Siemens Digital Industries Software announced that it has expanded the cloud platforms of choice available for systems-of-systems development with its PAVE360™ technology for Software Defined Vehicle (SDV) development which is now available on AMD Radeon™ PRO V710 GPUs and AMD EPYC™ CPUs running on Azure, Microsoft’s cloud and AI platform.
Siemens’ PAVE360 development and validation environment for system-of-systems requires powerful graphics acceleration for accurate simulation of scenario realization, as well as accelerated execution of AI perception, recognition, inference models, and infotainment visualization. The combination of high-performance AMD processors and GPUs and Azure offers impressive performance for these critical tasks.
“We’re excited to collaborate with Microsoft and AMD. We recognize that our customers have a preference in cloud platforms and associated hardware resources when deploying development platforms for SDV,” said David Fritz, vice president, Hybrid and Virtual Systems, Siemens Digital Industries Software. “With PAVE360 recognized as key enabler for SDV development, extending our support to Microsoft Azure and AMD hardware gives our customers greater flexibility.”
For automotive manufacturers to make the leap to true SDV development, a step change is needed in development methodology. PAVE360 running on Azure offers users the sophisticated cloud development features necessary for scalable SDV development while providing a system-aware view of behavior and the capability of identifying complex fault mechanisms.
In many instances software, hardware and system defects are not found until late in the design cycle or, worse still, when the fleet is deployed resulting in costly recalls and potentially significant brand damage. A system-aware approach to SDV validation helps to uncover these defects early in the modelling and simulation phase at which point many thousands of virtual scenarios can be run to isolate corner cases that otherwise would be missed. With the support of industry leaders such as Microsoft and AMD, Siemens brings system-aware SDV validation to the forefront with PAVE360.
“Our collaboration with Siemens and Microsoft allows automotive developers to leverage our leading AMD Radeon PRO GPUs and EPYC processors to power next generation ADAS and autonomous vehicle technologies,” said Salil Raje, senior vice president and general manager, Adaptive and Embedded Computing, AMD. “We are excited to support Siemens’ PAVE360 on AMD systems to enable developers with advanced automotive digital twin environments and help accelerate SDV.”
“By leveraging Azure’s robust infrastructure and AMD’s GPUs, PAVE360 now offers exceptional performance and scalability for Software Defined Vehicle (SDV) development,” said Dayan Rodriguez, corporate vice president, Manufacturing and Mobility, Microsoft. “This collaboration highlights our commitment to driving innovation in the automotive industry, enabling manufacturers to achieve a system-aware approach to SDV validation and ensuring the highest standards of safety and reliability.”
A PAVE360 demonstrator, leveraging Siemens’ Innexis™ Virtual System Interconnect (VSI) software and featuring AMD Radeon GPUs running on Microsoft Azure in the PAVE360 environment, will be shown at Embedded World March 11th-14th in Hall 4 / Booth Number 4-530.
To learn more about how Siemens is providing leading development capabilities for development of the Software Defined Vehicle industry, visit https://eda.sw.siemens.com/en-US/pave360/
About Siemens Digital Industries Software
Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens’ software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today’s ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation.
