With affordability of cloud HPC, fast global accessibility, and intelligent software systems most automotive companies have already started moving simulation workloads to cloud. Whether it is private, public, or hybrid, cloud is the most efficient way to run simulations and keep up with the digital transformation.
Finally, after a long wait, High Performance Computing is now ready for your use in the cloud. And when combined with that other mega trend - the rise of machine learning - this portends a revolution in product development.
High Performance Computing is changing and is no longer limited to running high volumes of batch jobs on an HPC only compute cluster. We are in the era of multi-purpose and embedded High Performance Computing.
How To Select A Cloud Provider For CAE Simulations
ANSYS offers a broad portfolio of simulation tools to tackle engineering challenges. Lots of these highly sophisticated simulations require high performance compute (HPC) capacities to run – and more and more engineers are taking these workloads to the cloud. But why?
Many industry predictions for 2019 are talking about the wider and growing acceptance of Artificial Intelligence, Big Data, Industry 4.0, Digital Twins, 3D Printing, and Cloud Computing; no surprise, as this is a continuation of 2018
If you ever wanted to know how useful Artificial Intelligence can be for CAE, here is one educational example.
In this Blog, we demonstrate the impact of computer simulations on personalized health care and present two recent research projects managed by UberCloud, aiming at living heart and brain simulations which have recently been rewarded with several prestigious international awards.
During SC18, The International Conference for High Performance Computing, Networking, Storage, and Analysis, UberCloud has won three of the industry’s most prestigious community awards.
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