Generative AI on Kubernetes (English, Roland Huß | Daniele Zonca)
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Generative AI on Kubernetes by Roland Huß | Daniele Zonca is listed under Computer Science on BookBajar. Full details, specifications and reader reviews are below.
Book Details
Publisher
O'Reilly Media
Language
English
ISBN-13
9781098171926
ISBN-10
1098171926
Author
Roland Huß | Daniele Zonca
About the Book
Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads. This book serves as a practical, hands-on guide for MLOps engineers, software developers, Kubernetes administrators, and AI professionals ready to combine AI innovation with the power of cloud native infrastructure. Authors Roland Hu and Daniele Zonca provide a clear road map for training, fine-tu…
ISBN: 9781098171926
ISBN-13: 9781098171926
ISBN-10: 1098171926
Reader's Guide
What This Book Covers
- ·The main subject matter of Generative AI on Kubernetes
- ·Ideas and detail relevant to Computer Science
- ·Context that helps make sense of the material as a whole
Best Suited For
Developers, IT professionals, and CS students.
Why It Stands Out
- ·Ships as a genuine physical copy, checked before dispatch
- ·Covered by BookBajar's 15-day return window
Frequently Asked Questions
What is the price of Generative AI on Kubernetes?
Generative AI on Kubernetes starts from ₹3955 at BookBajar. Available in Paperback.
Who is the author of Generative AI on Kubernetes?
Roland Huß | Daniele Zonca is the author of Generative AI on Kubernetes. Browse more books by Roland Huß | Daniele Zonca on BookBajar.
Is Generative AI on Kubernetes available in Paperback and Hardcover?
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What is the ISBN of Generative AI on Kubernetes?
Generative AI on Kubernetes has ISBN 9781098171926 (ISBN-10: 1098171926). Use this to confirm you're ordering the exact edition listed here.
What can I expect from Generative AI on Kubernetes?
About the Book Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads.
Product ID: isbn-9781098171926
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