Rescale
Case Studies
Leveraging Rescale to Remove Computational Bottlenecks: A Case Study with Resolved Analytics
Overview
Leveraging Rescale to Remove Computational Bottlenecks: A Case Study with Resolved AnalyticsRescale |
Analytics & Modeling - Digital Twin / Simulation Infrastructure as a Service (IaaS) - Cloud Computing | |
Digital Twin Virtual Reality | |
Cloud Planning, Design & Implementation Services | |
Operational Impact
Using Rescale has significantly changed the way Resolved Analytics approaches simulation. The firm is no longer conservative about how many processors they run a problem on, as they now have access to as many processors as they want. This has allowed them to complete jobs much more quickly. The firm also anticipates that using Rescale will allow them to advertise greater capabilities and achieve a better bottom line. They see cloud computing as a long-term part of their business, enabling them to cost-effectively execute the most complex simulations and serve more clients by having access to supercomputing resources. | |
Quantitative Benefit
Access to as many processors as needed, eliminating the need for underutilized standalone software licenses | |
Ability to run more iterations on trials and optimization due to increased computational resources | |
Cost savings from using cloud-based computing resources instead of maintaining high-capacity internal resources | |