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ANSYS WORKS WITH SUPERMICRO AND NVIDIA TO DELIVER UNMATCHED MULTIPHYSICS SIMULATION WITH TURNKEY HARDWARE

Collaboration optimizes Ansys solutions and AI capabilities, boosts simulation speeds up to 1,600x.

  www.ansys.com
ANSYS WORKS WITH SUPERMICRO AND NVIDIA TO DELIVER UNMATCHED MULTIPHYSICS SIMULATION WITH TURNKEY HARDWARE
5G Antenna simulation using Ansys HFSS to accurately assess performance impact of antenna placement.

Ansys is collaborating with Supermicro and NVIDIA to deliver turnkey hardware, enabling unmatched acceleration for Ansys multiphysics simulation solutions. By leveraging the combined power of industry-leading hardware and software, Ansys customers can solve larger, more complex models up to 1,600x faster. When running on Supermicro and NVIDIA technology, Ansys solutions reduce time-to-market and facilitate more robust design exploration for a wide range of applications, including automotive crash testing and external aerodynamics, aerospace gas turbine engines, 5G/6G antennas, and biopharmaceutical development.

Getting the most out of multiphysics simulation involves integrating different types of physics solvers with a range of hardware choices, each offering unique performance benefits. However, sizing and configuring the right hardware for multiphysics simulation is a complex task that can significantly impact performance, cost, and productivity. Turnkey, customized hardware solutions with central processing units (CPUs), graphics processing units (GPUs), interconnects, and cooling modules allow engineers to run predictively accurate simulations more efficiently.

Collaborative testing between Ansys and Supermicro discovered replicating the performance of Ansys Fluent™ and Ansys Rocky™ running on one NVIDIA GPU would require 1,500 and 480 CPU cores, respectively. Ansys Perceive EM™ running on one NVIDIA GPU achieves the same performance as 1,000,000+ CPU cores.

In addition, the testing process revealed the following accelerations:
The speed-ups were achieved by introducing or replacing CPU cores and GPUs with NVIDIA technology. NVIDIA hardware used in testing included NVIDIA H100 GPUs, NVIDIA L40S GPUs, and the NVIDIA Grace CPU Superchip.

With NVIDIA technology designed with Ansys and Supermicro’s energy-efficient server technology, engineers can reduce overhead costs and energy consumption by using fewer servers to do the same work.

www.ansys.com

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