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Kubeflow on a Mac

ML toolkit & pipelines on Kubernetes · ML Workbench

Kubeflow runs the ML lifecycle on Kubernetes — Pipelines, Notebooks, Katib (hyperparameter tuning), training operators and KServe model serving. Deploy to a cluster (manifests or a distribution); the central dashboard runs behind an ingress. For distributed training and serving at scale.

Run Kubeflow with FrontierStack

FrontierStack lists Kubeflow in its ML Workbench catalog. Install or connect it from one place, then monitor its status, ports and certificate, secure it with the firewall and Malware Audit, and back it up.

Run it all from one Mac app.

FrontierStack installs, monitors and secures the whole stack — locally and across your fleet — from a single native macOS app.

Download FrontierStack

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