GPU-Enabled Platforms on Kubernetes
GPUs resist Kubernetes' containerization model—they cannot be overcommitted, lack isolation mechanisms, and introduce security vulnerabilities when shared.
Effectively Leverage Virtual Kubernetes Clusters
According to Gartner, by 2026, 80% of large software engineering organizations will have formed platform engineering teams tasked with building internal development platforms. Yet, these teams often lack the essential knowledge and tools required to give their developers self-service Kubernetes environments.
This eBook addresses these critical issues by offering strategies to effectively leverage virtual Kubernetes clusters with vCluster, providing a solution that enhances efficiency, security, and developer productivity.
With this guide, you’ll learn:
- How GPUs meet Kubernetes and why GPU multi-tenancy is hard
- How to orchestrate GPU sharing
- Hardware isolation and enforcement, monitoring GPU clusters
- vCluster + GPU: Architecting GPU Infrastructure with Isolation and Efficiency in Mind
“This eBook distills our extensive experience and proven strategies in deploying virtual Kubernetes clusters through vCluster, crucial for any organization aiming to enhance their internal development platforms.
We provide readers with practical insights and tools necessary to build, scale, and secure their platforms efficiently. I am eager to see how this resource empowers your team and I look forward to engaging with you on your platform engineering journey.”
Co-Founder & CEO of vCluster
Deploy your first virtual cluster today.