UberCloud Newsletter 09/2021

Feature stories about Automotive, Building Physics, Life Sciences, Data Analytics & AI, HPC in the Cloud, Multi-Cloud, and more.

Dear Colleague,

UberCloud’s Newsletter is out! At the occasion of this year’s HPCwire Readers Choice Award, we are presenting five actual projects which we performed with our customers and partners. With these projects in mind, we hope you will have enough info to vote for UberCloud in 4 categories. Thank You!

Kind Regards, Your UberCloud Team

Real-time Surgery Simulator for heart surgeons repairing cardiac valve leakage with Machine Learning on a multi-cloud Azure, Google, SUSE, UberCloud Platform

This real-time surgery simulator for customer 3DT Holdings has been implemented on top of UberCloud’s multi-cloud architecture on Google Cloud Platform (GCP) with management, monitoring, and health-checks on Azure Cloud performed through SUSE’s Kubernetes management platform Rancher. for their highly complex Living Heart Project and Machine Learning, 3DT Holdings was able to reduce simulation times from hours per simulation to just a few seconds highly accurate prediction of an optimal medical device placement during heart surgery. The team ran 3,000 simulations needed to train the ML algorithm. This project has been presented at the Supercomputing Frontiers Europe Conference in July 2021.

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Kubernetes Based HPC Clusters in Multi-Cloud Azure and Google Cloud Environment Using SUSE Rancher

In this HPCwire article, we describe UberCloud’s most advanced, fully automated MULTI-CLOUD, self-service, on-demand Engineering Simulation Platform implemented on Google Cloud Platform (for the computing part) and on Azure (for HPC cluster management, monitoring, and healthcheck) with SUSE Rancher Kubernetes Management Platform handling the multi-cloud aspects. See also our UberCloud Blog about the UberCloud Platform HERE.

Consumer Analytics with Natural Language Processing & Artificial Intelligence

The enormous popularity of big data in social media allows purchasers to voice their opinions with certain products or services. Therefore, the scope of this project has been to develop a consumer analytics framework considering e-commerce review data using AI machine learning techniques in the Cloud, to understand the consumer in real-time and to identify a critical issue affecting the business. For more details about this UberCloud Project #221, read this Datanami article.

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Accelerating Rimac’s R&D Pipeline with UberCloud/ Azure to Design and Deliver Electric Hypercars

UberCloud case study #220 is about Rimac developing electric hypercars, powertrains, and batteries. In early 2021, Rimac approached UberCloud to perform an extensive Proof of Concept with the goal of discarding their aging on-premise HPC cluster and moving engineering simulation workloads to the Cloud. Rimac and UberCloud implemented some of the engineering simulations on Microsoft Azure, designing and configuring their Azure cloud environment for running ANSYS and other CAE software, benchmark applications, analyze Total Cost of Ownership for cloud vs on-premise, and understand engineering simulation usage of Cloud HPC resources and related workflows.?

Buro Happold creates sustainable environments with UberCloud and Azure HPC fueled by Intel

When world-class global engineering practice Buro Happold needs to create the most complex models to ensure safety, sustainability, and performance for its stunning buildings, it turns to UberCloud and Microsoft Azure high-performance computing (HPC) using Intel? Xeon? processors. Designing unique spaces in challenging sites takes extraordinary amounts of computing power. Buro Happold keeps costs low and performance high with Azure for HPC via the UberCloud Engineering Simulation Platform. It’s a win for customers and those who love cutting-edge architecture. Interested? Read the Microsoft Azure Blog here.

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