Ansys 2020 r2

Ansys 2020 R2 Accelerates Innovation for Engineering Teams

PITTSBURGH, PA, July 15, 2020 – The newly launched Ansys 2020 R2 brings enhanced solving and collaboration capabilities, key for enabling globally distributed teams to further organization-wide innovation. Ansys’ (NASDAQ: ANSS) newly updated advanced digital engineering tools help engineering teams develop new products, sustain business continuity, improve productivity and win the race to market.

Engineering teams are facing the daunting challenge of solving complex designs and meeting demanding product development schedules while working remotely. Ansys’ next-generation engineering simulation software, high-performance computing (HPC) resources and platform solutions has helped power team-wide global collaboration and information sharing. Ansys 2020 R2 significantly upgrades these tools, providing highly advanced solutions which reduce costs and speed production.

“Simulations that were taking us over a week to run are now being completed in less than two days,” said Benjamin Steinhaus, Engineering Director, Coca-Cola Freestyle, The Coca-Cola Company. “Overnight simulations are now being done in an hour. By using the Ansys® Cloud™ system that was provided to us, our team has actually increased productivity during COVID.”

Ansys 2020 R2 helps engineering teams accelerate innovation in any environment and create cutting-edge designs by harnessing new workflows and dynamic capabilities across Ansys’ flagship suites. Updates in Ansys Cloud offerings, such as virtual desktop infrastructure support, unite Ansys’ flagship simulation solutions with highly scalable compute power delivered by cloud-based HPC. Platform solutions enhanced with powerful workflows deliver a streamlined user experience with enhanced functionality for data and configuration management, dependencies visualization and decision support, as well as user-friendly workflows for process integration and design optimization and materials management. Ansys’ digital twin solutions enable remote monitoring of assets and are a critical component for predictive maintenance.

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