Target Audience of the platform#
AMD Resource Manager & AMD AI Workbench and this documentation are designed for three user personas, each focusing on different layers and aspects of the AI technology stack and lifecycle.
Infrastructure administrators: Professionals responsible for setting up, maintaining, and optimizing the infrastructure that supports AI workloads.
AI resource managers: Professionals responsible for granting access to compute resources, maintaining projects, users, and optimizing AI resources.
AI practitioners: Professionals who train, deploy, and manage AI models and applications in an enterprise environment.
While some familiarity with Kubernetes, containerization, and AI/ML concepts is helpful, this handbook provides detailed instructions and explanations to accommodate users with varying levels of expertise. The handbook guides you to set up a fully deployed AMD Enterprise AI platform optimized for AI workloads on AMD compute and provides the knowledge needed to run and manage AI use cases effectively.