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MLOps with Red Hat OpenShift

You're reading from  MLOps with Red Hat OpenShift

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781805120230
Pages 238 pages
Edition 1st Edition
Languages
Authors (2):
Ross Brigoli Ross Brigoli
Profile icon Ross Brigoli
Faisal Masood Faisal Masood
Profile icon Faisal Masood
View More author details

Table of Contents (13) Chapters

Preface Part 1: Introduction
Chapter 1: Introduction to MLOps and OpenShift Part 2: Provisioning and Configuration
Chapter 2: Provisioning an MLOps Platform in the Cloud Chapter 3: Building Machine Learning Models with OpenShift Part 3: Operating ML Workloads
Chapter 4: Managing a Model Training Workflow Chapter 5: Deploying ML Models as a Service Chapter 6: Operating ML Workloads Chapter 7: Building a Face Detector Using the Red Hat ML Platform Index Other Books You May Enjoy

The advantages of the cloud

Cloud computing provides on-demand delivery of IT resources such as servers, networks, storage, databases, and all higher-level application services via the internet with a pay-as-you-go pricing model. The prominent vendors for the cloud are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, and they all provide usage-based pricing.

The cloud has many benefits, but the top three are agility, innovation, and cost savings. Let’s take a brief look at all three.

Agility ensures that the teams can experiment with new ideas quickly and frequently. That’s because the speed your team can deliver software is higher when the team doesn’t wait for IT to provision infrastructure. This makes the foundation of autonomous product teams, where they can release products, collect feedback, and improve the software to meet your customers’ needs.

Agility powers your team to focus on business competence instead of using the time...

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