NVIDIA AI Enterprise
Enterprise AI software suite for accelerating and optimizing production AI development and deployment on NVIDIA infrastructure.
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PRODUCT OVERVIEW
Canonical Charmed Kubeflow is Canonical's distribution of Kubeflow, an end-to-end MLOps platform for Kubernetes. It packages Kubeflow components as Juju charms to simplify deployment and operations of machine learning workflows on Kubernetes. The platform supports building and running ML pipelines, and is documented for installation on Kubernetes. Canonical positions it alongside related data and AI solutions such as MLflow, Kafka, Spark, and databases. It is intended for teams running machine learning infrastructure on Kubernetes who need a supported, charmed deployment path. Access is via the official website and documentation; pricing details are not provided on the supplied page.
Consult the Charmed Kubeflow how-to install guide to understand prerequisites and deployment steps on Kubernetes.
Follow the documented installation procedure to deploy Charmed Kubeflow components on a Kubernetes cluster.
Deploying Kubeflow on Kubernetes with Canonical's charmed distribution
Running end-to-end machine learning workflows on Kubernetes
Operating MLOps infrastructure with documented installation steps
Charmed Kubeflow is Canonical's distribution of Kubeflow, an end-to-end MLOps platform for Kubernetes, packaged as Juju charms.
Installation instructions are provided in the official how-to guide at documentation.ubuntu.com/charmed-kubeflow/how-to/install.
Charmed Kubeflow is Canonical's charmed distribution of the open source Kubeflow project, designed to simplify deployment and operations on Kubernetes.
Yes, Charmed Kubeflow is an MLOps platform for Kubernetes and is documented for deployment on Kubernetes clusters.
Official documentation is available at documentation.ubuntu.com/charmed-kubeflow.
The supplied page does not list pricing for Charmed Kubeflow; contact Canonical for commercial details.
See the official website for current pricing.
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