This node encompasses the key concepts and practical knowledge required to design, organize, and operate AI systems on HPC platforms. It brings together architectural considerations, workflow coordination, fine-tuning strategies, and agent-based designs relevant to scalable AI deployment.

• Identify major architectural design choices and their impact on AI scalability in HPC environments.
• Describe how AI workflows are coordinated and executed across distributed computing systems.
• Explain the function and design of intelligent agents in HPC-based AI systems.
• Summarize techniques for fine-tuning AI models, considering performance and resource constraints.

• AI1.1 HPC AI Architectures
• AI1.2 AI Workflow Management
• AI1.3 Agents
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Caution: All text is AI generated