
Developing gRPC Communication with Quarkus and Microprofile
In this session, we will explore developing APIs for hexagonal and microservices architectures using gRPC’s capabilities for faster communication.
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.
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.
Learn why graphics processing units (GPUs) have become the foundation of artificial intelligence and how they are being used.
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.
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.
Streaming data is key to many modern applications. This tutorial walks you through setting up a data stream using Amazon Kinesis and Node.js.
Don't miss a thing! Here's a roundup of new articles, tutorials, and more published this month on Red Hat Developer.
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.
Discover how to resolve Python dependencies by extracting metadata and dependency information, and how Project Thoth helps to streamline the process.
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
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.
Get hands-on resources for building machine learning models using Red Hat OpenShift Data Science. Learn how to use NLP, Jupyter notebooks, and more.