Ansys teams with Supermicro and Nvidia to speed multiphysics simulation up to 1,600X
Ansys partnered Supermicro and Nvidia to deliver turnkey hardware, enabling unmatched acceleration for Ansys multiphysics simulations.
By leveraging the combined power of industry-leading hardware and software, Ansys customers can solve larger, more complex models up to 1,600 times faster. When running on Supermicro and Nvidia technology, Ansys said its solutions reduce time-to-market and facilitate more robust design exploration for a wide range of applications.
The simulations include automotive crash testing and external aerodynamics, aerospace gas turbine engines, 5G/6G antennas, and biopharmaceutical development. Synopsys is in the process of buying Ansys for $35 billion.
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.
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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: Ansys optiSLang AI+: 1,600x speed-up; Ansys Fluent: 24x speed-up; Ansys Mechanical: 6x speed-up; Ansys HFSS: 11x speed-up; Ansys Perceive EM: 53x speed-up; Ansys Rocky: 17x speed-up; and Ansys LS-DYNA: 4x speed-up.
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 breadth and depth of the Ansys multiphysics portfolio requires a thoughtful approach to compute
infrastructure with GPUs,” said Vik Malyala, president of EMEA and SVP of technology & AI at Supermicro, in a statement. “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.”
With the new tech, engineers can reduce overhead costs and energy consumption by using fewer servers to do the same work.
“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, in a statement. “Ansys simulation solutions play a key role in the development of our cutting-edge AI superchips, while Nvidia’s accelerated data center 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.”