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.
Scale-Out: The Right Way to Deploy On-Premises Deep Learning
Cloud-based computing has changed the face of IT for the better. It has enabled organizations to make use of high-performance resources without requiring large IT groups.