KubeFlow

August 4, 2020

CLOUD

Machine Learning On-Premises Isn’t That Hard After All

Delivering on-premise ML capabilities, with potential hybrid configurations giving data scientists the best of both worlds.

March 26, 2020

DATA CENTER

Cisco Announces Kubeflow Starter Pack

Do you know that Kubeflow 1.0 has just been recently released by the Kubeflow Community?  Kubeflow is the open source project integrating TensorFlow, PyTorch and other machine learning capabilities into a cohesive tool, from data ingestion, through machine learning, and even inferencing. 

March 2, 2020

CLOUD

#consistentAI: Lessons from our Journey to Kubeflow 1.0

Kubeflow 1.0 is ready. Through perseverance and hard work of some talented individuals and close collaboration across several organizations, together we have achieved a pivotal milestone for the community. In this article we would like to take a step back, celebrate the success, and discuss some of the steps we need to take the project to the next level.

January 24, 2020

CLOUD

How to optimize your K8s infrastructure for AI/ML development with a few clicks!

Kubernetes has been a catalyst in building AI/ML capabilities, however DIY setting up and maintaining such as stack can be complex. As more and more Cisco Container Platform, customers are interested in machine learning, we are continuously evolving the support to enable them in their journey.

April 10, 2019

CLOUD

Consistent AI: The Journey Together

The Kubeflow project has made a tremendous progress, and it is awesome to be recognized as Google Cloud Technology Partner of the Year in the Container category for a second year.

December 10, 2018

CLOUD

Benchmarking ML Workloads

The field of machine learning is progressing at a break-neck speed. New algorithms and techniques are being published at such a high frequency that it is impractical to keep pace.

April 29, 2018

CLOUD

Towards #ConsistentAI

Data is already a first-class citizen in many enterprises. Today, data is used to derive insights, influence decisions, automate and optimize operational efficiency.