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D2iQ Kaptain AI/ML 2.0 Offers More Flexibility When Deploying AI/ML Workloads On Kubernetes

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D2iQ has announced version 2.0 of Kaptain AI/ML, the enterprise-ready distribution of open-source Kubeflow that enables organizations to develop, deploy, and run artificial intelligence (AI) and machine learning (ML) workloads in production environments.

Powered by Kubeflow 1.5, the Kubernetes machine learning toolkit, Kaptain AI/ML now provides data science teams with features such as expanded control for mounting data volumes and increased visibility into idle notebooks, so they can spend more time developing and less time managing infrastructure. The enhanced user experience enables data scientists to more effectively manage the lifecycle of AI and ML models without the need for infrastructure knowledge and skill sets.

By simplifying the deployment and full lifecycle management of AI and ML workloads at scale, Kaptain AI/ML 2.0 accelerates the impact of smart cloud-native applications. This enables organizations to drive better business results by more quickly delivering new smart products and services, becoming more agile when updating models, and driving smarter customer experiences.

Through integration with the newly enhanced D2iQ Kubernetes Platform (DKP), Kaptain AI/ML 2.0 can be deployed across multi-cluster environments on any CNCF-certified Kubernetes platform, including Amazon Elastic Kubernetes Service (EKS) and Microsoft Azure Kubernetes Service (AKS). Additionally, Kaptain AI/ML 2.0 offers easier installation via Helm and DKP catalog integration.

Kaptain AI/ML 2.0 is now generally available.

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