ANSYS, CAE, Cloud, Containers, Docker, HPC, MCADCafe, Microsoft Azure, Security, and Simulation
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Feature stories from CAE, HPC, Digital Manufacturing, Life Sciences, Big Data and AI
The monthlyUberCloudVoiceNewsletter is out! We hope you enjoy these hand-picked articles from the world of Technical Computing and Cloud.
Thanks and Regards,
The Future of HPC
Read UberCloud CEO Burak Yenier's latest blog post: “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 which is closer to the users than ever before."
High Performance Computing in the Hands of Every Engineer – With HPC Software Containers
High Performance Computing (HPC) continues to progress, and the next big step toward ubiquitous HPC is coming from software container technology based on Docker, facilitating software packaging and porting, ease of access and use, service stack automation and self-service, and simplifying software maintenance and support.
How to Select a Cloud Provider for CAE Simulations
Your simulations have exceeded the capabilities of your desktop workstation. Now what? Project workloads are only intensifying, requiring more computing resources than the IT department is willing to buy for your group. If only there was a cloud service for running simulations… David Waltzman writes about how to choose the right cloud for your specific CAE application and budget.
Product development has changed over the last couple of years and is still evolving. Smarter and more customized products, new materials and manufacturing methods, and connected and interacting devices require current engineering practices to evolve. Alexander Gatzemeier discusses what this means for ANSYS users and how they can successfully include cloud computing for their ANSYS application.
In this MCADCafe article, Wolfgang Gentzsch offers his view on how CAE is developing over the course of the year. There is a growing acceptance of Artificial Intelligence, Big Data, Industry 4.0, Digital Twins, 3D Printing, and Cloud Computing, fueled by the engineers’ desire to make their complex and demanding tools and techniques more applicable, economical, user-friendly, intuitive, and automatic, to be finally used by every engineer.
This UberCloud white paper covers the key areas of UberCloud security in detail and discussed Azure security principles. The primary areas of security including: Physical Security, System Security, Operational Security, Application and Data Security.
21 New UberCloud Case Studies about Containerized CAE Projects
New UberCloud Compendium of Engineering Case Studies Using UberCloud HPC Containers in the Cloud. A selection of 21 UberCloud case studies from 2015 – 2018, all based on UberCloud HPC Docker containers. 117 pages and numerous figures, tables, and diagrams. Download this new Compendium from the UberCloud website.