We are pleased to announce that DKube and VMware teams are working closely together to bring Kubeflow and MLFlow-based MLOps to clients needing on-prem and multi-cloud implementations of their AI projects.
In addition, the two companies have further enhanced customer experience by adding plug-ins for clients to use their HPC clusters for compute and GPU capacity, as well as for federated learning on Kubeflow (FATE). The solution and use cases will be showcased at VMware Explore 2023 in Las Vegas from August 21-24. Please visit VMware Booth# 305, AI Showcase to learn more about these solutions.
DKube is an MLOps platform from One Convergence Inc. based on the popular Kubeflow architecture of AI model lifecycle management. DKube is further augmented with the best of MLFlow, bringing together powerful components and enhancing them with best-in-class capabilities, such as:
– Model training
– Model tracking and model/data lineage
– MLFlow-based model metric collection and comparison
– CI/CD-based automation, Integration with enterprise authentication
– Kubeflow Pipelines
– Model serving and monitoring
All of this functionality is integrated into a flexible, UI-based workflow that is intuitive enough to allow team members to collaborate on common AI/ML projects within hours of starting the installation. Given the open-source foundations of Kubeflow and MLFlow, customers get best-in-class innovations at a much lower cost than other closed-source MLOps products in the industry.
DKube has been optimized for VMware vSphere and its Kubernetes distribution Tanzu or other distributions like Rancher or Openshift.
Together the two companies have also brought forth federated learning with Kubeflow with VMware’s FATE contribution to Kubeflow which is now integrated into DKube: https://octo.vmware.com/streamlining-federated-learning-workflows-with-mlops-platform/
The two companies are bringing the IT and data science communities together at enterprise clients so that their AI/ML projects can successfully be deployed and maintained in production. As an example, the two companies have partnered to showcase an enterprise-wide deployment of AI/ML services on vSphere for a major client in the financial services industry.
“Many enterprise clients want to bring AI to where their data is. Data security is paramount today, and we understand this priority. DKube is a unique MLOps solution that can operate on-premises, via any cloud, or across multi-clouds. DKube brings your favorite open-source AI tool sets to where your data is. With DKube customers have a choice to be independent from a specific cloud.” said Prasad Vellanki, CEO of One Convergence Inc.
“We have been collaborating with the DKube team for over a year to make Kubeflow enterprise-grade with Tanzu while augmenting it with federated learning (Kubeflow FATE) or integrating with HPC clusters,” said Alan Ren, senior director, Engineering and Ecosystems, VMware AI Labs.
DKube is owned by One Convergence Inc. based in San Jose, CA, USA. For further information please visit www.dkube.io or email email@example.com.
DKube.io is a leading infrastructure solution provider dedicated to helping drive the growth of small and mid-enterprise companies using AI/ML technologies. While DKube is designed for MLOps teams looking for greater workflow efficiency, DKubeX is designed for Small and Mid-enterprise companies looking to build Enterprise LLM Applications.
Name: Ajay Tyagi
Disclaimer: VMware, Explore, Tanzu, and vSphere are registered trademarks or trademarks of VMware, Inc. and its subsidiaries in the United States and other jurisdictions.