deployKF Enterprise goes beyond Kubeflow with more tools, features, and support
Express your interest, share feedback, and unlock a permanent discount. (subject to terms)
Start for free with the open-source project and deploy Kubeflow and KServe.
More Tools
Run more AI/ML tools on your Kubernetes.(some planned for future versions)
Exclusive Tool Features
Get exclusive enhancements to popular tools.(some planned for future versions)Airflow
| Advanced Worker Autoscaling
Scale groups of Airflow workers to meet demand. Only consume GPU and server resources when required.
Run fewer workers without disrupting critical or long-running jobs. Define custom rules for your specific workload requirements.
KServe
| Isolated Model Deployment
Reduce network congestion and improve security with isolated KServe model deployments.
Create isolated network paths (Istio Gateways) for model serving, or deploy to a separate Kubernetes cluster for even more isolation.
Notebooks
| Real-Time Collaboration
Real-time collaboration (similar to Google Docs) for JupyterLab.
Allow multiple people to work on the same notebook environment without interrupting each other.
Notebooks
| SSH Access
Off-cluster SSH access into Notebook Pods.
Use remote execution features to run native IDEs like PyCharm and VS Code from your laptop.
Notebooks
| Instant Snapshots
Create new notebook images without Docker.
Make changes to a running notebook (add code or install packages) then use the snapshot button to make a new image.
Platform Extensions
Extend the deployKF platform with new features.(some planned for future versions)Admin Hub
The Admin Hub helps configure, integrate, and troubleshoot your deployKF platform. It is a self-hosted web interface that runs alongside deployKF.
For example, to integrate deployKF with a database, it can walk you through the required configs and test that you have set them correctly.
User and Group Syncing
Automatically define users, groups, and profiles by syncing them from an external identity provider.
For example, rather than manually defining all users, groups, and profiles in the deployKF values, they can be automatically pulled from systems like Active Directory (LDAP) and Okta.
Reference Patterns
Documentation and reference implementations for common AI/ML use-cases.
For example, how to use MLflow (Model Registry) to track training runs and manage model deployments using GitOps.
Multi-Cluster Dashboard
Use a single deployKF dashboard across multiple Kubernetes clusters.
For example, a dashboard on one cluster can provide access to Airflow instances that run on a separate cluster from the dashboard.
Custom Branding
Easily add your branding to deployKF, with custom logos and colors.
Offline Deployment
Run deployKF in offline/air-gapped environments with fewer steps and complexity.
Pulumi Support
An official Pulumi provider to manage deployKF.
Terraform Support
An official Terraform provider to manage deployKF.
Next Steps
deployKF Enterprise will be available worldwide, starting in the United States and other western countries.
Please join the waitlist to express your interest and unlock a permanent discount. (subject to terms)
Is this a managed service?
deployKF Enterprise runs on your Kubernetes cluster, so it's not a managed service in the traditional sense.
This approach gives you full control and flexibility to run anywhere in the cloud or locally.
How much does this cost?
We aren't quite ready to publish pricing information, please contact us after joining the waitlist for more information.
Can I migrate from deployKF?
Migrating from deployKF to deployKF Enterprise is very easy. In most cases, you can migrate in-place with minimal downtime.
Do you offer guided setup?
Our experts can support your team to start using deployKF Enterprise with guided setup and training programs.
When required, we can provide ongoing support from our professional services team.pricing will vary