November 20, 2020 @ KubeCon + CloudNativeCon North America Boston 2020 A hands-on lab-based tutorial to show Data Scientists and ML Engineers alike how to turbocharge your Kubeflow efforts. In this session, you will learn how to quickly build, tune, and execute...
November 18, 2020 @ KubeCon + CloudNativeCon North America Boston 2020 Machine learning continues its spread across the tech world and is now in use by more than 80% of enterprises world wide. However, with the increased reliance on this technology, the spectre of...
November 18, 2020 @ KubeCon + CloudNativeCon North America Boston 2020 In this session, Shell describes the lessons learned from: Working with multiple Machine Learning platforms and toolsThe challenges of different systems, why we chose KubeflowHow we are now...
August 20, 2020 @ KubeCon + CloudNativeCon Europe Amsterdam 2020 This session will provide a Kubeflow 1.0 Update by a Kubeflow Community Product Manager. The presentation will include a review of the Kubeflow Community and feature development process, the Kubeflow...
August 18, 2020 @ KubeCon + CloudNativeCon Europe Amsterdam 2020 Kubeflow is an open source machine learning platform built on Kubernetes. Every service in Kubeflow is implemented either as a Custom Resource Definition (CRD) (e.g., TensorFlow Job) or as a...
August 17, 2020 @ KubeCon + CloudNativeCon Europe Amsterdam 2020 An introduction to Kubeflow, the ML toolkit for K8s and the workflows you can use as a data scientist to scale up your ML code effortlessly. Ever thought how hard it is to convert your Jupyter Notebooks...
February 27, 2020 | CNCF Webinar Series Kubeflow is the de facto standard for running Machine Learning workflows on Kubernetes. Jupyter Notebook is a very popular tool that data scientists use every day to write their ML code, experiment, and visualize the results....
November 21, 2019 @ KubeCon + CloudNativeCon North America 2019 The tutorial will focus on two essential aspects: 1. Low barrier to entry: deploy a Jupyter Notebook to Kubeflow Pipelines on the cloud using a fully GUI-based approach. This workflow enables data...
November 20, 2019 @ KubeCon + CloudNativeCon North America 2019 This presentation will explore the journeys of two ML architects from JPMorgan Chase and US Bank, who have deployed Kubeflow into their on-premise environments. These subject matter experts will review...
November 19, 2019 @ KubeCon + CloudNativeCon North America 2019 Kubeflow is an open source machine learning platform built on Kubernetes. Every service in Kubeflow is implemented either as a Custom Resource Definition (CRD) (e.g., TensorFlow Job) or as a standalone...
November 6, 2019 @ Scylla Summit 2019 How can Kubernetes be best used to automate the deployment, scaling, and various operations of a Scylla database?Enter Kubernetes Operators, the way to combine domain-specific knowledge about Scylla with the automation framework...
October 1, 2019 | CNCF Webinar Series Kubeflow is an end-to-end platform for Machine Learning on Kubernetes, with the goal of making deployments of machine learning workflows simple, portable and scalable. It is gaining significant traction among data scientists and...
June 21, 2019 The Taxi Cab (or Chicago Taxi) example is a very popular data science example that predicts trips that result in tips greater than 20% of the fare. This example is already ported to run as a Kubeflow Pipeline on GCP, and included in the corresponding KFP...
June 14, 2019 In this webinar we will introduce you to MiniKF, the fastest and easiest way to get started with Kubeflow. We will install MiniKF from scratch on a laptop, and show you around the various Kubeflow components and Rok, Arrikto's data management product....
January 15th, 2019 | CNCF Webinar Series In this webinar, we’re going to demonstrate a multi-cloud ML workflow with advanced data management on Kubeflow. We will showcase how a Data Scientist can set up their own ML development environment in minutes, start working...
June 20, 2018 @ DevOps Exchange San Francisco In this meetup, Arrikto CTO Vangelis Koukis talks about self-service, decentralized storage for multi-cloud K8s. He describes the current K8s APIs and storage options for backing stateful applications....