June 2025
Intermediate to advanced
338 pages
9h 17m
English
Overview
Kubernetes for Generative AI Solutions is your step-by-step practical guide to successfully managing the deployment of Generative AI workloads on Kubernetes. You'll learn how to optimize resources, ensure security, and manage production-scale systems effectively. With this book, you'll not only understand theory but also gain actionable insights for practical implementation.
What this Book will help me do
- Build and deploy Generative AI workloads on Kubernetes from the ground up.
- Implement robust scaling strategies using HPA and VPA, and optimize GPU utilization.
- Reduce cloud costs and manage budgets effectively using Kubecost and other tools.
- Apply security best practices for GenAI workflows with RBAC, encryption, and secure networks.
- Automate and monitor your AI systems for resilience and performance using Grafana and Prometheus.
Author(s)
Ashok Srirama and Sukirti Gupta bring their combined expertise in Kubernetes, Generative AI, and cloud computing to this book. With years of hands-on experience deploying AI solutions at scale, they offer readers practical advise and real-world examples. Their approachable writing style ensures complex concepts are easily understood.
Who is it for?
This book is intended for professionals such as solutions architects, AI engineers, and DevOps teams, looking to implement and manage Generative AI workloads on Kubernetes. It is also valuable to students and academicians interested in learning about GenAI and Kubernetes from a practical perspective. While some familiarity with cloud computing is helpful, prior Kubernetes knowledge is not required. Beginners and experts alike will find actionable insights in this guide.
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