DKube

DKube offers a Kubeflow-based MLOps platform for developing, tuning, deploying, and monitoring AI/ML models. In practice that means building, training and deploying machine learning models.

It makes the most sense for data science teams. They also list Artificial Intelligence (AI) and Machine Learning, so expect those to show up in the feature set. As a mid-sized product team themselves (51 to 200 people), they tend to serve customers of a similar scale best.

DKube is based in San Jose, California and around since 2008. More on dkube.io.

Our checklist for this category: compute pricing, MLOps features, and framework support. Ask for a trial on your own data, not a canned demo.

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