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For companies that focus on manufacturing areas that require heavy engineering simulations, unbridled computing power, or the management of data-intensive applications and workflows, the challenges multiply rapidly. They need a simulation platform that effectively solves these challenges by providing an access path to HPC in the cloud to drive innovation.
Over the last few years, the cloud has become more suitable for engineering workloads, thanks to the ever-increasing computing power and maturity of production software solutions delivered through faster and cheaper hardware. Early adopters outperformed HPC by implementing a cloud-first strategy on the enterprise side of the business. Today, the advantages of enterprise-owned cloud are finally available for production applications.
There are several challenges ahead for HPC in the cloud to work well.
The costs of owning and operating an in-house HPC system are often too large for companies to shoulder and cost millions. Companies going through a grueling process may wait six months or more before choosing a system that needs to be shipped and installed. All previous system and application software must be migrated to the new system. Setting up and running a simulation requires porting the latest version to the new system (usually three times a year), taking several days per instance.
Consider the total cost of ownership (TCO). Costs include hardware as well as software running on it, space where the hardware is kept, power usage, personnel, and more. TCO calculations must also take into account the organizational, operational and logistical costs that require continued effort and investment to keep a system up and running.
Another challenge—a company buys an HPC system today, but realizes tomorrow that it’s already obsolete. Running expensive simulation software on a legacy system can take much more time and further increase the total cost of ownership.
Enter UberCloud: Seamlessly integrated HPC in the cloud
UberCloud’s fully automated, self-service, multi-cloud engineering simulation platform and standard simulation workflow containers enable businesses in production to seamlessly integrate HPC into a “cloud first” or hybrid cloud strategy. With the latest implementation and implementation of resource-independent IT technologies like containers and Kubernetes, UberCloud delivers performance without compromise. Engineers can run complex simulation workflows from anywhere, including home offices, in a fast and familiar way, anytime using the latest technology.
Widely applicable to a variety of complex initiatives such as multi-physics simulations, construction, AI/machine learning, digital twins, data analytics, autonomous driving and edge computing, the UberCloud platform and application containers offer computing power, flexibility, and the most computing and computing power in many industries. the agility required by data-intensive applications. The UberCloud platform accelerates the recent “democratization of HPC” trend due to its ability to make HPC access and use transparent – enabling more engineers to implement HPC to solve tough problems.
UberCloud and Rimac Technology
Running computer simulations in the cloud accelerates innovative, high-quality development, optimizes agility, and accelerates time to market.
For Rimac Technology, accelerating the research and development pipeline to design and deliver powertrains, batteries and cutting-edge electric vehicle technology will make them more competitive, innovative and cost-effective. The first step required assessment of the aging on-premises HPC Cluster and the possibility of moving engineering simulation workloads to the cloud. The UberCloud and Microsoft Azure project team worked with Rimac’s experts to design and configure Azure cloud environments to run multiple computer-aided engineering (CAE) software calculations to benchmark applications. cloud HPC resources and related workflows.
Running on Microsoft Azure and using 3rd Gen AMD EPYC™ processors, the UberCloud engineering simulation platform and container technology integrates easily with existing IT, enabling engineers to run demanding simulations, test larger batches of prototypes faster than ever before, and do so securely. supports innovation. . Rimac engineers now have on-demand access to additional and more powerful computing resources in the cloud without having to leave the comfort of their workstations. They gain agility through shorter product design cycles, which are the direct result of shorter simulation times. They gain a superior level of quality by simulating more complex geometries and physics and simply by running more iterations. Because it is the cloud, Rimac only pays for what it uses, further enabling rapid innovation.
UberCloud has created a flexible global HPC architecture that can easily expand to other sites and handle a variety of workloads using on-demand, dedicated and spot instances, providing maximum flexibility and cost efficiency. Knowing that one of Rimac’s core technologies is high-performance battery packs, the UberCloud team assisted Rimac engineers to optimize designs with numerical simulations that analyze mechanical integrity, thermal behavior and electrical current distribution. Ultimately, HPC on Azure with UberCloud enabled Rimac to significantly improve overall design processes and increase simulation efficiency.
Rimac engineering workflows have been analyzed to provide the best cloud environment for engineering processes, reducing IT management burden. Engineers can use simulation applications and a wide variety of resources on demand, allowing for faster results and turnaround time while simultaneously giving the team full control and management. With Azure, engineering simulations achieve a scalable infrastructure, while data stored in Azure’s secure data centers eliminates data transfer delays.
What’s next: UberCloud and the manufacturing industry
UberCloud and Microsoft’s work with Rimac and other partners can be applied to any production design scenario. From machine learning to experiment design, parameter space evaluation, optimization algorithms and more, UberCloud’s technology is horizontal; it’s all about engineering, scientific simulations and data processing. Together, these resources allow organizations to move from running 10 to 50 simulations per hour on-premises to thousands of simulations per hour in the cloud.
UberCloud’s engineering simulation platform for building CAE applications running on Microsoft Azure with the latest 3rd Gen AMD EPYC processors is key to gaining competitive advantage. You can bring better, more innovative products to market faster, shorten product development time, and increase your engineers’ productivity and agility while reducing design and development costs.
Learn more about how UberCloud can enable your organization to leverage the large number of available cloud resources for production.
This content is produced by UberCloud, Microsoft Azure and AMD. It was not written by the editorial staff of MIT Technology Review.
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