This case study explains how KeyBank improved cloud cost efficiency and performance by migrating workloads to Google Cloud instances powered by AMD EPYC™ processors. As part of its cloud acceleration strategy, the bank sought to optimize compute, memory, and storage consumption while maintaining security and scalability. By standardizing on AMD-based cloud instances, KeyBank achieved approximately 8% greater cost efficiency per core with equal or better performance compared to alternatives. The document highlights the value of elasticity, FinOps practices, and processor efficiency in large-scale cloud environments. It positions AMD EPYC™ technology as a key enabler of cost control, performance optimization, and secure cloud modernization in financial services.

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