Huawei and ESI build a CAE public cloud solution for manufacturing

[Hannover, Germany, April 27, 2017] Huawei teamed up with ESI Group (ESI), jointly announced a computer-aided engineering (CAE) Public Cloud Solution to support the digital transformation being experienced by organizations in the manufacturing industries at Hannover Messe 2017. The joint action provides designers and engineers with a public cloud-based CAE solution across multiple physics and engineering disciplines, integrating ESI’s virtual engineering solutions with Huawei high-performance computing (HPC) cloud service capabilities through browser-based modeling, analytics, visualization and real-time collaboration tools.

Currently, the joint solution has supported ESI CAE applications such as VPS, OpenFOAM and Big Data analysis tool Mineset to provide services to customers based on public cloud, and this solution has been validated on Huawei's OpenStack-based Public Cloud. The Telecommunication Public Clouds in Europe (such as the Open Telekom Cloud operated by T-Systems in Germany) powered by Huawei Public Cloud solution will support the ESI Cloud and be qualified soon.

The combination enables online collaborative product development across the globe, large-scale simulations, and analysis of massive data. Customers will experience improved efficiency, cost optimizations, enhanced green credentials and other benefits.

Sun Jiawei, Director, IT Business Development Department, Huawei, said,

"Huawei helps customers achieve business successes by sticking to our ‘Openness, Cooperation, Win-Win’ policy and devoting to establishing a positive cloud ecosystem. We are delighted to work with ESI Group to jointly help develop the public cloud solution and better serve customers with greater product choice."

Sanjay Choudhry, Vice President Cloud Business Unit at ESI comments,

"ESI HPC/CAE platform on the Open Telekom Cloud powered by Huawei is designed to address the complex demands of engineering organizations. The fully browser based cloud platform solves large multi-physics problems in a highly scalable and an extremely easy-to-use environment using a workflow based approach. We are very excited to be able to showcase this in the Hannover event".