June 2025
Intermediate to advanced
338 pages
9h 17m
English
Content preview from Kubernetes for Generative AI Solutions
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Kubernetes – Introduction and Integration with GenAI
Deploying and managing GenAI workloads at scale presents significant challenges, including building the models, packaging them for distribution, and ensuring effective deployment and scaling. In this chapter, we will discuss the concepts of containers and Kubernetes (K8s) and why they are emerging as powerful solutions to address these complexities. They are becoming the de facto standard for companies such as OpenAI (https://openai.com/index/scaling-kubernetes-to-7500-nodes/) and Anthropic (https://youtu.be/c9NJ6GSeNDM?si=xjei4T9VfZvejD5o&t=2412) to deploy GenAI workloads. We will cover the following main topics:
- Understanding containers
- Why containers for GenAI models
- What is Kubernetes ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.