Blogs

Deep Learning MLOps with Prasad Vellanki, CEO of One Convergence

Deep Learning MLOps

One Convergence CEO Prasad Vellanki sat down to discuss the obstacles and promise of Deep Learning at the TF World 2019 show. Prasad offers a compelling vision of where the industry is headed, and explains how the company’s DKube product offers a powerful, flexible, and affordable Deep Learning solution for on-prem, cloud, and hybrid platforms.

‍

Written by
Team DKube
more resources

Similar Blogs

View all resources
Blogs
The Private AI Dilemma

Your data and LLM models reside in private cloud but GPU resources are spread across clouds.

Videos
IDE

How to set-up a Jupyter Notebook or R-Studio IDE to import or write your program code including Kubeflow pipeline DSL. Learn about the supported ML frameworks or custom image import into your notebook.

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:

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.

Schedule a Demo
info@dkube.io
+(1) 408 430 2503
99 Almaden Blvd #603
San Jose, CA, 95113