PNY Technologies Inc.
0

NVIDIA QUADRO GV100

Bring Optimal Designs to Market Faster

THE ADVANTAGE OF GPUs FOR CAE

Computer aided engineering (CAE) workloads are computationally intensive, requiring massive amounts of double precision compute performance to complete critical simulation and modeling tasks. While current Intel Xeon CPUs offer up to 48 physical cores, the NVIDIA® Quadro® GV100 provides thousands of cores, offering a superior compute solution for CAE. 2x NVIDIA Quadro GV100 boards, connected by NVLink, scale performance for even the most extreme levels of performance required by the largest, most complex simulations.

"We have seen significant acceleration of our Abaqus FEA software simulations which help unify traditional design and simulation workflows."


Sumanth Kumar
Vice President, Growth, SIMULIA, Dassault Systèmes

Not only do GPUs provide the compute power necessary for compute intensive CAE workflows, they also deliver the visualization capability necessary to create complex designs, pre- and post-processing data for CAE analysis, as well as displaying the results in a visually intuitive way.

POWERING END TO END DESIGN/CAE WORKFLOWS

Bring Optimal Designs to Market Faster


CFD Fidelity (Millions of Cells


Abaqus Standard 2018 (Time in Hours, Lower is Better)

2x larger memory capacity enables high fidelity CAE simulation models (v. GP100)
3x solver performance completes simulations faster while exploring design options (v. CPU)

Significant ANSYS Mechanical 19 Acceleration


Power Supply Module (V19cg-1)


Turbine (V19sp-4)

Standout ANSYS Fluent 19 Acceleration


Pipes Model 9.6 Million Cells


Internal Flow of a Cooling Water Jacket Model - 5.4 Million Cells

Superb Abaqus/Standard 2018 Acceleration


Rolls-Royce Provided Model


Elastomeric Bearing Model

Close