Kubernetes for Generative AI Solutions: A complete guide to designing, optimizing, and deploying Generative...

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Ashok Srirama Sukirti Gupta

Kubernetes for Generative AI Solutions

A complete guide to designing, optimizing, and deploying Generative AI workloads on Kubernetes...

Ashok Srirama, Sukirti Gupta, Rajdeep Saha

$112.95 $90.51

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English

Packt Publishing Limited
06 June 2025

Computer networking & communications; Distributed systems; Artificial intelligence

Master the complete Generative AI project lifecycle on Kubernetes (K8s) from design and optimization to deployment using best practices, cost-effective strategies, and real-world examples.

Key Features

Build and deploy your first Generative AI workload on Kubernetes with confidence Learn to optimize costly resources such as GPUs using fractional allocation, Spot Instances, and automation Gain hands-on insights into observability, infrastructure automation, and scaling Generative AI workloads Purchase of the print or Kindle book includes a free PDF eBook

Book DescriptionGenerative AI (GenAI) is revolutionizing industries, from chatbots to recommendation engines to content creation, but deploying these systems at scale poses significant challenges in infrastructure, scalability, security, and cost management. This book is your practical guide to designing, optimizing, and deploying GenAI workloads with Kubernetes (K8s) the leading container orchestration platform trusted by AI pioneers. Whether you're working with large language models, transformer systems, or other GenAI applications, this book helps you confidently take projects from concept to production. You’ll get to grips with foundational concepts in machine learning and GenAI, understanding how to align projects with business goals and KPIs. From there, you'll set up Kubernetes clusters in the cloud, deploy your first workload, and build a solid infrastructure. But your learning doesn't stop at deployment. The chapters highlight essential strategies for scaling GenAI workloads in production, covering model optimization, workflow automation, scaling, GPU efficiency, observability, security, and resilience. By the end of this book, you’ll be fully equipped to confidently design and deploy scalable, secure, resilient, and cost-effective GenAI solutions on Kubernetes.

What you will learn

Explore GenAI deployment stack, agents, RAG, and model fine-tuning Implement HPA, VPA, and Karpenter for efficient autoscaling Optimize GPU usage with fractional allocation, MIG, and MPS setups Reduce cloud costs and monitor spending with Kubecost tools Secure GenAI workloads with RBAC, encryption, and service meshes Monitor system health and performance using Prometheus and Grafana Ensure high availability and disaster recovery for GenAI systems Automate GenAI pipelines for continuous integration and delivery

Who this book is forThis book is for solutions architects, product managers, engineering leads, DevOps teams, GenAI developers, and AI engineers. It's also suitable for students and academics learning about GenAI, Kubernetes, and cloud-native technologies. A basic understanding of cloud computing and AI concepts is needed, but no prior knowledge of Kubernetes is required.

By: Ashok Srirama, Sukirti Gupta
Foreword by: Rajdeep Saha
Imprint: Packt Publishing Limited
Country of Publication: United Kingdom
Dimensions: Height: 235mm, Width: 191mm,
ISBN: 9781836209935
ISBN 10: 1836209932
Pages: 334
Publication Date: 06 June 2025
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Ashok Srirama is a Principal Specialist Solutions Architect at Amazon Web Services (AWS) with over 19 years of IT experience, specializing in cloud architecture, distributed systems, Kubernetes, and Generative AI. Recognized with the prestigious AWS Gold Jacket and Kubestronaut accreditation, he has authored numerous technical publications, presented at 25+ tech summits, and created AWS solutions for enterprise container deployments. Sukirti Gupta has over 15 years of experience spanning Cloud Computing, Kubernetes, Generative AI, and Data Center Architecture. Sukirti currently leads go to market strategy for AWS (Amazon Web Services), supporting customers with their GenAI journey and has played pivotal roles at AWS, AMD, and Intel Corporation.