Toyo Tire Picks HPE to Drive its AI Simulations

The expanded computational power reduces the time required for large-scale design simulations that Toyo Tire utilizes to train its AI models, according to the companies.

The expanded computational power reduces the time required for large-scale design simulations that Toyo Tire utilizes to train its AI models, according to the companies.

Toyo Tire Corp. selected Hewlett Packard Enterprise to deliver its seventh-generation high performance computing (HPC) system, which is reportedly three times more powerful than its predecessor, as a service through HPE GreenLake cloud. The upgraded system has boosted performance and has accelerated time to market for next-generation tires by processing structural tire data quickly and with greater precision, according to HPE. The expanded computational power reduces the time required for complex and parameter-rich large-scale design simulations that Toyo Tire utilizes to train its AI models, according to the companies.

“Toyo Tire continues to demonstrate innovation in tire engineering and development using high-performance computing,” says Hirokazu Mochizuki, senior vice president and managing director for HPE Japan. “We are pleased to collaborate with Toyo Tire and strengthen its digitized development with powerful HPE Cray performance delivered via HPE GreenLake cloud. The latest solution provides Toyo Tire an optimal level of performance, in a flexible environment, to support a new era of innovation, with speed and efficiency.”

The latest advancements allow Toyo Tire to stay ahead of market needs including trends in the transition to electric vehicles (EVs) and overall improvement to performance and features to minimize environmental impact across fuel consumption, noise levels, wear resistance and load-bearing capacity, Toyo Tire reports.

“As the automotive industry accelerates its digital transformation and increasingly moves towards simulation instead of prototyping and performance evaluation testing, automakers are increasingly requesting mathematical models of tires which is a faster, more cost efficient and sustainable process,” says Tamotsu Mizutani, corporate officer and division general manager, Technology Development Division of Toyo Tire. “This requires numerical mdels of the tire and our new HPC system will advance this move towards digitized simulation.”

Toyo Tire worked with a team of HPE experts on TOYO-FEM, one of its in-house computer-aided engineering (CAE) applications, to optimize its computing resources. The team improved the application’s performance by nearly three times, enabling more designers to run simulations simultaneously. The time required to simulate a large-scale design combining multiple design parts is reduced up to one-half or less compared to the previous system. The optimization has also substantially improved Toyo Tire’s deep learning inverse problem solver, which relies on analysis from simulations to formulate next-generation design specifications such as tire structure, shape and patterns, Toyo Tire reports.

Toyo Tire selected HPE GreenLake cloud to capitalize on a fully managed solution for its large-scale HPC system, which leverages HPE Cray XD systems, to gain flexibility to upgrade its HPC resources and enable more access to designers.

The HPE GreenLake cloud delivers a modern cloud experience, including managed infrastructure, consumption analytics and predictable economics that streamlines IT and business operations, according to HPE.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

More Hewlett Packard Enterprise Coverage

Share This Article

Subscribe to our FREE magazine, FREE email newsletters or both!

Join over 90,000 engineering professionals who get fresh engineering news as soon as it is published.


About the Author

DE Editors's avatar
DE Editors

DE’s editors contribute news and new product announcements to Digital Engineering.
Press releases may be sent to them via [email protected].

Follow DE
#29341