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DKubeX Showcases Private AI Innovation For Enterprises At Nutanix .NEXT

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News and Events
Kubeflow based MLOps platform comes to Nutanix On-Prem and Hybrid Cloud with DKube™, from One Convergence™ Inc.

The next generation of enterprise applications will increasingly be AI/ML models applied to accelerate existing processes or solve new problems such as accelerating drug discovery and development in life sciences. Kubeflow is an open source reference architecture for AI/ML platform initiated by Google and contributed by several IT platform infrastructure leaders in the industry such as IBM, Redhat, Cisco, Dell, AWS for on-prem and hybrid deployment of AI/ML.

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DKube™ : Kubeflow Implementation On-Prem or AWS,GCP,Azure

Over the past two plus years Kubeflow has come together a long way in bringing together many open source innovations to implement a cost effective AI/ML platform. These include KF Pipelines, KF Serving, AutoML, Istio from Kubernetes in addition to framework operators like Tensorflow, PyTorch, XGBoost, SciKit. However, “implementing” Kubeflow with your preferred cloud or on-prem environment still requires significant work still, with few people, for many months. The work comes in terms of:

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Pipelines

How to set-up and execute Kubeflow pipelines through DKube's JuypterLab notebook and how to manage or automate the pipeline runs through the UI. This is one of the hottest features of Kubeflow allowing you to set-up a multi-stage pipeline of data prep, feature engineering, training, and production deployment based on time triggers or other event triggers.

The time to put your AI model to work is now

There's a faster way to go from research to application. Find out how an MLOps workflow can benefit your teams.

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