Andrew Bonwick
Vice President of Product Development at Relm Insurance
Madhav Sheth
CEO of Ai+ Smartphone
Stephen Rose
CEO Render Networks


Synopsys and SiMa.ai have joined forces to create a comprehensive solution designed to accelerate the development of workload-specific silicon and software needed to power artificial intelligence (AI)-enabled features in next-generation automobiles. This solution will combine Synopsys’ electronic design automation (EDA), automotive-grade IP, and hardware verification tools with SiMa.ai’s machine learning accelerator (MLA) IP and ML software stack application development environment for maximum customisation of IP, subsystems, chiplets, and SoCs.
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Targeting Key Automotive Applications
The companies noted that “Advanced Driver Assistance Systems (ADAS) and In-vehicle Infotainment (IVI) are emerging as key differentiators for automakers with a tremendous diversity in applications.” The solution targets key automotive applications such as ADAS and IVI, which are reliant on artificial intelligence at the edge to deliver real-time, multi-modal in-car experiences. However, current software-defined vehicle (SDV) architectures are not equipped to support the diversity of applications and the required compute, performance, and reliability.
The companies believe that Automakers need AI-ready, workload-verified, power-efficient software architectures to compete in this new environment, along with hardware-software co-design solutions, from silicon–to–systems, to reduce development costs and de-risk start-of-production timelines.
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Synopsys and SiMa.ai Integrated Solution
Synopsys, working with more than 50 OEMs and Tier 1 suppliers, is utilising Synopsys virtual prototyping technologies and over 1,000 virtual models developed from SoC IP to board-level ICs and ASICs. SiMa.ai is a software-centric company specialising in developing high-performance, power-efficient machine learning system-on-chip (MLSoC) solutions for the embedded edge, according to the official release.