Full-Stack Economic Optimization for Big Compute

A financial perspective on managing HPC for innovation

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.

Download this paper to learn more.

Fill out the information below to download the resource.

By downloading this content, I agree to receive the DE 24/7 Newswire, a twice weekly free email newsletter (you may choose to opt-out in the newsletter).

Latest News

Editor’s Pick: 1-Meter Build Chambers for Professional 3D Printing
There's now an updated version of its ONE large-format 3D printer and a new PRO model with additional features for...

Aras Extends Leadership with Most Agile Release Cadence
Starting with Aras Innovator 14, new platform features, plus any updates to applications, connectors or platform components, will be released together...

Stratasys Advances Personalized Healthcare
Collaboration with Synopsys and Materialise gives customers access to FDA 510(k)-cleared workflows for diagnostic anatomic modeling.

QEV Technologies Uses 3DEXPERIENCE Platform for E-Mobility
Spanish specialist in technology and engineering for electric race cars deploys Dassault's platform on the cloud.

All posts