Resources

Create an Enterprise-Ready MLOps Platform Using Kubeflow
Machine Learning offers the promise of revolutionizing

MLOps on HPC/Slurm with Kubeflow
Over the last decade enterprises have made heavy investments in High Performance Computing (HPC) to solve complex scientific problems.

Kubeflow for Machine Learning, From Lab to Production
Kubeflow is rapidly becoming the most widely used open source reference architecture for teams wanting

DKube™ Offers Integrated, Kubeflow-Based Reproducibility
Reproducibility is the foundational principle of the scientific method. If an experiment cannot be repeated, it is assumed

DKube™ Kubeflow Implementation On-Prem or AWS/GCP/Azure
Deploying Kubeflow on AWS, GCP, Azure of on-prem: It is a lot more than just downloading and installing open source

Installing DKube, a Kubeflow-based MLOps platform on EKS
DKube is a portable, end-to-end, Kubeflow-based MLOps platform that enables data scientists to develop, tune, and deploy complex models.

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

On-Premises Data Science — Challenges and Opportunity
Democratization of AI is a popular topic these days, and rightly so. It is necessary for mass adoption and enablement in many industries

Industrialization of AI
What It can Learn from the Industrialization of Supermarkets.Relying on Github or similar methods for code and data repos alone with Tensorflow, PyTorch or similar frameworks is not sufficient to scale AI projects

Deep Learning MLOps with Prasad Vellanki, CEO of One Convergence
One Convergence CEO Prasad Vellanki sat down to discuss the obstacles and promise of Deep Learning at the TF World 2019 show.