AI/ML

In this session, we will explore developing APIs for hexagonal and microservices architectures using gRPC’s capabilities for faster communication.

Learn how to use the Red Hat OpenShift Data Science platform and Starburst to develop a fraud detection workflow with an AI/ML use case.

Challenges for handling large scale AI in a distributed environment

Avishay Sebban

April 27, 2023

In this session, Avishay Sebban will give an overview of the challenges of running distributed workloads for machine learning.

Jfokus will be held at Waterfront Congress Center in Stockholm, Sweden 6-8 February 2023. Monday 6 February is University Day with Deep dive half day talks and Hands-on labs in smaller groups. Tuesday 7 and Wednesday 8 February are Conference Days, with 6 parallels tracks, with focus on on Java, the JVM platform and open source technologies but also AI, Machine Learning, Big Data, Cloud, Web/HTML5, mobile platforms, Agile, NoSQL, DevOps and languages such as JavaScript, Scala, Kotlin and many more.

Why GPUs are essential for AI and high-performance computing

Audrey Reznik + 3

November 21, 2022

Learn why graphics processing units (GPUs) have become the foundation of artificial intelligence and how they are being used.

Perform inference using Intel OpenVINO Model Server on OpenShift

Audrey Reznik + 1

September 30, 2022

In this article, you will learn how to perform inference on JPEG images using the gRPC API in OpenVINO Model Server in OpenShift. Model servers play an important role in smoothly bringing models from development to production. Models are served via network endpoints which expose an APIs to run predictions.

Intel AI tools save cloud costs, date scientists' time, and time spent developing models. Learn how the AI Kit can help you.

OpenVINO helps you tackle speech-to-text conversion, a common AI use case. Learn more.

You can perform edge detection on images using this Jupyter notebook on any Kubernetes cluster. Learn how.

Create an open source machine learning environment quickly with Pachyderm, JupyterHub, and Ceph Nano on Open Data Hub.

CodeReady Containers lets you easily deploy a virtual cluster environment on your local system, with open source AI tools from Open Data Hub.

Learn how to build, train, and run a PyTorch model

Audrey Reznik

March 23, 2022

Once you have data, how do you start building a PyTorch model? This learning path shows you how to create a PyTorch model with OpenShift Data Science.

How to create a data stream with Amazon Kinesis

Bob Reselman

February 9, 2022

Streaming data is key to many modern applications. This tutorial walks you through setting up a data stream using Amazon Kinesis and Node.js.

Red Hat Developer roundup: Best of January 2022

Red Hat Developer Editorial Team

January 26, 2022

Don't miss a thing! Here's a roundup of new articles, tutorials, and more published this month on Red Hat Developer.

How to self-host a Python package index using Pulp

Fridolin Pokorny + 3

January 17, 2022

Learn how to set up a Pulp Python repository and publish and consume Python packages using Pulp on the Red Hat Developer Operate First cloud.

Extracting dependencies from Python packages

Fridolin Pokorny

January 14, 2022

Discover how to resolve Python dependencies by extracting metadata and dependency information, and how Project Thoth helps to streamline the process.

More machine learning with OpenShift Data Science

Audrey Reznik

December 23, 2021

Solve the typical data science problems of accessing Amazon S3 data and creating a TensorFlow model by following two new OpenShift Data Science learning paths.

DevNation Winter Camp

Build and extend containerized applications with Project Thoth

Fridolin Pokorny + 2

November 25, 2021

Learn how to better build and extend containerized apps by using Project Thoth to control container image quality and provide more robust runtime environments.

Watch this demo by Red Hat Principal Software Engineer Chris Chase on how to build and deploy an object detection model within an intelligent application.

Pull data without duplicating it into a Jupyter notebook using Starburst Galaxy, a fully managed data platform built on Red Hat OpenShift Data Science.

Building machine learning models in the cloud

Audrey Reznik

November 16, 2021

Get hands-on resources for building machine learning models using Red Hat OpenShift Data Science. Learn how to use NLP, Jupyter notebooks, and more.