This guide addresses the growing energy and environmental impact of high-performance computing and AI workloads. It examines key sustainability challenges including rising power consumption, cooling demands, and carbon emissions. The guide presents strategies for improving efficiency through intelligent workload scheduling, energy-aware resource management, and optimized infrastructure utilization. It also explores how modern workload managers and analytics tools help organizations balance performance, cost, and sustainability goals. By adopting sustainable computing practices, organizations can reduce operational costs, improve utilization, and align advanced computing initiatives with corporate environmental objectives.

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