UberCloud president Wolfgang Gentzsch was recently interviewed by our friends at Tech Company News. He discusses the future of cloud CAE and what comes next for UberCloud.
The adoption of HPC cloud simulations has already led to multiple fundamental shifts in the consumer electronics industry, such as use of virtual prototypes; the ability to create more complex and connected devices; and democratization of the industry.
The introduction of cloud-based simulations promises to spur rapid changes in the pharmaceutical industry, from shortening time to market and enabling the use of wearable technologies, to democratization of the industry and contributing to more personalized medicine.
Today cloud computing has taken over the world of IT. AWS alone is a collection of hundreds of services, some of which could not even have been imagined in 2006.
The push for greater fuel efficiency and the evolution of self-driving cars are propelling the automotive industry to adopt and adapt to disruptive technologies. Three independent research teams conducted experiments to evaluate the efficacy of HPC in the cloud for automotive design simulations.
Innovative companies are adding Cloud to their High Performance Computing (HPC) tool chest. Hybrid HPC blends together Cloud computing resources (from companies like Microsoft Azure, Google Cloud Platform, HPE) and more traditional on-premise HPC clusters. Here are 3 common reasons we see our customers implement Hybrid, on-demand HPC models:
Running in the cloud is tremendous fun to talk about. However, let's remember that the cloud is, for all intents and purposes, just “someone else's computer”. Furthermore, going to the cloud does not de facto mean that you will realize performance gains. I would like to take a brief moment to summarize 3 recommendations to improve the speed of your cloud simulation.
The world of computer-aided engineering (CAE) is constantly evolving. What’s next for the field? Just as in other industries, big data, the Internet of Things (IoT), machine learning and digital twins will lead to significant shifts, as will other emerging technologies.
We are in the golden age of computing. Cloud is mainstream and anyone with a credit card can join the party. So you would think a high-value engineer at an enterprise would be all set, right? Not according to the data.
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