Manufacturers of all kinds share similar challenges when moving to the cloud. When your mission is to create the most advanced technology independently, regardless of what you’re developing, it’s only possible when you team up with the right partners.

Mate Rimac, CEO of Bugatti Rimac and Rimac Technology, builder of the fastest electric hypercars in the world, knows this well. The sports car Nevera is “not only the fastest accelerating in the world, but also comfortable, usable, and brimming with our advanced technology,” says Rimac. “We’ve set out to create the most advanced technology in-house and teaming up with the right partners made it possible.”

Rimac learned this when it partnered with UberCloud platform to power engineering simulations with AMD chips running on the latest Microsoft Azure high-performance computing (HPC) cloud infrastructure. “Our expert simulation engineers strive for the best battery performance and even more powerful and efficient powertrain components,” noted Rimac. Rimac Technology provides key insights into how manufacturing companies can leverage HPC in the cloud to accomplish the most complex engineering jobs with ease.

The all-electric sports car Nevera is “not only the fastest accelerating in the world, but also comfortable, usable, and brimming with our advanced technology,” says Mate Rimac, CEO of Bugatti Rimac and Rimac Technology.

For companies focused on manufacturing areas demanding heavy engineering simulations, unbridled compute power, or the management of data-intensive applications and workflows, challenges multiply quickly. They need a simulation platform that effectively solves these challenges, providing a path to accessing HPC in the cloud to stimulate innovation.

Within the last few years, the cloud has evolved to be more accommodating for engineering workloads thanks to ever-increasing compute power available via faster and cheaper hardware and the maturity of manufacturing software solutions. Early adopters implemented a cloud-first strategy on the enterprise side of the business, leaving HPC lagging. Today, the benefits of the cloud that the enterprise side enjoys are finally available for manufacturing applications.

For HPC in the cloud to work well, several challenges stand in the way.

Acquisition costs associated with owning and operating an on-premises HPC system often represent too great a burden for companies to shoulder, costing millions. Steering through a cumbersome process, companies may wait six months or more before selecting a system, which must be shipped and installed. All previous system and application software must be moved onto the new system. Getting a simulation up and running necessitates porting the latest release over to the new system (typically three times/year), taking several days per instance.

Consider the total cost of ownership (TCO). Costs include hardware as well as the software running on it, the space where hardware is kept, power usage, personnel, and more. TCO calculations must also account for organizational, operational, and logistical costs, demanding ongoing effort and investment to keep a system operating.

Another challenge—a company buys an HPC system today, only to realize that tomorrow, it’s already aged. Running expensive simulation software on an outdated system can take much more time, further increasing TCO.

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 enterprises in manufacturing to seamlessly integrate HPC into a “cloud-first” or hybrid cloud strategy. Applying the latest application—and resource-agnostic IT technologies like containers and Kubernetes—UberCloud enables performance without compromise. Engineers can run their complex simulation workflows from anywhere, including their home office, in a fast and familiar way, always using the latest technology.

Widely applicable to a variety of complex undertakings that include multi-physics simulations, construction, AI/machine learning, digital twins, data analytics, autonomous driving, and edge computing, the UberCloud platform and its application containers deliver the compute power, flexibility, and agility required by the most compute- and data-intensive applications across many

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By: Wolfgang Gentzsch
Title: Manufacturing is finally ready for digital transformation
Sourced From: www.technologyreview.com/2022/03/14/1047060/manufacturing-is-finally-ready-for-digital-transformation/
Published Date: Mon, 14 Mar 2022 14:00:00 +0000

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