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How to deploy Kubeflow on Azure
- Kubeflow is a cloud-native, open source MLOps platform for developing and deploying ML models on Kubernetes.
- Charmed Kubeflow by Canonical offers benefits like security maintenance, enterprise support, and integration with other tools.
- It explains deployment environments for Charmed Kubeflow, providing an overview for deploying on Azure.
- Kubeflow, the upstream project, is fully open source and maintained by CNCF, but may pose challenges in deployment, maintenance, and security.
- Charmed Kubeflow offers a secure path from experimentation to production, supporting organizations in various ways.
- It can be deployed on any CNCF-conformant Kubernetes, including major public clouds like Azure, AWS, and Google.
- Running Charmed Kubeflow on Azure can benefit from readily available computing power, GPUs, and ease of experimentation.
- Considerations for deploying on Azure include existing infrastructure, open source usage, expertise, and long-term strategy.
- Various deployment options on Azure include Azure VMs, AKS, and a quick deployment through Azure Marketplace.
- The private preview of Charmed Kubeflow on Azure aims to simplify the deployment process for organizations.
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