How to Deploy an AI-Optimized Kubernetes Cluster with Kubespray

Explore the deployment of AI-optimized Kubernetes clusters using Kubespray in this informative conference talk. Learn about the key features and best practices of Kubespray, particularly in bare-metal environments where AI workloads can benefit from superior performance. Discover how to leverage Kubespray's capabilities through a comprehensive demonstration and discussion of its main features. Gain valuable insights into GPU support, scheduler enhancements, batch job queuing, RDMA network implementation, DRA driver integration, and GPU monitoring for AI workloads. Engage with the speakers as they delve into community involvement and future project developments, followed by an extensive Q&A session to address your specific queries about AI-optimized Kubernetes cluster deployment using Kubespray.