A cost analysis of GPU infrastructure revealed significant financial and environmental inefficiencies, with idle GPUs costing approximately $45,000 monthly due to a 40% idle rate. The setup includes 16x H100 GPUs on AWS, costing $98.32 per hour, resulting in $28,000 wasted monthly. Challenges such as job queue bottlenecks, inefficient resource allocation, and power consumption contribute to the high costs and carbon footprint. Implementing dynamic orchestration and better job placement strategies improved utilization from 60% to 85%, saving $19,000 monthly and reducing CO2 emissions. Making costs visible and optimizing resource sharing are essential steps towards more efficient GPU utilization. This matters because optimizing GPU usage can significantly reduce operational costs and environmental impact, aligning with financial and climate goals.
