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Computer simulation is a core tool in the design, testing and optimization of many products. In fact, extreme-fidelity simulation is now a requirement for the automotive and aerospace industries.
Manufacturing customers in areas such as aerospace, automotive, consumer goods and heavy industry have relied on Cray supercomputing systems for over 30 years.
- Cray® XC™ series systems have highly scalable networks and unmatched compute density to handle the most challenging simulation needs.
- The capacity-oriented Cray® CS™ series cluster supercomputers offer high performance and maximum configuration flexibility.
- Cray storage and data management systems provide integrated, reliable and modular scale-out Lustre® storage to maximize file system performance and scalability at any size.
- The Cray® Urika®-GX system is the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The Urika-GX system provides unprecedented versatility for running multiple analytics workloads concurrently on a single platform that leverages the speed of a Cray supercomputer.
With their application scalability and overall system performance, Cray solutions meet the demand for better fidelity in engineering simulation, enabling CAE to deliver increased insights and still meet today’s accelerated product development schedules. In fact, over the decades we have worked extensively with independent software vendors and the computer-aided engineering (CAE) community to advance the technology. With our industry partners, we have pioneered developments in crash simulation, noise, vibration and harshness simulation, and computational fluid dynamics.
Whether it’s a large research center routinely running CAE simulations over 10,000 cores or a commercial enterprise running thousands of simulations to support the design of multiple products, manufacturing customers such as the High Performance Computing Center Stuttgart and KTH Royal Institute of Technology choose Cray to enhance the value of simulation.