Overview
Overview
Canonical Managed Kubeflow delivers major gains in efficiency, flexibility and agility for enterprises requiring tailored, optimised service delivery at scale.
Our integrated solution is based on Charmed Kubeflow, Canonical’s advanced solution for MLOps. Managed Kubeflow offloads service delivery and enables your teams to focus on efficiently delivering business value.
With Charmed Kubeflow, data labs and MLOps teams need only train their data scientists and data engineers once to work efficiently. Charmed Kubeflow offers a centralized, browser-based data lab MLOps platform, improving governance and enhancing productivity.
Kubeflow is an open source MLOps platform for efficient AI and ML from research through development to production. Based on fully supported, best-of-breed open source technologies including Kubeflow, MLFlow and Tensorflow, Charmed Kubeflow enables secure, repeatable and efficient implementation of AI/ML applications from conception to production. Fully extensible Python and R support futureproof your investment.
Highlights
- Canonical Managed Kubeflow streamlines the otherwise burdensome and time-consuming operational service delivery of a data lab MLOps platform by offloading design, implementation and management of your MLOps service environment.
- Delivered as an end-to-end service, Managed Kubeflow offers a cost-effective, compliant and low-friction solution. Rely on Canonical’s comprehensive open source software delivery experience and expertise whilst retaining oversight.
- Managed Kubeflow is delivered as a fully managed service tailored to your specific needs and requirements. The entire solution is backed by a 99.9% uptime SLA.
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