Synopsys Partners with SiMa.ai to Innovate Automotive AI Technologies and Chip Architectures
- Synopsys partners with SiMa.ai to enhance AI applications in the automotive industry using advanced machine learning platforms.
- The collaboration aims to create chiplet architectures and SoC designs for ADAS and IVI applications.
- Integration of SiMa.ai’s ML simulators into Synopsys’ design platforms will improve power emulation accuracy for automotive AI technologies.
Innovative Partnership: Synopsys and SiMa.ai Join Forces to Advance Automotive AI Technologies
In a notable development within the electronic design automation (EDA) sector, Synopsys has expanded its strategic partnership with SiMa.ai, focusing on the enhancement of artificial intelligence (AI) applications in the automotive industry. This collaboration aims to leverage SiMa.ai’s advanced machine learning system-on-chip (MLSoC) platforms alongside Synopsys’ rich portfolio of automotive intellectual property (IP) and design tools. Together, they are set to create innovative chiplet architectures and system-on-chip (SoC) reference designs specifically tailored for Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment (IVI) applications. This partnership recognizes the growing demands for energy-efficient processing and real-time capabilities essential for modern automotive technologies.
The necessity for ultra-low power consumption in electric vehicles and the imperative for real-time processing in safety-critical systems underscore the strategic importance of this collaboration. SiMa.ai's CEO, Krishna Rangasayee, highlights that this partnership is designed to accelerate advancements in machine learning technologies across automotive platforms, addressing critical industry needs. The integration will enable faster development cycles and improve validation processes, ensuring that automotive OEMs and Tier 1 suppliers can meet the complex requirements of AI-driven automotive applications efficiently. Synopsys’ Chief Product Management Officer, Ravi Subramanian, points out the strong customer interest in combining their automotive IP with SiMa.ai’s innovative capabilities, reinforcing the demand for cutting-edge solutions in the evolving electric and autonomous vehicle landscape.
Additionally, the collaboration will facilitate significant advancements in features such as object detection and lane-keeping assistance, which are vital for the safety and functionality of future vehicles. By incorporating SiMa.ai's ML simulators into Synopsys' design platforms—including the Platform Architect™, Virtualizer™ Development Kit (VDK), and ZeBu® Emulation—the two companies aim to achieve 95-97% accuracy in power emulation estimates. This level of precision will likely enhance the overall development and deployment of AI technologies in vehicles, paving the way for smarter, software-defined automotive solutions.
In a related note, the electronic design automation landscape remains highly competitive, with companies like Cadence Design Systems recently navigating legal challenges related to compliance and export regulations. Such developments highlight the critical importance of adherence to legal frameworks in an industry where technology and national security intersect. As Synopsys and SiMa.ai work to innovate within the automotive sector, the broader EDA market continues to evolve, driven by stringent compliance requirements and the increasing demand for sophisticated automotive technologies.
