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 , customised 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 .

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 .

“ The synergy between Ansys and NVIDIA is propelling us into a new era of technological innovation ,” said Dion Harris , Director of Data Center Product Solutions at NVIDIA . “ Ansys simulation solutions play a key role in the development of our cutting-edge AI superchips , while NVIDIA ’ s accelerated data centre AI and Digital Twin platforms empower Ansys to push the boundaries of simulation performance . Together , we ’ re unlocking deeper insights and paving the way for groundbreaking advancements that will shape the future of engineering and AI .”

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

“ The breadth and depth of the Ansys multiphysics portfolio requires a thoughtful approach to compute infrastructure with GPUs ,” said Vik Malyala , President and Managing Director , EMEA ; SVP , Technology & AI , Supermicro . “ We are closely working with Ansys and NVIDIA with the broadest GPU and CPU systems offering ( Hyper / CloudDC , scalable GPU systems : 4U-10U and others ) to accelerate simulations , eliminate guesswork and improve customer deployment time worldwide .”

INTELLIGENT INFRASTRUCTURE

Shane Emswiler , Senior Vice President of Products at Ansys , said : “ Supermicro provides exceptional architecture for Ansys solutions , reducing constraints on the number , size and complexity of simulation models . We remain committed to working with NVIDIA to migrate our solutions currently supported on Hopper chips to Blackwell . By offering advanced , customised configurations with Blackwell and Hopper superchips , our customers ’ projects can truly span the full range of physics , from fluids to electronics and structures .” �

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