OpenShift blog

    All categories / Artificial Intelligence And Machine Learning

    June 1, 2021

    Learn to Operationalize AI/ML at ODSC Next Week

      Artificial Intelligence has come a long way since the dawn of computing. AI/ML conferences haven't yet reached the point where human participation is unnecessary, however. Open Data Science ...

    Alex Handy

    May 25, 2021

    Operationalizing Kubeflow in OpenShift

    Kubeflow is an AI/ML platform that brings together several tools covering the main AI/ML use cases: data exploration, data pipelines, model training, and model serving. Kubeflow allows data ...

    Raffaele Spazzoli

    April 19, 2021

    How to Orchestrate Data Pipelines with Applications Deployed on OpenShift

    This is a guest post by Nils Buer, Director of Product Management at Stonebranch. Managing Kubernetes can be complex, which is why many organizations turn to Red Hat OpenShift to run their most ...

    Alex Handy

    March 25, 2021

    AI and ML Users Survey Results Now Available

    Enterprises are using artificial intelligence (AI) and machine learning (ML) to generate significant business benefits. Most technology leaders are using open source tools and hybrid cloud based ...

    Alex Handy

    March 23, 2021

    Using the NVIDIA GPU Operator to Run Distributed TensorFlow 2.4 GPU Benchmarks in OpenShift 4

    Motivation In certain cases, OpenShift 4.x users may want to run large, distributed workloads in the latest version of OpenShift 4.x, especially if their cluster’s bare metal machines’ hardware is ...

    Courtney Pacheco

    February 25, 2021

    Business Centric AI/ML With Kubernetes - Part 4: ML/OPs

    Introduction DevOps practices over the past few years have brought incredible advances to organizations’ ability to speed up and secure application delivery. It’s now possible to release application ...

    Tom Corcoran

    February 18, 2021

    Business Centric AI/ML With Kubernetes - Part 3: GPU Acceleration

      Introduction Artificial Intelligence and Machine Learning (AI/ML) have existed in various forms for over six decades. Yet AI/ML have historically failed to live up to the hype that has surrounded ...

    Tom Corcoran

    February 11, 2021

    Business Centric AI/ML With Kubernetes - Part 2: Data Preparation

    Introduction You may have heard the phrase Data is the new Oil. Such is the value being attributed to data particularly with the emergence of Artificial Intelligence and Machine Learning (AI/ML). In ...

    Tom Corcoran

    February 8, 2021

    OpenShift Commons Gathering on Data Science Summary

    It's A Wrap! The OpenShift Commons Gathering on Data Science took place virtually on January 28th, 2021 with participation from the OpenDataHub.io, MLCommons.org and OpenShift Commons communities. ...

    Diane Mueller

    December 15, 2020

    Serving Machine Learning Models on OpenShift: Part 1

    As Artificial Intelligence (AI) and Machine Learning (ML) applications have become more popular today, the ability to serve and optimize a machine learning model becomes more necessary, especially on ...

    Brian Nguyen

    December 2, 2020

    See Red Hat Speak at the Virtual AI Summit New York

    Next week, on December 9, Red Hat will be presenting two different talks about the usage of Red Hat OpenShift to run AI/ML workloads. From 12:30 to 1 ET, December 9, Abhinav Joshi, Red Hat's Director ...

    Alex Handy

    December 2, 2020

    Configure Code Ready Workspace for Developing Machine Learning Workflow

    Introduction When developing machine learning workflow in the local environment such as laptop and desktop, the Machine Learning (ML) practitioners are free to test and install any tools they would ...

    Brian Nguyen