Kubeflow is an open source MLOps platform designed to enable organizations to scale their ML initiatives and automate their workloads.
Charmed Kubeflow is an official distribution of Kubeflow created by Canonical that goes beyond to provide an enterprise-grade MLOps platform.
Using an official distribution of Kubeflow provides additional functionality to make the platform suitable and easy-to-use at scale and in production.
Charmed Kubeflow provides security maintenance, streamlined operations, tooling integration, hardware validation, hybrid and multi-cloud scenario support, enterprise support, managed services, customer feedback and enhancements and an end-to-end solution for AI infrastructure.
Kubeflow has over 100 container images that come from different sources, which means organizations need to utilize secure tooling to protect their data and artifacts. Charmed Kubeflow provides patching for vulnerabilities from container images.
Kubeflow Pipelines addresses the gap in the market due to the lack of any tooling to automate ML workloads which is introduced by the Kubeflow project.
Charmed Kubeflow benefits from enhancements such as automated profile creation and simpler user management, which are not available yet in the upstream project.
Charmed Kubeflow is amongst one of the few MLOps platforms that are certified for NVIDIA DGX Systems.
Managed services for Charmed Kubeflow, help organizations focus on their ML projects rather than operating the platform.
Canonical’s capabilities go beyond the MLOps platform, providing an end-to-end solution for AI infrastructure.