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Monitor

Want to learn how to monitor your models in production? The DKube platform integrates model monitoring into the overall system with DKube Monitor. It includes everything necessary for engineers and executives to identify how well your models are achieving their business goals - and facilitates a smooth workflow to improve them when necessary.

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Keep Your Models Accurate Through Monitoring

Machine learning has been traditionally focused on the important initial training phase. This ensures that a model will provide the best outcomes for the expected live data stream - at least for a while. However, it is well known within the machine learning community that however good a job you do at training a model, your results will

Blogs
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:

News and Events
DKube & VMware Partnership

DKube and VMWare are currently working closely to bring Kubeflow and MLFlow-based MLOps for enterprise companies needing on-prem and multi-cloud implementations of their AI projects.

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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