~/talk

Building Custom GPU Clusters at Scale: Using Kubespray To Create High-Performance AI Infrastructure

name:Kay Yan
links:none on file
links:none on file
slides:none on file

Explains how to use Kubespray to deploy production-ready bare-metal Kubernetes GPU clusters for AI workloads, covering Kubespray fundamentals, features, and recent updates. Describes practical experience and best practices for scaling custom GPU clusters and integrating Kubernetes technologies such as LWS, Kueue, Gateway API Inference Extension, DRA, tensor parallelism to optimize RAG and LoRA workloads, and provides Kubespray inventory source code plus guidance on using Kubernetes operators to define and scale infrastructure in private clouds.

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