self-hosted?
The core ZenML framework along with basic OSS features are available freely and can be self-hosted in a simple Docker container.
ZenML Cloud is a managed control plane that provisons a OSS ZenML server with extra cloud-only features, built for ML teams working in a professional setting. ZenML Cloud is available as a SaaS platform and can be self-hosted on-prem with the Enterprise plan. Read this for more details.
Is ZenML secure? Where's my data stored?
ZenML uses industry-standard encryption for all data in-transit and at REST. The data is stored on AWS regions in Europe, and a strict backup policy is maintained for all client data. ZenML only stored metadata - and no actual data is kept anywhere on our servers. Data and compute stays on the VPC of the customer.
I am working with sensitive data - Can I use ZenML Cloud?
ZenML Cloud is used by a variety of companies, and we understand that compliance and security requirements varies across industries. When you evaluate ZenML Cloud, we help you decide what sort of deployment pattern suits your use-case. For some, the metadata that travels between the cloud service and their VPC is not sensitive, and a cheaper and quicker option is to sign up for ZenML Cloud Starter or Pro plan, which features a SaaS deployment. Others require a fully airgapped solution with no ingress calls, and for that the Enterprise Plan is more suited.
All limits are counted when a resource becomes "active", i.e., when a resource is in a non-archived state. ZenML Cloud keeps a track of all resources created or updated, and at bills you depending on the total count of active resources at the end of the month. If you have more questions, please contact us to learn more.
What is the difference between ZenML OSS and ZenMLCloud?
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.
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"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.".
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:
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.
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.
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.
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.
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