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Full-Stack Economic Optimization for Big Compute

A financial perspective on managing HPC for innovation

Full-Stack Economic Optimization for Big Compute

Financial decision makers need a new framework for assessing the performance and efficiency of their HPC simulation spend. Existing cost models designed for static, on-premises HPC environments, limit companies’ ability to understand, optimize, and cost-control their simulation practices since they lack the ability to evaluate multiple architecture types like cloud and hybrid.

This whitepaper revisits the metrics that obscure all-in costs and offers a holistic framework for measuring and optimizing for Full-Stack Economics Optimization (FEO) based on specific business objectives. Adopting a cloud operating model gives organizations a complete view of FSE and control of their compute resources. A Business Value Assessment (BVA) for a Rescale customer, demonstrating how Rescale can reduce all-in simulation costs and increase overall output.

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